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Updated May 20, 20268 min readAnanya Krishnamurthy30 questionsFinance

AI Voice Agent for EMI Payment Reminders and Soft Collections

How Kallix AI voice agents automate pre-debit EMI reminders, handle NACH bounce follow-ups, and run compliant soft collection calls for 1–30 DPD accounts — cutting collection costs by 70% while maintaining RBI Fair Practices Code compliance.

The 30-second answer · TL;DR

Kallix AI voice agents automate the full pre-delinquency and early-delinquency collection cycle: pre-debit reminders 3–5 days before EMI due date, real-time NACH/ECS bounce follow-ups, and compliant soft collection calls for 1–30 DPD accounts. The agent captures Promise-to-Pay commitments, advises on EMI restructuring, communicates CIBIL consequences, and escalates to human collectors only at 31+ DPD or on-demand. Fully compliant with RBI Fair Practices Code, RBI Recovery Agent Guidelines 2008, and TRAI TCCCPR 2018. Typical cost: Rs 15–25 per call vs Rs 80–120 for a human agent; 68–76% first-call resolution on pre-delinquency reminders; deployment in 5–8 weeks.

Direct answer
An AI voice agent for EMI reminders is an automated outbound calling system that contacts borrowers before their EMI due date, immediately after a NACH/ECS bounce, and during the 1–30 DPD soft collection window. It captures Promise-to-Pay commitments, explains CIBIL consequences, offers EMI restructuring, and escalates only to human agents at 31+ DPD — at Rs 15–25 per call vs Rs 80–120 for a human agent.

Traditional EMI collection relies on human agents making high-volume outbound calls — expensive, inconsistent, and constrained by calling hours and headcount. Kallix AI voice agents replace human effort across the entire pre-delinquency and early-delinquency cycle without sacrificing empathy or compliance.

The workflow has three stages: (1) Pre-debit reminders — automated calls 3–5 days before EMI due date confirming account balance, NACH mandate status, and due amount; (2) Bounce follow-ups — calls triggered within 2–4 hours of a NACH/ECS return, advising re-presentation or alternate payment; (3) Soft collection calls — structured calls for 1–30 DPD accounts capturing Promise-to-Pay, explaining CIBIL impact, and offering restructuring pathways within RBI Fair Practices Code limits.

All interactions comply with RBI Recovery Agent Guidelines 2008 (no harassment, no third-party disclosure), TRAI TCCCPR 2018 (transactional classification for DND bypass), and the RBI Fair Practices Code for NBFC/banks. Every call outcome — PTP date, payment amount, restructuring request, or escalation flag — is logged to the LMS/CRM in real time.

Kallix customers in the retail lending segment report 68–76% first-call resolution on pre-delinquency reminders and a 22–35% reduction in 0–30 DPD bucket flow-through to 31+ DPD within 90 days of deployment.

  • Pre-debit reminders 3–5 days before EMI: confirms balance, NACH mandate, due amount
  • NACH/ECS bounce follow-up within 2–4 hours of return event
  • Soft collections 1–30 DPD: PTP capture, CIBIL advisory, restructuring offer
  • Escalates to human agents at 31+ DPD or borrower request
  • Rs 15–25/call vs Rs 80–120/human; 70%+ cost reduction
  • TRAI TCCCPR transactional classification: no DND block on reminders
Direct answer
Pre-debit EMI reminder calls are triggered 3–5 days before the due date from the LMS schedule. The AI confirms the borrower's identity (date of birth + last 4 digits of loan account), states the EMI amount and due date, checks if the registered NACH bank account is active, and asks the borrower to confirm sufficient balance — with a link to pay via UPI/net banking if they prefer not to wait for auto-debit.

The pre-debit reminder is the highest-ROI touchpoint in collections automation — a call placed before any payment failure that prevents the bounce entirely. Kallix pulls the EMI schedule directly from the LMS (Nucleus FinnOne, Newgen, Salesforce FSC, or custom CBS) and triggers outbound calls 3–5 days prior, with a follow-up call 24 hours before due date for borrowers who did not confirm balance.

Call script structure: (1) Identity confirmation using date of birth + last 4 digits of loan account number — no OTP required for outbound reminder calls; (2) EMI details stated clearly: due date, amount, loan account number suffix; (3) NACH bank account confirmation — 'Your auto-debit is set up from your SBI account ending 4521. Please ensure Rs 18,450 is available on 25 May'; (4) Payment alternatives — UPI link via SMS/WhatsApp for borrowers preferring manual payment; (5) Escalation offer — press 1 or say 'connect me' to speak with a loan servicing officer.

For borrowers who request a date change or flag a cash flow issue during the reminder call, the agent captures the request and logs it as a 'pre-delinquency advisory' in the LMS, flagging for a human follow-up within 24 hours. This early capture reduces the 0 DPD to 1–30 DPD roll rate by an average of 18–24% in production deployments.

  • Triggered 3–5 days before due date from LMS EMI schedule
  • Identity: date of birth + last 4 loan account digits (no OTP for outbound reminder)
  • States EMI amount, due date, and NACH bank account ending
  • Sends UPI payment link via SMS/WhatsApp if borrower prefers manual pay
  • Pre-delinquency advisory flag raised if borrower mentions cash flow issues
  • Follow-up call 24 hours before due date for unconfirmed accounts
Direct answer
When a NACH or ECS mandate returns unpaid, the LMS/CBS publishes a bounce event to Kallix within 2–4 hours. The AI calls the borrower, reads the bounce reason (insufficient funds, account closed, mandate frozen), requests payment via UPI/IMPS/NEFT, and captures a Promise-to-Pay date — all before the account formally enters 1 DPD. Bounce reason code R01 (insufficient funds) triggers a different script than R05 (mandate frozen) or R28 (account closed).

NACH/ECS bounces are the single largest driver of early-bucket delinquency in retail lending. The speed of follow-up is critical — borrowers who are contacted within 4 hours of a bounce have a 3x higher same-day payment rate than those contacted the next business day (Kallix production data, anonymised, 80+ lender customers).

Kallix listens to bounce events via LMS webhook or daily NPCI NACH return file (uploaded by 11:30 AM per NPCI settlement cycle). The AI classifies the bounce by reason code and tailors the response:

- **R01 — Insufficient Funds**: 'Your EMI of Rs 12,000 due today could not be deducted as your account did not have sufficient balance. You can pay now via UPI — I'll send a payment link to your registered mobile.'
- **R05 — Mandate Frozen / Hold on Account**: Routes to escalation immediately — mandate freeze often indicates a legal hold, regulatory action, or bank-side issue the borrower may not be aware of.
- **R28 — Account Closed**: Prompts borrower to update their bank account and NACH mandate — the agent initiates a mandate amendment flow and logs it.

For standard R01 bounces, the AI offers three payment paths: UPI link via SMS, IMPS transfer details, or branch/ATM deposit instruction. If borrower commits to a payment date and time, the PTP is logged to the LMS with a follow-up call scheduled 2 hours before the promised payment window.

  • Bounce event received via LMS webhook or NPCI NACH return file within 2–4 hours
  • R01 (insufficient funds): UPI/IMPS payment link sent immediately
  • R05 (mandate frozen): escalated to human — may indicate legal hold
  • R28 (account closed): mandate amendment flow triggered, bank account update requested
  • Promise-to-Pay date captured and logged to LMS with follow-up call scheduled
  • Same-day contact after bounce gives 3x higher payment rate vs next-day contact
Direct answer
For 1–30 DPD accounts, the AI makes a structured soft collection call: it confirms identity, states the overdue amount and DPD count, explains the CIBIL reporting consequence (missed EMI reported to bureaus after 30 DPD), offers three resolution paths (pay now via UPI, commit to a PTP date, or request restructuring), and escalates to human only if the borrower is hostile or requests legal/restructuring advice beyond the agent's scope.

The 1–30 DPD window is the highest-leverage point in collections — most borrowers in this bucket have cash flow timing issues, not genuine credit distress. An empathetic, informative call at this stage resolves 65–72% of accounts without human intervention (Kallix benchmark, retail lending cohort).

Call structure for soft collections:
1. **Identity verification**: date of birth + loan account last 4 digits + registered mobile OTP for sensitive data access.
2. **Overdue statement**: 'Your EMI of Rs 15,500 due on 10 May is now 8 days overdue. Your total outstanding is Rs 15,500 plus late charges of Rs 310.'
3. **CIBIL consequence**: 'As per RBI guidelines, missed payments beyond 30 days are reported to credit bureaus including CIBIL, which can reduce your credit score by 50–100 points and affect future loan eligibility.'
4. **Resolution options**: pay now via UPI (link via SMS), commit to a PTP date with a follow-up reminder, or request restructuring advisory (transferred to a loan servicing officer).
5. **PTP capture**: if borrower commits, the agent confirms the date, amount, and payment method; logs to LMS; schedules a reminder call 24 hours before and on the PTP date.

For borrowers with 20+ DPD, the AI also mentions the legal recovery process pathway — not as a threat, but as factual information per RBI Fair Practices Code: 'If the account remains overdue beyond 90 days, it is classified as an NPA, which may initiate recovery proceedings under the SARFAESI Act for secured loans.'

  • 1–30 DPD: identity verification then overdue amount + DPD count stated clearly
  • CIBIL impact explained: 50–100 point score drop after 30-day reporting
  • Three resolution paths: pay now via UPI, PTP commitment, or restructuring referral
  • PTP capture: date, amount, payment method logged to LMS; follow-up call scheduled
  • 20+ DPD script adds factual NPA/SARFAESI advisory per RBI Fair Practices Code
  • 65–72% resolution without human escalation in 1–30 DPD bucket
Direct answer
Yes. AI-driven EMI reminder and soft collection calls are fully compliant when classified as transactional calls under TRAI TCCCPR 2018 (DND-exempt), placed between 7 AM and 7 PM, limited to 3 calls per day per borrower, and designed without threatening, abusive, or misleading language per RBI Fair Practices Code and RBI Recovery Agent Guidelines 2008. Kallix builds all these controls into the call flow by default.

The regulatory framework governing collection calls in India has three primary pillars, all of which Kallix addresses by design:

**1. RBI Fair Practices Code (updated 2015, applicable to all banks and NBFCs)**: Calls must not be harassing, threatening, or abusive. No contact with relatives, neighbours, or employers except to obtain contact information. No calls before 7 AM or after 7 PM. Kallix enforces a hard 7 AM–7 PM calling window at the telephony layer, not just the script layer — the call physically cannot be placed outside these hours.

**2. RBI Recovery Agent Guidelines 2008**: Recovery agents (including AI systems acting as agents) must identify themselves and the lender at the start of every call. Kallix scripts begin: 'This is an automated call from [Lender Name] regarding your loan account ending [XXXX].' The agent name is disclosed, the purpose is stated, and no deceptive identity is used.

**3. TRAI TCCCPR 2018 and DND Registry**: Collection calls classified as 'transactional' (relating to an existing customer relationship — a loan account) are exempt from DND restrictions. Kallix registers headers with TRAI under the transactional category. However, calls are still limited to 3 per day per unique mobile number across all commercial entities per TRAI regulations.

Additionally, all call recordings are retained for 90 days minimum (per RBI Digital Lending Guidelines 2022 audit trail requirements) and are available for inspection by the lender's compliance team or RBI inspectors.

  • Calling window: 7 AM–7 PM enforced at telephony layer, not just script
  • TRAI TCCCPR: transactional classification — DND-exempt for existing loan accounts
  • Maximum 3 calls/day/mobile across all commercial callers per TRAI rules
  • Agent identifies lender name and loan account at call start — no deceptive identity
  • No contact with third parties except to obtain borrower contact information
  • Call recordings retained 90 days per RBI Digital Lending Guidelines 2022
Direct answer
The AI voice agent presents the overdue amount and asks the borrower to commit to a payment date and time. The borrower's verbal commitment is transcribed, confirmed back to them ('You've committed to pay Rs 14,200 by 2 PM on 25 May via UPI. I'll send a reminder. Is that correct?'), and logged to the LMS as a PTP event with status 'Promised.' A follow-up reminder call is automatically scheduled 24 hours before and on the day of the PTP.

Promise-to-Pay (PTP) capture is the primary measurable output of a soft collection call. A PTP converts an overdue account from 'unreachable' or 'unresolved' into an active commitment with a defined follow-up cadence. Kallix tracks PTP kept rates (PKR) and PTP broken rates as LMS performance metrics.

The PTP flow within the Kallix agent:
1. AI presents total overdue: principal EMI + applicable late charges + bounce charges.
2. AI offers three commitment options: full payment by a date, partial payment (if the lender's policy permits part-payment), or restructuring referral.
3. Borrower states a date. AI confirms: 'So you're saying you'll pay Rs 14,200 by 25 May — is that right?' The double-confirmation is deliberately phrased as a yes/no question to make the commitment explicit and auditable.
4. LMS updated: PTP record created with borrower name, loan account, promised amount, promised date, call recording reference, and agent session ID.
5. Reminder campaign: SMS 48 hours before PTP date + automated reminder call 24 hours before + day-of call 2 hours before promised time.

If the PTP is broken (payment not received within 4 hours of promised time), the account auto-escalates to the next call cadence and a flag is raised in the LMS for human review. Broken PTPs are tracked separately — accounts with 2+ broken PTPs are escalated to human collectors regardless of DPD count, as they represent a higher behavioural risk signal.

  • AI presents overdue amount and asks for commitment date and time
  • Double-confirmation phrased as yes/no for explicit, auditable consent
  • LMS updated with PTP record: amount, date, recording reference, session ID
  • Reminder SMS 48 hours before + call 24 hours before + call day-of
  • Broken PTP (no payment within 4 hours): auto-escalation flag raised in LMS
  • 2+ broken PTPs: escalated to human regardless of DPD — behavioural risk signal
Direct answer
Kallix handles all major NPCI NACH return reason codes: R01 (insufficient funds — UPI payment prompt), R02 (account closed/invalid — mandate amendment flow), R05 (mandate frozen/blocked — human escalation), R28 (account closed — new NACH registration), R29 (payment stopped by account holder — restructuring offer), and R30 (bank-specific technical return — retry and escalation). Each code triggers a distinct script and follow-up action.

NACH return codes are classified by NPCI into three categories: account-side issues (R01, R28, R29), mandate-side issues (R02, R05), and technical returns (R30 series). Kallix maps each code to a specific conversational script and LMS action:

**R01 — Insufficient Funds (most common, ~60% of bounces)**: The AI informs the borrower, explains late charges accruing, and immediately offers UPI payment via a link sent to the registered mobile. Late charges are calculated in real time from the LMS and stated explicitly.

**R02 — Mandate Invalid / Account Number Mismatch**: The AI asks the borrower to verify their account number and triggers a mandate amendment request. A new NACH registration link (via digilocker-authenticated eSign flow) is sent via WhatsApp.

**R05 — Mandate Frozen or Blocked**: This often indicates a garnishee order, bank regulatory hold, or court attachment — sensitive territory. The AI does not discuss the block's cause, and the call is immediately routed to a human collections officer.

**R28 — Account Closed**: The AI informs the borrower their registered account no longer exists and initiates a bank account update + new NACH registration flow.

**R29 — Payment Stopped by Account Holder**: Borrower has actively instructed their bank to stop the mandate. The AI captures reason, offers restructuring if financial hardship is stated, and escalates to a collections officer for negotiation.

**R30 — Bank Technical Return**: Treated as a temporary failure; LMS schedules a re-presentation on the next business day, and the AI calls to inform the borrower and confirm they'll keep the account funded.

  • R01 insufficient funds: UPI payment link sent immediately, late charges stated
  • R02 invalid mandate: account verification + eSign NACH amendment flow
  • R05 mandate frozen: immediate human escalation — possible legal hold
  • R28 account closed: bank account update + new NACH registration initiated
  • R29 payment stopped by holder: restructuring offer or human negotiation
  • R30 technical return: re-presentation next business day, borrower informed
Direct answer
The AI explains that under RBI regulations, lenders are required to report payment history to credit bureaus (CIBIL, Experian, CRIF High Mark, Equifax) monthly. A missed EMI beyond 30 days reduces CIBIL score by approximately 50–100 points, and NPA classification at 90 DPD is reported as a default — visible to all lenders for 7 years. The AI frames this as information, not a threat, per RBI Fair Practices Code.

Credit score impact communication is one of the most effective motivators in soft collections — and also one of the most regulated. Kallix scripts are designed to be accurate, factual, and proportionate — never threatening or misleading.

What the AI communicates accurately:
- RBI Master Direction on Credit Information Companies (CICs) requires banks and NBFCs to report credit data to all four bureaus (CIBIL/TransUnion, Experian, CRIF High Mark, Equifax) on a monthly basis.
- A payment missed beyond 30 DPD is reported as 'SMA-1' (Special Mention Account) by banks, which begins affecting bureau scores.
- NPA classification at 90+ DPD triggers a 'default' flag visible to all lenders when they pull the bureau report.
- Once an NPA is reported, it remains on the credit record for 7 years from the date of settlement, even after repayment.
- Score recovery after an NPA can take 12–24 months of consistent on-time payments.

What the AI does NOT say:
- It does not threaten legal action specifically ('we will take you to court') — this is permissible only if action is genuinely being initiated.
- It does not exaggerate score impact ('your score will drop to zero').
- It does not imply the borrower is a fraud or criminal.

For borrowers who are unaware their score has already been impacted, the AI offers to connect them to a loan servicing officer who can confirm current bureau status and advise on score improvement steps.

  • RBI mandates monthly bureau reporting to all 4 CICs: CIBIL, Experian, CRIF, Equifax
  • 30+ DPD: reported as SMA-1; 50–100 point CIBIL score drop typical
  • 90+ DPD: NPA default flag — visible to lenders for 7 years post-settlement
  • AI states facts, not threats — RBI Fair Practices Code forbids coercive language
  • No exaggeration of legal or financial consequences beyond factual regulatory position
  • Score recovery advisory: 12–24 months of on-time payments to rebuild post-NPA
Direct answer
Yes. When a borrower indicates financial hardship during a collection call, the AI can present available restructuring options (EMI deferral, step-down EMI, tenure extension, or OTS offer) from the lender's pre-approved restructuring matrix, capture the borrower's preference, and transfer to a loan servicing officer to execute the change — with full conversation context handed over so the borrower does not repeat their situation.

Restructuring advisory is one of the highest-value functions an AI collection agent can perform — it turns a potential NPA into a retained, performing asset. Kallix supports this through a configurable restructuring offer matrix that lenders upload to the platform based on their credit risk policy.

The restructuring matrix typically includes:
- **EMI deferral**: 1–3 months deferral with interest capitalisation (available for customers with clean pre-hardship payment history)
- **Tenure extension**: Reduction of EMI amount by extending loan tenure, within maximum permitted tenor for the product
- **Step-down EMI**: Temporarily reduced EMI (30–50% of original) for 3–6 months, stepping back up — used for contractual income disruptions like job transition
- **One-Time Settlement (OTS)**: For 60+ DPD accounts, a pre-approved OTS offer from the credit committee, presented only to qualifying accounts as defined in the lender's policy
- **Overdraft conversion**: For eligible borrowers, conversion of the outstanding to an overdraft facility — more flexible but typically higher rate

The AI does not make credit decisions — it reads from the lender's pre-approved offer matrix. It presents the available options, captures the borrower's expressed preference, and schedules a callback from a loan modification officer within 4 business hours. The conversation transcript and the borrower's stated preference are pre-loaded into the officer's CRM screen before the call, reducing average handle time by 40–50%.

RBI Digital Lending Guidelines 2022 require that restructuring offers be presented with a Key Facts Statement (KFS) — Kallix triggers an automated KFS dispatch via WhatsApp/email at the moment of restructuring expression of interest.

  • Restructuring matrix configured by lender: deferral, tenure extension, step-down, OTS
  • AI reads pre-approved offers only — no credit decisions made autonomously
  • Borrower preference captured; loan modification officer callback within 4 hours
  • Conversation transcript pre-loaded to officer CRM: 40–50% handle time reduction
  • KFS dispatched via WhatsApp/email at restructuring expression of interest — RBI DLG 2022
  • OTS offers surface only for 60+ DPD accounts matching lender's qualifying criteria
Direct answer
AI soft collection calls cover 1–30 DPD. At 31 DPD, accounts automatically escalate to the lender's human collections team with a full interaction history — every call made, every PTP captured or broken, every payment attempted and failed. The AI continues to send payment reminders and UPI links alongside the human collector's calls but no longer leads the primary collection conversation.

The escalation boundary at 31 DPD is both a business decision and a regulatory one. RBI Recovery Agent Guidelines 2008 require that recovery agents (human or automated) for accounts beyond certain stages are specifically authorised and trained — the regulatory intent is to ensure proportionate and compliant conduct as collection intensity increases.

Kallix's escalation architecture:
- **31 DPD threshold**: account auto-escalates in LMS; AI moves to a supportive role (reminders, UPI links, statement dispatch) while a human collector takes the lead.
- **Immediate escalation triggers** (regardless of DPD): borrower requests to speak with a human; borrower mentions dispute, legal notice, or insolvency; borrower uses threatening or abusive language; call classified as distress (death in family, medical emergency, natural disaster — the AI is trained to recognise these signals and pause collection activity).
- **Handover packet**: the LMS records transferred include call history, all PTPs (kept and broken), payment amounts received, NACH return reasons, and the transcript of the most recent AI interaction. The human collector's CRM screen is pre-populated before they call.
- **Parallel AI support**: even after human escalation, Kallix continues sending automated payment nudges via WhatsApp and SMS (not voice calls) so the human collector's effort is amplified rather than replaced.

For banks operating an internal collections team, Kallix integrates with dialers (Genesys, Avaya, Exotel, Knowlarity) so the escalation creates a predictive dialler task automatically.

  • 31 DPD: auto-escalation to human collections team with full interaction history
  • Immediate escalation: dispute, legal notice, insolvency, distress signals, human request
  • Handover packet: all PTPs, NACH returns, call transcripts pre-loaded to human CRM
  • AI continues WhatsApp/SMS payment nudges post-escalation — amplifies human effort
  • Dialler integration: Genesys, Avaya, Exotel, Knowlarity task created automatically
  • Distress signals (death, medical emergency): collection activity paused, case flagged
Direct answer
Kallix integrates with major Indian LMS platforms including Nucleus FinnOne Neo, Newgen Loan Origination, Intellect Design LeAP, Salesforce Financial Services Cloud, LeadSquared, and CBS platforms (Finacle, Oracle FLEXCUBE, Temenos T24). Integration is via REST API or SFTP file exchange, with PTP records, call outcomes, and bounce flags written back to the LMS in real time or within a 15-minute batch cycle.

LMS integration depth is what separates a real EMI collection AI from a generic call bot. Kallix is designed to both read from and write back to the LMS — not just dial and talk.

**Read operations** (LMS → Kallix):
- Daily EMI schedule pull: due dates, amounts, account IDs, borrower mobile
- NACH/ECS return file: uploaded by lender or fetched via NPCI return portal
- Existing PTP records: avoids duplicate collection calls on accounts with live PTPs
- Lender's restructuring matrix: eligibility criteria and offer parameters
- DPD count and collection stage: determines script variant and escalation threshold

**Write operations** (Kallix → LMS):
- PTP created: amount, date, channel commitment (UPI/cash/NEFT), call recording URL
- PTP broken: flag raised with timestamp and call outcome summary
- Bounce follow-up outcome: mandate amendment initiated Y/N, payment collected Y/N
- Restructuring expression of interest: product type, borrower-stated preference
- Call disposition codes: reached/not-reached/busy/wrong-number/deceased — matching the lender's own code taxonomy

**Supported integration methods**: REST API (preferred, real-time), SFTP file exchange (for legacy CBS), and Salesforce native connector (for Salesforce FSC users). Kallix also supports Oracle FLEXCUBE's collection module API and Nucleus FinnOne's NBFC API suite.

Deployment timeline for LMS integration: 3–5 weeks for REST API integration with a modern LMS; 6–8 weeks for legacy CBS with file-based exchange. The integration layer is built and maintained by Kallix — the lender's IT team only needs to provide API credentials and sign off on test results.

  • LMS: Nucleus FinnOne Neo, Newgen, Intellect LeAP, Salesforce FSC, LeadSquared
  • CBS: Finacle, Oracle FLEXCUBE, Temenos T24/Transact — REST or SFTP integration
  • Reads: EMI schedule, NACH return file, existing PTPs, restructuring matrix, DPD count
  • Writes: PTP records, broken PTP flags, call disposition codes, restructuring interest
  • REST API (real-time) or SFTP (legacy CBS); Salesforce native connector available
  • 3–5 weeks for modern LMS REST integration; 6–8 weeks for legacy CBS file exchange
Direct answer
RBI Fair Practices Code and TRAI TCCCPR 2018 together permit a maximum of 3 commercial calls per day per mobile number across all entities. Kallix enforces a default of 2 AI-led calls per day per borrower (leaving headroom for human collector calls), with mandatory 4-hour spacing between calls, and absolute cutoff at 7 AM and 7 PM. High-DPD or PTP-broken accounts can be escalated to 3 calls by supervisor override.

Call frequency governance in Indian collections is shaped by two overlapping regulatory frameworks — and Kallix enforces both at the telephony layer, not just in the script.

**TRAI TCCCPR 2018 (Telecom Commercial Communications Customer Preference Regulations)**: Commercial entities (including lenders) may make a maximum of 3 transactional calls per day per mobile number. All calls beyond 3/day to a DND-registered number are non-compliant regardless of transactional classification.

**RBI Fair Practices Code**: No calls before 7 AM or after 7 PM. Calls must not be harassing or repetitive in a way that amounts to psychological coercion. The spirit of the guideline is that frequency itself can constitute harassment if disproportionate.

**Kallix default configuration**:
- Maximum 2 AI collection calls per day per borrower (1 reserved for human collector)
- Minimum 4-hour interval between calls
- 7 AM–7 PM window enforced at telephony routing layer
- Accounts on DND: calls placed as transactional (borrower opted in to loan communications), but TRAI header must be correctly registered under transactional sender ID
- Supervisor override: up to 3 total calls/day for specific high-risk accounts (31+ DPD, PTP broken 2x)
- Holiday/Sunday calls: permitted for collection (RBI FPC does not exempt weekends for overdue accounts), but Kallix default is to reduce to 1 call on Sundays and public holidays as a best-practice configuration

All call attempts, including no-answer and busy, are logged per TRAI's record-keeping mandate for commercial communications.

  • TRAI TCCCPR: maximum 3 commercial calls/day/mobile across all entities
  • Kallix default: 2 AI calls/day (1 reserved for human collector), 4-hour minimum gap
  • 7 AM–7 PM window enforced at telephony layer — not just in script
  • Transactional classification used: DND does not block loan-related collection calls
  • Supervisor override for 31+ DPD or 2x broken PTP: up to 3 total calls/day
  • All call attempts logged — TRAI record-keeping mandate for commercial communications
Direct answer
Kallix supports 12 Indian languages for collection calls: Hindi, English, Hinglish (code-switched), Tamil, Telugu, Kannada, Malayalam, Marathi, Gujarati, Bengali, Punjabi, and Odia. Language is auto-detected from the borrower's registered state or prior call history within 4–5 seconds, with manual override available. Hinglish is the default for tier-2 and tier-3 Indian borrowers where neither pure Hindi nor English is preferred.

Language mismatches are one of the most significant causes of collection call failure in India — a Kannada-speaking borrower receiving a Hindi collection call will typically drop the call within 10 seconds. Kallix addresses this through automatic language selection at the point of call initiation.

Language determination logic:
1. **Registered state mapping**: borrower's address state maps to primary language (e.g., Tamil Nadu → Tamil, Gujarat → Gujarati).
2. **Prior call history**: if a previous call detected a language preference via keyword signals, that preference is stored in the borrower profile.
3. **Spoken word detection**: if the borrower responds in a different language than the opening, the AI detects and switches within one exchange.
4. **Manual override**: the borrower can say 'Hindi mein baat karo' or 'speak in English' and the AI switches immediately.

For collections specifically, tone calibration differs by language. The Kallix Hindi/Hinglish collection scripts are calibrated for directness without aggression ('Aapka EMI 8 din se due hai — kya aaj payment kar sakte hain?'). Tamil and Telugu scripts are calibrated for formal register, as informal tone in these languages can be perceived as disrespectful in a financial context.

Regional language support also matters for EMI documentation — the AI can send WhatsApp payment links and reminder messages in the borrower's preferred language, including Devanagari script for Hindi, Tamil script, and Telugu script, which significantly improves response rates in non-English markets.

  • 12 languages: Hindi, English, Hinglish, Tamil, Telugu, Kannada, Malayalam, Marathi, Gujarati, Bengali, Punjabi, Odia
  • Auto-detection from registered state or prior call history in 4–5 seconds
  • Mid-call language switch on spoken signal: 'Hindi mein baat karo'
  • Hinglish default for tier-2/tier-3 borrowers — code-switching reduces drop rate
  • Tone calibrated per language: direct Hinglish vs formal Tamil/Telugu register
  • WhatsApp payment links and reminders sent in borrower's preferred script
Direct answer
Kallix AI collection calls cost Rs 15–25 per call vs Rs 80–120 for a human agent call — a 70–80% cost reduction. On a portfolio of 50,000 monthly active collection accounts (average 3 calls each = 150,000 calls/month), this translates to Rs 82.5 lakh/month savings. Additional ROI: 22–35% reduction in 30+ DPD roll-through, 18–24% improvement in pre-delinquency prevention, and 68–76% first-call resolution on pre-debit reminders.

The economics of AI voice for EMI collections work at virtually any scale, but the break-even analysis changes significantly with portfolio size:

**Per-call economics**:
- AI (Kallix): Rs 15–25/call (includes telephony, AI processing, LMS write-back, recording storage)
- Human collections agent: Rs 80–120/call (salary + overhead + dialler + supervisor cost amortised per contact)
- Net saving: Rs 55–95 per call

**Portfolio-level impact (50,000 monthly active accounts)**:
- Total calls/month (avg 3 per account): 150,000 calls
- Human cost: Rs 1.2–1.8 crore/month
- AI cost: Rs 22.5–37.5 lakh/month
- Monthly saving: Rs 82.5 lakh–Rs 1.43 crore

**Beyond cost — recovery rate impact**:
- Pre-delinquency containment: 18–24% fewer accounts roll from 0 to 1 DPD (Kallix production benchmark)
- Early bucket resolution: 65–72% of 1–30 DPD accounts resolve without human escalation
- PTP kept rate: 54–63% of AI-captured PTPs are honoured within 48 hours
- DPD roll reduction: 22–35% fewer accounts cross 30 DPD into the hard collections bucket

**Deployment cost and payback**:
- Setup: Rs 8–18 lakh one-time (LMS integration + script development + UAT)
- Monthly platform: Rs 2–6 lakh depending on call volume
- Payback period: typically 30–45 days at 50,000+ active accounts

For lenders running dedicated collections teams, Kallix does not replace human collectors — it filters the portfolio so human effort concentrates on 31+ DPD accounts, fraud suspects, and restructuring negotiations, where human judgment adds the most value.

  • AI: Rs 15–25/call vs human: Rs 80–120/call — 70–80% cost reduction
  • 50,000 active accounts: Rs 82.5 lakh–Rs 1.43 crore monthly saving
  • 18–24% fewer accounts roll from 0 DPD to 1+ DPD (pre-delinquency containment)
  • 65–72% of 1–30 DPD accounts resolve without human escalation
  • PTP kept rate: 54–63% of AI-captured commitments honoured within 48 hours
  • Payback period: 30–45 days at 50,000+ active monthly accounts
Direct answer
For no-answer and switched-off numbers, Kallix retries up to the daily call limit (2–3 attempts, 4-hour spacing). For wrong-number or number-changed flags, the system triggers a skip tracing workflow: WhatsApp message to the registered number (in case the voice call network is congested), SMS to the alternate number on file, and escalation to human skip tracing if 3 consecutive days yield no contact.

Unreachable borrowers are a persistent challenge in collections — and the handling of no-contact accounts significantly affects NPA outcomes. Kallix distinguishes between three types of unreachability:

**Type 1 — Temporary Unreachability (busy/no-answer/call-dropped)**: The system retries within the same day up to the configured daily limit, spacing calls 4+ hours apart. After 3 no-answers in a day, the account enters a 24-hour cooling period before the next day's attempt cycle.

**Type 2 — Network/Device Unreachability (switched-off/out-of-network)**: Kallix triggers a parallel WhatsApp message and SMS to the registered number so that when the borrower's device reconnects, they have a written message awaiting. Research shows that 61% of borrowers with switched-off phones at time of call pick up a WhatsApp message within 6 hours of reconnecting (Kallix platform data, anonymised).

**Type 3 — Wrong Number / Changed Number**: If a call connects and the person identifies as not the borrower, the agent immediately confirms ('I'm sorry, I may have the wrong number — can I confirm, is this [borrower first name]?'), notes the response, and flags the account for skip tracing in the LMS. The skip tracing workflow includes: alternate number on file, WhatsApp message to the primary number (different delivery mechanism than voice), contact at registered address by field agent, and LinkedIn/email outreach if the lender's policy permits.

All unreachable dispositions are logged with timestamps. TRAI requires commercial communicators to maintain records of all contact attempts — Kallix's logging satisfies this requirement automatically.

  • No-answer/busy: retry up to daily limit (2–3 calls), 4-hour spacing, 24-hour cooling after 3 misses
  • Switched-off: WhatsApp + SMS triggered immediately — message delivered on reconnect
  • Wrong number confirmed: skip tracing flag raised in LMS, alternate number and email attempted
  • 61% of switched-off borrowers pick up WhatsApp message within 6 hours of reconnecting
  • 3 consecutive days no-contact: escalation to human skip tracing team
  • All contact attempts time-stamped and logged — TRAI commercial communication record-keeping
Direct answer
Yes. First-time missed payment (clean pre-default history): AI uses an empathetic, informational script — assumes oversight or cash flow timing, leads with NACH confirmation and UPI payment option, no mention of consequences unless unprompted. Repeat defaulters (2+ bounce history in 12 months): AI uses a structured PTP script that begins with consequence summary, skips the explanatory preamble, and escalates to restructuring or human faster.

Segmentation is the difference between a collections AI that builds customer trust and one that damages it. Kallix's collection calling behaviour is driven by the borrower's delinquency history profile, which is read from the LMS at the start of each call.

**First-time missed payment profile (no prior bounces in 12 months)**:
- Script opens with: 'Hi, this is an automated reminder from [Lender] regarding your loan account ending [XXXX]. Your EMI of Rs 18,500 due on 10 May has not yet been received. This could be an oversight — you can pay now via UPI, or if there's an issue we can help with, press 1 to connect with our loan servicing team.'
- Tone: low-pressure, solution-first. No consequence discussion unless the borrower brings it up or the call reaches 15+ DPD.
- CIBIL advisory introduced only after 15 DPD for first-time defaulters.

**Moderate repeat profile (1–2 prior bounces, 12-month window)**:
- Script acknowledges the prior history briefly: 'You had a similar delay in November — I understand cash flows can be unpredictable. Can we set up a payment plan to avoid the same outcome this time?'
- Restructuring offer surfaced earlier (7 DPD vs 15 DPD for first-timers).

**High-risk repeat profile (3+ bounces or any prior NPA)**:
- PTP script immediately: 'Your account has a history of payment delays. Today I need a specific commitment — which date and how much can you pay?'
- Consequence summary (CIBIL, NPA) stated at call open.
- Escalation to human at 7 DPD instead of 31 DPD.

The segmentation logic is configurable — lenders can adjust DPD thresholds and profile criteria based on their credit risk policy and portfolio mix.

  • First-time miss: empathetic tone, solution-first, no consequences unless 15+ DPD
  • 1–2 prior bounces: acknowledges pattern, restructuring offer at 7 DPD
  • 3+ bounces or prior NPA: structured PTP demand, consequences stated at open, human at 7 DPD
  • Segmentation read from LMS borrower history at call initiation
  • Configurable thresholds: lender adjusts DPD limits and profile criteria to credit policy
  • Tone calibration reduces premature escalation for low-risk first-time missed payments
Direct answer
Kallix deploys an AI EMI collection agent in 5–8 weeks: 1–2 weeks for LMS/CBS integration and data mapping; 2–3 weeks for script development, compliance review, and language calibration; 1 week for UAT with 150+ test cases covering NACH bounce scenarios, PTP flows, and escalation paths; and 1 week for pilot rollout on a controlled segment before full deployment.

The deployment is structured to minimise risk to the lender's portfolio — Kallix pilots on a controlled cohort before full rollout, so any script calibration issues are caught before they affect large account volumes.

**Phase 1 — Integration & Data (weeks 1–2)**:
- LMS API or SFTP credentials established
- EMI schedule pull and NACH return file mapping tested
- Borrower data schema mapped: loan account number, mobile, DPD, product type, EMI amount, due date, NACH bank account
- Write-back schema for PTP records, call dispositions, and bounce outcomes verified

**Phase 2 — Script & Compliance Build (weeks 2–4)**:
- Kallix content team builds language-specific scripts for: pre-debit reminder, bounce follow-up (all NACH return codes), 1–7 DPD, 8–15 DPD, 16–30 DPD, PTP capture, restructuring offer, escalation
- Scripts reviewed by lender compliance team against RBI Fair Practices Code, TRAI TCCCPR headers registered
- Language calibration for all required vernacular variants

**Phase 3 — UAT (week 5)**:
- 150+ test scenarios: NACH return code variants, PTP flow variants, identity verification edge cases, language switch, distress signal detection, escalation handover
- Lender QA team validates call recording quality, LMS write-back accuracy, and escalation timing

**Phase 4 — Pilot (week 6–7)**:
- Controlled cohort: typically 2,000–5,000 accounts in the pre-debit and 1–15 DPD bucket
- Metrics tracked: contact rate, PTP rate, payment conversion rate, escalation rate
- Script refinements based on pilot data

**Phase 5 — Full Deployment (week 8)**:
- Full portfolio segment activated
- Lender receives dashboard: daily call volumes, PTP rates, payment conversions, DPD distribution

  • Total deployment: 5–8 weeks from contract to full portfolio activation
  • Phase 1: LMS/CBS integration, data schema mapping — 1–2 weeks
  • Phase 2: script build + compliance review + TRAI header registration — 2–3 weeks
  • Phase 3: UAT with 150+ test scenarios including all NACH return codes — 1 week
  • Phase 4: controlled pilot on 2,000–5,000 accounts before full rollout — 1–2 weeks
  • Dashboard: daily call volumes, PTP rates, payment conversions, DPD distribution
Direct answer
RBI Digital Lending Guidelines 2022 require LSP disclosure, KFS delivery within 60 seconds for any loan-related interaction, prohibition on automatic EMI enhancement, a 3-day cooling-off period, and FLDG cap at 5% of portfolio. Kallix discloses its role as a Lending Service Provider (LSP) at call start, triggers KFS dispatch via WhatsApp for any restructuring or new-offer interaction, and does not initiate credit enhancement without borrower consent.

RBI Digital Lending Guidelines 2022 (RBI/2022-23/111) represent the most significant update to digital lending regulation in India. For AI collection agents, the relevant provisions are:

**LSP Disclosure**: Any entity acting as a Lending Service Provider must identify itself as an LSP at the start of every interaction. Kallix scripts begin: 'This is [Agent Name], a digital service operated by Kallix on behalf of [Lender Name].' This satisfies the disclosure requirement.

**Key Facts Statement (KFS)**: For any interaction involving loan terms — including restructuring offers, rate changes, or new product offers — a KFS must be delivered within 60 seconds to the borrower. Kallix triggers an automated WhatsApp/email KFS at the moment of restructuring expression of interest during a collection call.

**No Automatic Credit Enhancement**: The guidelines prohibit automatic enhancement of credit limits without explicit borrower consent. The Kallix collection agent never offers increased loan amounts or automatic top-ups as a collection incentive.

**Cooling-Off Period**: Borrowers have a 3-day window to exit a new digital loan without penalty. For borrowers in collections who take a new restructured loan offer, the 3-day cooling-off is preserved and communicated.

**FLDG Cap**: First Loss Default Guarantee arrangements between lenders and LSPs are capped at 5% of the loan portfolio. This is a lender-side compliance requirement; Kallix informs lenders of this limit in the commercial agreement.

**Grievance Mechanism**: RBI DLG 2022 requires a visible, accessible grievance officer mechanism. Kallix provides a dedicated escalation path to the lender's nodal officer during every collection call — borrowers can request the grievance officer contact details at any point.

  • LSP disclosure at call start: 'digital service operated by Kallix on behalf of [Lender]'
  • KFS dispatched via WhatsApp within 60 seconds of restructuring expression of interest
  • No automatic credit enhancement or top-up offers during collection calls
  • 3-day cooling-off period communicated for any new restructured loan product
  • Grievance officer contact details available at borrower request during every call
  • FLDG cap at 5% of portfolio — disclosed in Kallix commercial agreement with lender
Direct answer
Before any loan-specific information is shared, the AI verifies identity using two factors: loan account last 4 digits (something the borrower has) plus date of birth (something the borrower knows). If the borrower cannot verify in 2 attempts, the call is flagged as 'unverified contact' in the LMS and no account details are shared — preventing accidental third-party disclosure, which would violate RBI Fair Practices Code.

Third-party disclosure of loan information is one of the most serious compliance risks in collections. A collection call that reveals overdue details to a family member, employer, or neighbour — even unintentionally — is a violation of both the RBI Fair Practices Code and the IT Act 2000 (Section 72A, privacy of financial information).

Kallix's identity verification for outbound collection calls is designed to be fast (completed in under 20 seconds) while preventing accidental disclosure:

1. **Opening statement** (before any account information): 'This is an automated message for [Borrower First Name]. If you are not [First Name], please disconnect this call. I will not share any account information until identity is confirmed.'

2. **First factor — Loan account last 4 digits**: 'Please say or press the last 4 digits of your loan account number.' Voice input or DTMF accepted.

3. **Second factor — Date of birth**: 'Please say your date of birth in DD MM YYYY format.' Matched against LMS record.

4. **Single-attempt sensitivity**: If the borrower provides the correct loan account digits but incorrect DOB, the agent does not confirm the loan account digits are correct — it only says 'verification unsuccessful' to prevent progressive guessing.

5. **Third-party identified**: If someone says 'this is his wife, he's not available,' the agent provides only the lender's contact number and asks the borrower to call back — no account details, no DPD count, no amounts.

For high-DPD accounts (30+ DPD), an optional OTP verification layer can be added — the LMS triggers an OTP to the registered mobile number, which the borrower reads back to the agent. This is recommended for restructuring conversations where specific financial commitments are being made.

  • Loan account last 4 digits + date of birth — two-factor before any account detail shared
  • Opening: 'If you are not [First Name], please disconnect' before verification begins
  • Failed verification: 'unverified contact' logged, call ends — no account data shared
  • Partial-match protection: correct loan digits + wrong DOB → only 'verification unsuccessful'
  • Third-party identified: lender callback number provided only; no account information
  • Optional OTP layer for 30+ DPD restructuring conversations — triggered from LMS
Direct answer
Yes. When a borrower answers an EMI reminder call and confirms payment intent, the Kallix agent checks a real-time eligibility flag from the LMS or CRM and presents a pre-approved top-up offer in the same call. Lenders using this flow report 4–8% top-up conversion from borrowers who are current (0 DPD) and within 12 months of the original disbursement.

Cross-sell during a collections call sounds counterintuitive, but the data supports it for current borrowers (0 DPD) with strong repayment history. The Kallix agent follows a conditional script: the top-up offer is only surfaced if (a) the borrower confirms payment intent or states the EMI has already been paid, and (b) the LMS eligibility flag is positive (pre-computed by the lender's underwriting engine).

The agent says something like: 'Great, your EMI is already on its way. By the way, since your repayment record is excellent, you have a pre-approved top-up of Rs 2 lakhs — no paperwork needed. Want me to connect you to our loan team?' The warm transfer or callback scheduling happens in the same call.

This approach works because the borrower is already engaged, the trust signal (existing relationship) is high, and the offer is genuinely pre-approved rather than a prospecting pitch. Lenders using Kallix for EMI reminders have added top-up disbursal pipelines worth Rs 8–20 crore per month from borrower bases of 10,000–50,000 accounts.

Compliance note: the top-up offer must be disclosed as a loan product, and the borrower must be given the option to receive the Key Fact Statement (KFS) before accepting — consistent with RBI Digital Lending Guidelines 2022.

  • Offer triggers only for 0 DPD borrowers after confirmed payment intent
  • Pre-approved flag pulled from LMS/CRM in real time — no speculative pitching
  • 4–8% top-up conversion on current borrowers (12-month benchmark)
  • Warm transfer or callback scheduling in same call — no drop-off
  • KFS disclosure required before acceptance — RBI Digital Lending 2022 compliant
  • Lenders add Rs 8–20 crore/month in top-up pipeline from existing EMI base
Direct answer
The Kallix agent identifies moratorium requests during EMI reminder calls and routes them through a structured advisory flow: eligibility check against LMS policy, disclosure of interest accrual implications, and warm transfer to a human loan officer for approval. This prevents uninformed deferrals — a common source of borrower complaints — while reducing the call-handling time for moratorium queries by 60%.

Moratorium and EMI holiday requests spike during financial stress events (job loss, medical emergency, natural disaster) and were broadly permitted during COVID-19 (RBI Circular March 2020). Outside blanket relief periods, moratoriums are product-specific: some home loans allow one or two EMI skips; most personal and vehicle loans do not have a built-in holiday provision.

The Kallix agent is scripted to: (1) acknowledge the borrower's request without raising false hope; (2) check LMS product eligibility — if the loan product supports a holiday, confirm the number of available skips and the interest accrual method; (3) explain clearly that 'deferring your EMI doesn't waive interest — the deferred amount is added to your outstanding principal'; and (4) warm-transfer to a loan officer who can action the request.

For products without moratorium eligibility, the agent pivots to EMI restructuring options: extended tenure, partial prepayment, or hardship waiver requests — all of which require human officer approval.

Lenders deploying Kallix for moratorium advisory report a 40% reduction in borrower escalation complaints related to 'I didn't understand what I agreed to' — the leading cause of post-moratorium disputes.

  • LMS eligibility check in real time — no speculative moratorium promises
  • Interest accrual implications disclosed before any deferral is confirmed
  • Warm transfer to loan officer for approval — agent does not approve deferrals
  • Restructuring alternatives surfaced if moratorium not available on the product
  • 40% reduction in post-moratorium disputes (misunderstanding-driven)
  • RBI Fair Practices Code compliant — full disclosure before any modification
Direct answer
Yes. Kallix agents trigger outbound calls within 48 hours of a large credit card transaction (typically above Rs 10,000) to offer EMI conversion at the card issuer's pre-set rates. Conversion rates for AI-triggered EMI offers are 12–18% on eligible transactions, compared to 3–5% for in-app push notifications, because the agent addresses objections in real time (interest rate, tenure, processing fee).

Credit card EMI conversion is a high-margin product for card issuers — it converts revolving credit (which may be paid in full at month-end) into a fixed-tenure interest-bearing product. The challenge is that most cardholders are unaware of the conversion option or find the in-app flow confusing.

Kallix integrates with the card management system (CMS) via API to receive transaction webhooks. When a transaction above the issuer-set threshold occurs, the agent calls within 48 hours (before the billing cycle closes, maximising conversion eligibility). The agent explains: 'You spent Rs 45,000 at X. You can convert this to 6 EMIs of Rs 7,900, with a processing fee of Rs 299. Would you like to do that now?'

Borrowers who ask about the interest rate or compare with paying in full are handled by the agent's objection script — if the cardholder is unconvinced, the agent logs the decline and schedules a follow-up nudge at the next statement generation date.

For no-cost EMI transactions (merchant-subsidised), the agent still calls to confirm the conversion and ensure the cardholder knows the correct EMI amount and debit date, reducing disputes at statement generation.

  • Outbound call within 48 hours of large transaction — before billing cycle closes
  • 12–18% EMI conversion rate vs 3–5% for in-app push notifications
  • Real-time objection handling on rate, tenure, and processing fee
  • No-cost EMI confirmation call reduces statement dispute volume
  • CMS API integration via webhook for transaction-triggered dialling
  • Processing fee and interest rate disclosed upfront — MITC compliant
Direct answer
Kallix agents retrieve the live outstanding principal, applicable prepayment charge (zero for floating-rate home loans per RBI guidelines, up to 4% for fixed-rate personal loans), and net savings from early closure — and present this as a structured advisory in under 90 seconds. Borrowers receiving a real-time prepayment quote are 2.4x more likely to act within 30 days compared to those directed to a branch.

Prepayment enquiries are high-intent signals — borrowers asking about foreclosure are often holding a lump sum (bonus, inheritance, property sale proceeds) and will act quickly if the process is frictionless. The delay is usually caused by borrowers not knowing: (a) the exact outstanding principal today, (b) the applicable prepayment penalty, and (c) the interest saved by foreclosing now vs. in 12 months.

The Kallix agent pulls this from the LMS in real time and presents it as: 'Your outstanding principal today is Rs 18.4 lakhs. Since this is a floating-rate home loan, there is no prepayment charge. If you foreclose today, you save Rs 3.2 lakhs in interest compared to running the loan to term. Should I generate a foreclosure statement and send it to your registered email?'

For fixed-rate loans with prepayment charges, the agent discloses the charge percentage, computes the net benefit, and — if the borrower wants to proceed — warm-transfers to a loan officer to initiate the foreclosure process.

RBI mandates: For floating-rate home loans, no prepayment penalty is allowed (Circular 2012). For floating-rate non-home loans, prepayment penalty is permitted for non-individual borrowers only. Fixed-rate loans may carry a penalty, which must be disclosed upfront.

  • Live outstanding principal and foreclosure quote in under 90 seconds
  • Zero prepayment charge for floating-rate home loans — agent confirms this explicitly
  • Net interest savings computed and disclosed before borrower decides
  • Foreclosure statement dispatched to registered email or WhatsApp
  • 2.4x higher 30-day conversion vs branch-directed prepayment enquiries
  • RBI 2012 prepayment mandate for home loans built into script logic
Direct answer
Yes. Gold loans have a defined tenure (typically 3–12 months) after which lenders can auction pledged gold if the loan is not repaid or renewed. Kallix agents begin proactive outreach 30 days before maturity, with daily escalation in the final 7 days. Lenders using this flow reduce gold auction volumes by 60–75%, protecting both borrower relationship and the reputational risk of conducting auctions.

Gold loan auction is the nuclear option for lenders — it recovers outstanding principal but destroys borrower trust and invites regulatory scrutiny. IRDAI and RBI require lenders to give adequate notice before auctioning pledged assets, but 'adequate notice' in practice often means a registered letter that arrives too late for borrowers in rural or semi-urban areas.

Kallix provides a tiered outreach sequence for gold loan maturity:
- **T-30 days**: First reminder call — maturity date, outstanding principal, renewal option and rate, repayment link
- **T-14 days**: Second call — escalated tone, option to partially repay and renew the remainder
- **T-7 days**: Daily calls + WhatsApp — urgent tone, UPI payment link in every message
- **T-3 days and T-1 day**: Maximum urgency, warm transfer to branch manager or DSA offered

For borrowers who cannot repay in full, the agent is scripted to offer partial repayment + top-up renewal (paying down interest + partial principal to roll the loan). This option is disclosed as available and the borrower is connected to the branch to action it.

Lenders with Kallix on gold loan maturity report 60–75% reduction in auction volumes and 20–30% increase in loan renewal rates (vs. borrowers who simply don't renew due to inaction rather than inability to pay).

  • T-30 day proactive outreach — well before legal auction notice window
  • Daily escalation in final 7 days + WhatsApp UPI payment link
  • Partial repayment + renewal option surfaced for borrowers who cannot pay in full
  • 60–75% reduction in gold auction volumes (production data)
  • Warm transfer to branch manager in T-3 day and T-1 day calls
  • Protects lender reputation — gold auctions attract regulatory and media scrutiny
Direct answer
Kallix agents begin structured intervention at 1 DPD for vehicle loans — earlier than most lender collections calendars. The agent identifies the reason for default (forgot, cash flow issue, dispute) and routes each case to the right resolution path: payment link, restructuring advisory, or human escalation. Lenders using early AI intervention reduce roll-through from 30 DPD to 60+ DPD by 28–38%, directly reducing repossession volumes.

Vehicle loan repossession is operationally expensive (towing, storage, auction logistics) and legally complex — the Supreme Court mandated proper notice and procedure in cases like ICICI Bank vs. Shanti Devi Sharma. Avoiding repossession is almost always preferable for both lender and borrower.

The key window is 1–30 DPD (soft collections), where borrower intent is still recoverable. Many 30 DPD accounts are there due to NACH bounce (bank account low that month), salary delay, or simple forgetfulness — not genuine inability to pay. Kallix agents call within 24 hours of a missed EMI, establish the reason, and offer an immediate resolution:

- **Forgot / temporary cash flow**: payment link via SMS and WhatsApp, confirm receipt
- **Salary delay**: reschedule payment for a specific date, create PTP record in LMS
- **NACH bounce**: check if borrower wants to pay now via UPI or reschedule NACH re-presentation
- **Genuine hardship**: flag for restructuring advisory and human officer contact

For 31–60 DPD (hard collections), the agent escalates tone and frequency but continues to offer restructuring before the account hits the repossession threshold.

Lenders who deploy Kallix at 1 DPD (same-day intervention) see 28–38% lower roll-through to 60+ DPD compared to lenders who start collections at 7 DPD.

  • Intervention at 1 DPD — 24 hours after missed EMI, before behaviour hardens
  • Reason classification: NACH bounce, cash flow delay, hardship, or dispute
  • Payment link dispatched via SMS and WhatsApp in same call
  • PTP (promise to pay) captured and synced to LMS with follow-up trigger
  • 28–38% lower roll-through from 30 DPD to 60+ DPD (production benchmark)
  • Supreme Court repossession procedure risk reduced by keeping accounts out of 60+ DPD
Direct answer
Kallix covers four home loan EMI workflows: pre-debit reminders (T-3, T-1), NACH bounce recovery, EMI increase notifications when RBI raises the repo rate (floating-rate loans), and prepayment advisory. Home loan borrowers have a much lower risk tolerance for collections friction than personal loan borrowers — the agent tone is advisory, not collections-oriented, with a focus on keeping current borrowers current.

Home loans are structurally different from personal loans for EMI management: the ticket size is large (Rs 20 lakh–2 crore), the tenure is long (15–20 years), the borrower relationship is high-value, and the consequences of default are severe (property auction under SARFAESI 2002). This means the collections approach must be more advisory and less transactional.

Kallix home loan EMI flows:

**1. Pre-debit reminder (T-3 and T-1)**: Standard reminder with account name, EMI amount, and debit date. For home loans, the agent also confirms whether the borrower is on a floating rate and whether a rate change occurred since the last EMI — avoiding the surprise of a higher debit.

**2. NACH bounce recovery**: Same-day call after bounce, but with explicit reassurance tone: 'Your EMI of Rs 34,800 could not be debited — this sometimes happens due to a bank processing delay. Would you like to pay via UPI link now or should we retry the NACH in 3 days?'

**3. Rate change notification (floating-rate loans)**: When RBI changes the repo rate, Kallix triggers an outbound call to all affected borrowers explaining the new EMI amount, the revised tenure impact, and options (accept new EMI, part-prepay to maintain original EMI, extend tenure).

**4. Prepayment advisory**: As described in the foreclosure advisory question — especially relevant for home loan borrowers who received bonuses or property sale proceeds.

  • Pre-debit reminders include floating-rate change confirmation — no surprise debits
  • NACH bounce recovery uses reassurance tone, not collections tone
  • Rate change notification: new EMI, tenure impact, and options explained proactively
  • Prepayment advisory with zero-charge disclosure for floating-rate home loans
  • SARFAESI risk context: advisory approach protects high-value borrower relationships
  • Home loan borrower retention rate improves 15–20% with proactive rate-change calls
Direct answer
Yes, with constraints. Kallix agents handle pre-meeting reminders for JLG borrowers (individual mobile outreach before the weekly or fortnightly group meeting), missed-payment follow-ups for borrowers who didn't attend the meeting, and centre leader escalation routing. AI is not a substitute for the face-to-face JLG meeting dynamic, but it reduces field officer travel for routine reminders by 40–60% for urban MFI portfolios.

Microfinance Joint Liability Groups operate on a peer-lending model where group members are collectively liable for each other's repayments. Collections traditionally happen at weekly centre meetings facilitated by field credit officers (FCOs). AI voice agents add value in the pre-meeting and post-meeting phases, not the meeting itself.

Pre-meeting phase (T-1 day before centre meeting):
- Reminder call to each group member confirming meeting time, location, and EMI amount
- For borrowers who indicate they may miss the meeting, the agent escalates to the FCO and offers a digital payment option

Post-meeting phase (same day or T+1):
- For borrowers flagged as absent or partially paid, the agent calls to understand the reason and capture a PTP
- For borrowers who paid, the agent confirms receipt and provides a WhatsApp confirmation

MFI-specific compliance constraints:
- NBFC-MFI Fair Practices Code (RBI): EMI calls must not involve coercion, must not involve calling family members without consent, and must respect calling hours (8 AM–7 PM)
- RBI MFIN guidelines cap total indebtedness — the agent does not offer top-up products to JLG borrowers without explicit credit bureau check
- Centre leader (group president) can be notified of group-level attendance risk, but individual member payment status cannot be disclosed to other group members (privacy constraint)

Urban MFI portfolios (city-based borrowers with smartphones) see higher AI resolution rates (35–45%) than rural portfolios (20–28%) due to digital payment adoption.

  • Pre-meeting reminder to each JLG member — reduces FCO travel for routine reminders
  • Post-meeting follow-up for absent or partially paid members with PTP capture
  • Centre leader escalation for group-level attendance risk (individual data not disclosed)
  • 40–60% reduction in FCO field visits for routine reminders in urban MFI portfolios
  • NBFC-MFI Fair Practices Code compliant — no coercion, no family contact without consent
  • Individual payment status not shared with group members — privacy boundary maintained
Direct answer
Yes. Bullet repayment loans (where principal is paid at maturity rather than in monthly instalments) and overdraft accounts (renewed annually) require a different reminder architecture than EMI loans. Kallix agents begin outreach 45 days before bullet maturity or OD renewal deadline, with escalating urgency, achieving 78–85% on-time renewal or repayment rates compared to 55–65% without proactive outreach.

Bullet loans are common in working capital financing, gold loans, and some MSME term loans. The entire principal is due on a single date — making that date a high-stakes event. Unlike EMI defaults (which give a lender 30–90 days to act), a missed bullet repayment immediately triggers NPA classification under RBI norms.

Kallix bullet repayment reminder sequence:
- **T-45 days**: First call — maturity date, outstanding principal, renewal options if available
- **T-30 days**: Second call — offer to initiate refinancing or rollover request if borrower needs extended tenure
- **T-14 days**: Third call — escalated tone, confirm fund arrangement plan
- **T-7 days**: Daily calls + WhatsApp — UPI payment link, warm transfer to relationship manager
- **T-1 day**: Final reminder with immediate warm transfer to RM if no confirmation

For overdraft accounts:
- OD renewal typically requires annual review of financial statements and limit reconfirmation
- Kallix agents call 45 days before expiry to initiate document collection (ITR, GST returns, financials)
- The agent schedules a meeting with the relationship manager for the credit review
- Failure to renew on time results in the OD account converting to a term loan, often at a higher rate — the agent explains this consequence clearly

Borrowers with Kallix bullet reminder flows show 78–85% on-time payment vs 55–65% for lenders relying on email reminders alone.

  • T-45 day outreach for bullet loans — NPA risk on a single missed date
  • Daily calls + WhatsApp in final 7 days with UPI payment link
  • Refinancing/rollover option surfaced at T-30 for borrowers needing tenure extension
  • OD renewal: document collection initiated 45 days before expiry date
  • 78–85% on-time bullet repayment vs 55–65% for email-only reminders
  • OD-to-term-loan conversion consequence disclosed — prevents borrower surprise
Direct answer
AI voice agents handle the 1–30 DPD soft collection window, pre-debit reminders, and NACH bounce follow-ups — none of which require a registered recovery agent under RBI Recovery Agent Guidelines 2008. Registered recovery agents are required for field visits and 60+ DPD hard collections. AI reduces the volume of accounts that reach that stage, reducing recovery agent headcount requirements by 30–50% in typical deployments.

RBI Recovery Agent Guidelines 2008 define a recovery agent as 'any person engaged by a bank for the purpose of recovery of dues from borrowers.' The guidelines require: (a) the agent must be certified by IBA-approved institutes; (b) the agent's identity and the bank's authorisation must be disclosed to the borrower; (c) agents may not resort to any harassment, intimidation, or illegal methods.

AI voice agents are not classified as recovery agents in the traditional sense — they are automated service systems operating on behalf of the lender, similar to IVR systems that have been in use for collections for decades. The RBI has not separately classified AI voice systems as recovery agents (as of 2026), but the spirit of the guidelines — no harassment, no deceptive practices, no third-party disclosure — must be followed, and Kallix builds these constraints into every script.

The practical implication for lenders:
- **1–30 DPD**: Kallix AI handles the entire soft collection cycle. No registered recovery agents required for this bucket.
- **31–90 DPD (hard collections calls)**: Human agents with IBA certification required. Kallix provides the escalation pipeline and account context.
- **90+ DPD (field recovery)**: Registered field recovery agents required, certified per RBI 2008 guidelines. Kallix does not replace field agents.

By reducing roll-through from 0–30 DPD to 31+ DPD by 22–35%, Kallix directly reduces the volume of accounts requiring certified recovery agents, which is the most expensive and capacity-constrained part of the collections stack.

  • AI handles 1–30 DPD soft collections: no IBA-certified recovery agent required
  • RBI Recovery Agent Guidelines 2008 apply to field visits and hard collections (31+ DPD)
  • Kallix follows spirit of guidelines: no harassment, no third-party disclosure, lender disclosed
  • 31+ DPD calls: human agents with IBA certification required — Kallix provides escalation pipeline
  • 22–35% reduction in 30+ DPD roll-through → 30–50% fewer certified recovery agent interactions
  • 90+ DPD field recovery: outside Kallix scope — registered field agents still required
People also ask
  • Yes. AI collection calls classified as transactional under TRAI TCCCPR 2018 are DND-exempt for existing loan accounts. Calls must be placed between 7 AM and 7 PM, limited to 3 per day, and must not use harassing or threatening language per RBI Fair Practices Code.

  • Pre-debit reminders are placed before the EMI due date to prevent a NACH bounce — no overdue exists yet. Collection calls are placed after a missed payment (1 DPD onwards) to secure payment. Pre-debit reminders have a higher resolution rate and lower compliance sensitivity than collection calls.

  • AI costs Rs 15–25 per call vs Rs 80–120 for a human agent — 70–80% cheaper. AI operates 18 hours a day (7 AM–1 AM), handles unlimited concurrent calls, and maintains 100% script compliance. Human agents are better for 31+ DPD negotiation, restructuring, and hostile borrowers.

  • A Promise-to-Pay (PTP) is a verbal commitment from a borrower to pay a specific amount by a specific date. The AI captures this, confirms it back to the borrower, logs it to the LMS, and schedules follow-up reminder calls 24 hours before and on the PTP date.

  • R01 is insufficient funds — the most common bounce reason. The AI calls within 2–4 hours, states the missed amount, explains late charges, and sends a UPI payment link via SMS. If the borrower commits to a payment time, a follow-up reminder is scheduled.

  • Industry standard in India: AI soft collections cover 1–30 DPD; human hard collections cover 31–90 DPD; NPA classification at 90 DPD triggers SARFAESI or legal recovery proceedings for secured loans. AI reduces the volume reaching 31+ DPD by 22–35%.

  • No. Receiving a collection call does not affect CIBIL score. Only the payment delinquency itself is reported to bureaus. The AI informs borrowers that missing EMIs beyond 30 days results in bureau reporting, not that the call itself has any credit impact.

  • Yes. The AI can present pre-approved restructuring options from the lender's offer matrix — EMI deferral, tenure extension, step-down EMI, or OTS. It captures the borrower's preference and transfers to a human loan modification officer, who executes the change with full call context pre-loaded.

  • TRAI TCCCPR 2018 limits commercial calls to 3 per day per mobile number across all entities. Kallix default is 2 AI calls per day, reserving 1 slot for human collector calls. Calls are spaced 4+ hours apart within a 7 AM–7 PM window.

  • The AI acknowledges the claim, asks for the UPI reference number or transaction ID, and places the call in a 'payment claimed — verification pending' status in the LMS. The account is paused from further collection calls for 4 hours while the payment team verifies against CBS records.

  • RBI Fair Practices Code does not exempt Sundays or public holidays from collection calls — the 7 AM–7 PM window applies all days. However, Kallix's recommended configuration reduces Sunday calls to 1/day and suppresses calls on Diwali, Eid, and Christmas as a borrower-sensitivity best practice.

  • Kallix supports 12 languages including Hindi, Hinglish, Tamil, Telugu, Kannada, Marathi, Gujarati, Bengali, Punjabi, Malayalam, Odia, and English. Hinglish is the recommended default for tier-2/tier-3 markets. Auto-detection uses the borrower's registered state as the primary signal.

  • If a call connects and the respondent identifies as not the borrower, the AI immediately stops, provides only the lender's callback number, and logs the call as 'third-party contact — no details shared.' Sharing loan information with a non-borrower violates RBI Fair Practices Code and IT Act Section 72A.

  • Kallix integrates with Salesforce FSC, LeadSquared, Nucleus FinnOne Neo, Newgen, Intellect Design LeAP, and custom CBS platforms via REST API or SFTP. PTP records, call dispositions, and bounce outcomes are written back in real time or within a 15-minute batch cycle.

  • Yes — AI soft collections (pre-debit reminders, 1–30 DPD) work identically for secured and unsecured loans. For secured loans at 90+ DPD, SARFAESI provisions apply (for loans above Rs 1 lakh) — the AI communicates these factually but the legal recovery process requires human oversight.

  • The AI acknowledges the hardship, surfaces available restructuring options (EMI deferral, step-down EMI), and transfers to a loan modification officer with the conversation context pre-loaded. The call is flagged in the LMS as a hardship case, which typically triggers the lender's specific hardship policy workflow.

  • Kallix benchmarks show 54–63% of AI-captured PTPs are honoured within 48 hours of the committed date. PTP kept rate improves to 68–74% when a day-before reminder call and day-of reminder call are deployed alongside the initial commitment.

  • Yes. Kallix allows product-specific deployment — you can activate AI collection for two-wheeler loans while keeping personal loan collections human-managed, for example. Each product type has its own script variant, restructuring matrix, and escalation threshold. Mixing AI and human per product is fully supported.

  • Building in-house requires 12–18 months and Rs 2–5 crore in engineering and compliance build cost, without the LMS integrations, TRAI header registrations, or RBI compliance expertise already built in. Kallix deploys in 5–8 weeks at Rs 8–18 lakh one-time, with ongoing compliance updates included in the subscription.

  • Kallix provides a real-time dashboard showing: daily call volumes, contact rate, PTP capture rate, PTP kept rate, payment conversion rate, DPD distribution before and after AI contact, language breakdown, bounce reason code breakdown, and escalation rate. Monthly benchmarking against the Kallix 80+ customer aggregate is included.

Sources & references

Citations

  1. RBI Fair Practices Code for LendersReserve Bank of India
  2. RBI Recovery Agent Guidelines 2008Reserve Bank of India
  3. RBI Digital Lending Guidelines 2022 (RBI/2022-23/111)Reserve Bank of India
  4. TRAI Telecom Commercial Communications Customer Preference Regulations 2018Telecom Regulatory Authority of India
  5. NPCI NACH Operating Procedure and Return Reason CodesNational Payments Corporation of India
  6. RBI Master Direction on Credit Information CompaniesReserve Bank of India
  7. IBA Model Recovery Agent Certification FrameworkIndian Banks' Association
  8. McKinsey Global Institute — AI in Financial Services: Collections Automation ROIMcKinsey & Company
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