Claim status inquiry is the highest-volume inbound call type for most insurance companies after claims registration — policyholders average 3.8 status calls between FNOL and settlement per IRDAI consumer survey data. These calls are high in frequency but low in complexity: 85–90% require only a factual status read from the CMS, not a judgment call or exception handling.

The AI voice agent handles this workflow by integrating directly with the insurer's CMS (Majesco, DuckCreek, Sapiens IDIT, or proprietary systems) via RESTful API. When a policyholder calls, the agent verifies identity in under 20 seconds (policy number + last 4 digits of registered mobile, or policy number + date of birth), then queries the CMS for the active claim record.

The CMS response returns the current claim stage, the date of last action, the next required action and its owner (policyholder: document pending; insurer: surveyor report in progress; TPA: pre-auth under review), and the expected settlement date based on IRDAI timelines from the current stage. The agent reads this status in plain language — not CMS codes like 'SUR_COMP' but 'Your surveyor inspection was completed on 12th May. The surveyor's report is expected within 7 working days. Your estimated settlement date is 28th May.'

For complex claims with multiple sub-statuses (motor claims with both OD and TP components, or life claims with investigation underway), the agent reads each component separately and flags which sub-status is on the critical path to settlement. Policyholders with multiple active claims are given an option to hear all claims or select by CRN.

The root cause of high inbound status call volume is information asymmetry — policyholders don't know when something has happened in their claim. They call not because they're impatient, but because they genuinely don't know what stage their claim is at or what they need to do next. The fix is proactive outreach at every status change, not faster answering of reactive calls.

The Kallix AI proactive claims status system fires an outbound call at seven standard milestones: (1) FNOL confirmation call (Day 0 — confirms CRN and next action); (2) surveyor appointment confirmed (24–48 hours post-FNOL for motor/property); (3) surveyor inspection completed (same day as survey); (4) document set complete (all checklist items received and acknowledged); (5) TPA pre-authorisation approved for health cashless; (6) claim assessment completed and settlement quantum determined; (7) payment initiated (NEFT/RTGS reference number provided).

Each call is 45–90 seconds: identifies the milestone reached, states the next action and expected timeline, and offers transfer to a human agent if the policyholder has questions. The SMS/WhatsApp follow-up after each call serves as a written record the policyholder can refer back to.

For claims with complications (document rejected, surveyor report disputed, TPA pre-auth declined), the proactive call advises the specific issue and the action required. This is the most high-value use of proactive outreach — a policyholder who receives a call saying 'your discharge summary has a date discrepancy — please resubmit with correction from hospital records' resolves the issue 3–5 days faster than one who discovers the rejection only when calling the status line.

Motor claims are the highest-volume claim type in India (2.3 crore annually per IRDAI) and follow a predictable milestone sequence that maps cleanly to AI-driven proactive tracking. The challenge is the variety of outcomes that diverge from the standard path: total loss vs repair, cashless vs reimbursement, FIR complications for third-party, and supplementary survey for hidden damage discovered during repair.

For cashless repair claims, the flow is: FNOL → spot survey → garage authorisation → repair commencement → supplementary survey (if needed for hidden damage) → final repair completion → garage invoice settlement by insurer. The AI sends a proactive update at each stage and monitors the estimated repair completion date from the cashless garage. If the garage reports a delay (parts availability, extended repair estimate), the AI notifies the policyholder with the revised timeline.

For total loss claims, the flow diverges after spot survey: total loss confirmation → RC transfer in insurer's name (or hypothecation cancellation if under finance) → salvage value determination → settlement quantum = IDV minus salvage and depreciation → NEFT settlement to policyholder. RC transfer is the most common bottleneck in total loss — the AI proactively follows up on RC status with the policyholder every 7 days.

For third-party claims, the Tribunal timeline is typically 6–18 months (Motor Accident Claims Tribunal — MACT proceedings). The AI advises policyholders at FNOL that TP settlement is contingent on MACT proceedings and maintains a separate status track for TP vs OD components.

Supplementary survey — required when a repairer discovers damage not visible at spot inspection — triggers an additional delay of 3–5 working days. The AI identifies this from the CMS, notifies the policyholder immediately, and confirms the revised repair completion estimate.

Health insurance claims have the most complex status landscape of any insurance line — the interaction between insurer, TPA, network hospital, and policyholder creates multiple parallel status tracks that can each stall independently.

For cashless claims, the AI monitors: (1) pre-auth submitted to TPA, (2) pre-auth approved (with authorised amount), (3) discharge request submitted (required 24–48 hours before expected discharge), (4) discharge clearance received, (5) final bill settled by TPA to hospital. Each step has a defined timeline per the network hospital agreement, and the AI flags any step that is delayed beyond the agreed SLA.

For reimbursement claims, the AI tracks the document verification queue. When the insurer's CMS flags a document as 'under review', 'deficient', or 'rejected', the AI reads the sub-status with the specific reason. 'Claim on hold — original pharmacy bill for 15th March not received' is infinitely more actionable than a generic 'pending documents' message.

For health claims that involve multiple hospitalisation episodes (e.g., a cancer treatment with multiple chemotherapy admissions, each as a separate claim), the AI manages the family floater balance tracking — how much of the sum insured has been utilised, how much remains, and which family member's benefit sub-limit applies.

For maternity claims, the 9-month waiting period, sub-limit (Rs 50,000–1,00,000 standard), and normal vs caesarean differentiation are tracked and confirmed at status inquiry — preventing surprise rejections at settlement due to waiting period non-completion.

Life insurance death claims require a fundamentally different CX approach than motor or health. The claimant is a bereaved nominee — often inexperienced with financial processes, potentially unfamiliar with the policy structure, and under significant emotional and financial stress. The AI's empathy protocol for life claim status calls includes: a slower speaking pace, explicit acknowledgement of the loss at the start of each call ('I understand you are following up on the claim registered on behalf of [insured name]'), and a lower threshold for human transfer.

The status milestones for a life claim are: (1) FNOL registered and documents checklist dispatched, (2) documents partially received (each document acknowledged individually), (3) document set complete, (4) claim admitted or investigation triggered, (5) if investigation: investigation commenced, (6) investigation completed, (7) claim assessment finalised, (8) payment processed to nominee's NEFT account.

For early claims (death within 3 years of issuance), the investigation timeline under IRDAI Life regulations is 45 days from last document submission. The AI monitors the investigation milestone internally — if the investigation is at Day 35 with no completion, an escalation alert is sent to the claims team. This prevents the insurer from breaching the 45-day window, which attracts penalty interest and IGMS scrutiny.

For group life claims (employer-provided term insurance), the AI handles the additional complexity of HR documentation — the insurer requires the employer's certificate of employment and salary. The HR point of contact is captured at FNOL and proactively followed up by the AI if the certificate is pending at Day 7.

For unit-linked life policies, the death benefit is fund value at NAV as of the death date — the AI confirms the NAV date, fund value, and NEFT settlement timeline.

Property claims — fire, flood, earthquake, burglary, and accidental structural damage — have longer settlement timelines than motor claims due to: complex damage quantification (requiring licensed surveyors, specialised engineers for structural damage), documentation requirements (construction cost records, interior valuation, stock inventory for commercial property), and reinstatement vs indemnity settlement debates.

The AI tracks property claim status via CMS integration with weekly proactive outbound calls to the policyholder — property claims are longer cycle (45–120 days for complex cases) and weekly contact prevents relationship erosion during the wait.

For large property claims (fire total loss above Rs 10 lakh, commercial property, industrial fire), the independent surveyor produces an interim report within 15–20 working days — this contains the preliminary damage assessment and recommended claim quantum. The AI advises the policyholder when the interim report is available and summarises the key findings: 'The surveyor has assessed structural damage at Rs 12.4 lakh and movable asset loss at Rs 3.8 lakh, totalling Rs 16.2 lakh against your sum insured of Rs 20 lakh. A formal settlement offer will follow within 10 working days.'

For claims where the policyholder contests the surveyor's assessment (common for reinstatement value disputes), the AI advises the process: the policyholder can appoint an independent surveyor at their own cost, the insurer's surveyor and the policyholder's surveyor produce individual reports, and if the differential exceeds 10%, a mutually agreed umpire surveyor is appointed. The AI tracks each stage of this process separately.

For home loan-linked properties, the lender (bank/NBFC) is a co-insured party. The AI confirms whether the settlement cheque requires the lender's co-signature or whether NEFT is directly to the policyholder — resolving a common source of post-settlement confusion.

IRDAI's Protection of Policyholders' Interests Regulations 2017 mandates claim settlement within defined timelines — motor within 30 days of survey report, health within 30 days of last document, life within 30 days (non-investigated) or 45 days (investigated) from last document, property within 30 days of final survey. Breach of these timelines makes the insurer liable for penal interest at 2% above bank rate, computable from the date of intimation (not the deadline date) — making early breaches more expensive than later ones.

The AI's IRDAI monitoring module maintains a real-time countdown for every active claim in the CMS. Each claim has a calculated deadline date, computed from the regulatory start-date (FNOL for life, last-document for health, survey report for motor). The monitoring logic accounts for outstanding items that pause the IRDAI clock: 'clock paused' events include policyholder document deficiencies (clock pauses when deficiency notice is issued and restarts when corrected documents are received), but not internal delays (surveyor delay, TPA queue delay, assessment team backlog — these do not pause the clock).

At 5 days before deadline: an automated alert to the assigned claims handler and their team manager, listing the claim, the deadline date, current status, and the bottleneck action that needs to complete. At 1 day before deadline: senior management escalation (VP Claims / Head of Claims) with the accruing penalty interest amount. Post-breach: daily penalty accrual reported in the weekly claims operations dashboard.

For claims where the deadline has already been breached before Kallix deployment (legacy claims migration), the AI calculates backdated penalty from the IRDAI-mandated start date and includes this in the historical claims audit report.

TPA pre-authorisation status is a high-anxiety touchpoint for policyholders in hospital — waiting for pre-auth approval while the hospital billing desk asks for payment deposits is a stressful, time-sensitive situation. The AI's real-time TPA tracking addresses this by eliminating information gaps.

Major TPA APIs (Medi Assist, MDIndia, Paramount, Vipul Medcorp) support real-time status queries. The AI queries the TPA API every 30 minutes for pending pre-auth requests, and triggers a proactive outbound call to the policyholder's registered mobile as soon as pre-auth status changes. 'Your pre-authorisation request has been approved for Rs 1,40,000. Please show the approval reference [XXXX] to the hospital TPA desk. The approval is valid until 25th May.'

For declined pre-auths — the most distressing outcome — the AI reads the decline reason verbatim from the TPA response: procedure not covered under the base policy, sub-limit exhausted, exclusion period active, clinical documentation insufficient. Each decline reason maps to a specific response: non-covered procedure → reimbursement track advised; sub-limit exhausted → remaining balance confirmed, reimbursement for excess; exclusion period → policy purchase date vs exclusion end date stated; clinical documentation → specific missing document listed with appeal submission guidance.

Pre-auth query (TPA requests additional clinical information before deciding) is a status that many policyholders don't understand. The AI explains: 'The TPA has approved provisional coverage and is requesting the treating doctor's notes and pathology report from 10th May before issuing final approval. Please ask the doctor to submit these to the TPA desk within 4 hours.' This explicit instruction reduces query-to-resolution time from 24+ hours to 4–6 hours.

For critical illness or high-value procedures (cardiac surgery, organ transplant, cancer treatment), pre-auth approval can take up to 4 hours. The AI places a proactive call every 2 hours with a status update, reducing policyholder anxiety without requiring them to call in.

Claim repudiation — outright rejection of a claim — is the highest-friction outcome in insurance CX. Repudiation letters in India are frequently written in legal language that policyholders struggle to interpret, generating confusion, distress, and immediate IGMS complaints. The AI's repudiation communication protocol transforms this from a liability into a managed resolution process.

When a repudiation decision is recorded in the CMS, the AI makes an outbound call within 4 hours (not waiting for the policyholder to call in after receiving the letter). The call: acknowledges the outcome with empathy, reads the repudiation reason in plain language ('Your claim has been declined because the diagnosed condition — diabetes — was not disclosed in your policy proposal form dated 12th January 2023. Under Section 45 of the Insurance Act 1938, the insurer may repudiate within 3 years of issuance for non-disclosure of material facts.'), and immediately outlines options.

Options presented: (1) Internal appeal — written representation to the Grievance Redressal Officer (GRO) within 15 days, to the same address as claims correspondence; (2) IRDAI IGMS complaint (Bima Bharosa) if internal appeal fails within 30 days; (3) Insurance Ombudsman (claim amounts up to Rs 30 lakh, free of charge, decision within 90 days); (4) Consumer Forum or Civil Court for amounts exceeding Ombudsman jurisdiction.

For life insurance repudiations within 3 years (Section 45 Insurance Act cases), the AI advises that the insurer must prove fraudulent intent — mere non-disclosure is not sufficient for repudiation after 3 years. This specific legal nuance is captured in the call and included in the SMS follow-up.

For health claims repudiated for non-disclosure of pre-existing disease (PED), the AI checks the PED waiting period against the admission date — if the waiting period has expired (typically 2–4 years), repudiation on PED grounds may not be valid, and the AI flags this for internal review before the repudiation letter is sent.

Settlement payment is the final milestone in the claims lifecycle — yet NEFT failures affect approximately 4–8% of insurance settlement payments due to account changes, bank account closures, and KYC-inactive accounts. Manual NEFT failure resolution is slow and often requires the policyholder to visit the insurer's branch, creating unnecessary friction at the very end of what should be a positive closure experience.

The AI's payment tracking integration reads NEFT payment status from the insurer's treasury or payment gateway — typically HDFC Bank, ICICI Bank, or SBI's RTGS/NEFT processing platform. When a payment is initiated, the AI sends a proactive outbound call and a WhatsApp notification with the UTR (Unique Transaction Reference) number — the policyholder can track the NEFT independently with this.

For NEFT returns, the bank return codes map to specific corrective actions. Return Code N01 (Invalid Account Number): policyholder to provide correct account number. Return Code N02 (Account Closed): new active account details required. Return Code N08 (Dormant Account): policyholder must activate with their bank. Return Code N09 (Beneficiary Deceased): for life claims, legal heir must provide court-order/succession certificate for new account. The AI reads the specific reason and the corrective action, and triggers a document collection workflow for the corrected account details.

For high-value settlements above Rs 2 lakh, some insurers issue account-payee cheques or demand drafts — the AI advises the dispatch date, courier tracking number, and expected delivery date. For NRI claimants (life insurance nominees abroad), NEFT to NRE account requires FEMA compliance documentation — the AI advises the specific requirements upfront.

The channel hierarchy for insurance claims status communication is different from most financial services contexts. Insurance claim moments are high-stakes — policyholders in hospital awaiting pre-auth approval, or a bereaved nominee awaiting life claim settlement, do not check email. Voice is the dominant channel for actionable, time-sensitive milestones; digital channels serve as records and fallbacks.

Kallix's claims status channel strategy is orchestrated by milestone type. Tier 1 milestones (requiring policyholder action or high emotional stakes): outbound voice call first, WhatsApp summary simultaneously, SMS if voice unanswered after 2 attempts. Tier 2 milestones (informational updates, no action required): WhatsApp primary, SMS fallback, voice follow-up only if WhatsApp is unread after 24 hours. Tier 3 communications (weekly status summaries for long-cycle claims like property): email + WhatsApp, voice only if no acknowledgement within 48 hours.

For TPA pre-auth outcomes (Tier 1), voice is non-negotiable — the policyholder needs to communicate the outcome to the hospital billing desk immediately. The AI reads the result and the next action in 45 seconds, then sends the WhatsApp confirmation simultaneously so the policyholder has a written reference.

For document pending reminders (Tier 1 after Day 7), voice achieves 3.2x higher submission rate than digital-only reminders — a finding consistent across five insurance production deployments. The specific document named in the voice call drives immediate action; generic 'documents pending' messages in SMS generate confusion.

For long-cycle property claims, the weekly WhatsApp status update has a 74% read rate — higher than SMS (42%) and significantly higher than email (22%). The WhatsApp update includes a progress indicator (claim stage out of total stages), which reduces 'where is my claim' calls by 45–60% for property claim policyholders.

Insurance CMS integration is the technical foundation of all AI-driven claims status tracking. The depth of integration determines what status granularity the AI can deliver — shallow integrations provide only broad stage updates; deep API integrations provide document-level sub-status, surveyor assignment details, TPA query specifics, and payment UTR numbers.

For Majesco SaaS (P&C and Life editions), the integration uses Majesco's Claims REST API — available in Majesco Policy365 and ClaimVantage modules. The API provides real-time access to claim stage, document queue, surveyor details, and payment records. Status polling frequency is configurable — Kallix sets 5-minute polling for active claims and 30-minute for settled claims in post-settlement follow-up mode.

For DuckCreek On-Demand (predominantly international carriers but growing in India): DuckCreek's Claims API uses OData protocol. Kallix's integration layer translates DuckCreek claim stages (internal codes) to policyholder-readable milestones via a configurable stage mapping table — allowing insurers to customise the status language delivered to policyholders.

For legacy on-premise systems (TCS BaNCS Insurance, proprietary CMS built on Oracle Siebel or custom Java): Kallix deploys an on-premise middleware agent that exposes a lightweight REST endpoint from the legacy system. This agent reads claim data from the legacy database (with read-only permissions) and exposes it to the Kallix cloud platform via an encrypted tunnel. This approach is used for 35–40% of India market deployments where the CMS lacks a native API.

For SFTP batch integration (simplest option for insurers with limited IT capacity): the insurer exports a daily claim extract at 6 AM and 6 PM; Kallix ingests and maps the data, delivering status updates that are current as of the last extract. This serves insurers where real-time integration is not feasible within the deployment budget.

Supplementary and reopened claims are a significant source of confusion and frustration. Policyholders who have received a settlement cheque but discover additional costs — a garage finds additional hidden mechanical damage after the agreed repair, or a property claimant discovers roof damage missed in the initial survey — need a clear path to additional coverage without having to restart the entire claim process.

The AI's supplementary claim workflow is linked to the original CRN. When a policyholder calls referencing a settled claim, the agent identifies this from the CMS, reads the settlement details (settled amount, date, sum insured utilised), and checks the remaining balance. If the sum insured is not exhausted and the 90-day reopening window is open, the agent proceeds with supplementary claim intake.

For motor supplementary claims (additional damage found during repair), the AI captures: the original CRN, the repair workshop, the new damage description, and the estimated additional repair cost. The supplementary survey is authorised if the additional cost exceeds the insurer's threshold (typically Rs 5,000). For amounts below the threshold, the supplementary claim may be settled on receipt of revised repair invoice from the cashless garage.

For property supplementary claims (roof damage, hidden structural damage found during repair), a supplementary survey appointment is scheduled. If the property claim was for a total loss event (fire destroying the structure), a supplementary claim for contents missed in the original survey is handled with a specific contents survey protocol.

For health claims, supplementary intimation is required if the hospitalisation extends beyond the originally intimated discharge date — each extension requires a fresh pre-auth with updated expected discharge. The AI monitors hospitalisation duration and proactively initiates pre-auth extension 24 hours before the expiry of the current pre-auth.

Group health insurance is the most common employee benefit in Indian corporate organisations — an estimated 5.2 crore employees are covered under employer-provided group health policies. The claims process for group health differs from individual retail health in one critical way: the insurer's data source for member eligibility is the employer's HR system, not a standalone policy database.

When an employee calls for claim status, the AI verifies: employee ID or staff number (issued by employer), registered mobile (matched against employer data dump), and company name. This three-factor verification is necessary because group health policyholders frequently don't know their individual policy number (the master policy is held by the employer).

For active employment verification — required before TPA pre-auth — the AI queries the employer's HR portal via API (SAP SuccessFactors, Darwinbox, Keka, or a custom HR system) to confirm current employment status, grade, and applicable coverage tier. If the employee is on a leave of absence, the AI confirms whether leave type (medical leave, sabbatical, unpaid leave) affects claim eligibility under the group policy terms.

For terminated employees, the AI advises the standard grace period (typically 30 days post-termination for claims arising during the employment period) and the COBRA-equivalent portability option (individual conversion policy without fresh medical underwriting — per IRDAI group insurance guidelines).

For HR administrators managing multiple employees' claims simultaneously, the AI provides a bulk status inquiry option: 'To hear the claim status for an employee, say their employee ID.' This allows HR to check 5–10 employee claim statuses in a single call, replacing the need for individual status calls or HR portal logins.

Critical Illness claim status management requires sensitivity that is absent from vehicle or property claims — the claimant has received a serious diagnosis and is managing both health and financial stress simultaneously. The AI call cadence is calibrated accordingly: professional, empathetic, and information-complete.

Kallix's CI claim status workflow covers three milestone calls: (1) Document receipt confirmation within 24 hours of submission — 'We have received your discharge summary, oncologist report, and histopathology report. Your claim is now under medical review.' (2) Medical panel review status at Day 7 — 'Your documents are with our medical examiner panel. We expect the review to complete by [date]. I will call you as soon as the review result is available.' (3) Settlement notification — 'Your CI claim of Rs [X] has been approved. The amount will be credited to your account [XXXX] within [N] banking days.'

CI claim-specific complexity: some policies have a survival period clause (the claimant must survive 30 days post-diagnosis to receive the payout). The AI explains this at the first status call if the claim is submitted within the survival period window — not to cause anxiety, but to confirm what the insurer requires and when the payment will be processed.

For CI claims involving policy loans: if the policyholder had taken a loan against the policy, the outstanding loan + interest is deducted from the CI payout before disbursement. Kallix AI confirms this deduction upfront — 'Your outstanding policy loan of Rs [Y] + interest of Rs [Z] will be adjusted from the CI payout. Your net disbursement will be Rs [A].'

Failed payment tracking: CI payouts are typically large (Rs 10–50 lakh) — failed NEFT transfers due to incorrect account details are caught by the AI within 4 hours of the failed transfer, and the policyholder is immediately contacted to provide corrected bank details.

Document deficiency management is where most insurance claims operations underperform. The insurer issues a generic deficiency notice by post (7–10 days to reach the claimant), the claimant does not know which specific document is missing, they submit something wrong, another notice goes out — and the 30-day settlement clock has not even started yet.

Kallix's deficiency management converts this into a real-time conversation: within 2 hours of a document gap being identified by the claims assessor, the AI makes a proactive outbound call: 'Your claim [CRN] for Rs [X] is pending one document: [specific document name]. I am sending you the upload link on WhatsApp right now. Once we receive this, we can complete your claim assessment within [N] working days.'

Specificity matters: 'Please submit your discharge summary from the hospital — specifically the typed discharge summary (not the handwritten notes), signed by the treating physician, which shows diagnosis, treatment dates, and the discharge date.' This level of specificity prevents the most common re-submission error: submitting the wrong type of document because the deficiency notice said only 'medical records.'

For claimants who are elderly, in remote areas, or unfamiliar with digital uploads: Kallix AI offers an alternative pathway — 'If uploading is difficult, you can courier the original document to [branch address]. I can also arrange for a branch representative to collect it from your location if you are in a city we serve. Alternatively, your original documents can be reviewed at the nearest branch and returned to you.'

Claims stuck in document-pending status for 30+ days are a regulatory risk (IRDAI can classify these as delayed claims if the deficiency notice was not properly served). Kallix's AI tracks the deficiency notice date and the response date, maintaining a compliant audit trail for every open deficiency.

Cashless denial at hospital admission is one of the most stressful insurance events a policyholder experiences — they are at a hospital, possibly in pain or managing a family emergency, and are told their insurance is not accepted. The insurer's response speed and clarity in the next 30 minutes determines whether this becomes an IGMS complaint or a resolved service event.

Kallix's cashless denial response protocol is triggered immediately on the TPA/insurer denial notification: the AI calls the policyholder within 30 minutes with the specific denial reason in plain language. The three most common denial reasons and Kallix's AI response:

(1) Policy waiting period: 'Your policy covers this treatment — but the waiting period for [condition] ends on [date], which is [N] days away. We can file a reconsideration request if you can obtain a certificate from your doctor stating this is an emergency and the treatment cannot be delayed.' Reconsideration approval for waiting period override: 28–36% in genuine emergencies.

(2) Sum insured exhausted: 'Your annual sum insured of Rs [X] has been fully used by earlier claims this policy year. You are entitled to seek treatment on reimbursement — the insurer will not pay, but your top-up policy (if any) may cover the excess. Shall I check if you have a super top-up?' This check has resolved 18–24% of sum-insured exhaustion situations.

(3) Non-disclosure / claim exclusion: 'The treatment has been flagged as related to a pre-existing condition that was not declared at policy issuance — the TPA has denied cashless on this basis. You can submit additional documentation to clarify that this is not a pre-existing condition. I can guide you on what to collect.' This pathway avoids outright claim repudiation in cases where the denial was based on incomplete information.

Emergency reimbursement pathway: even when cashless is denied, the policy remains valid for reimbursement. The AI confirms this immediately: 'You can proceed with treatment and claim reimbursement — please collect all original bills and discharge documents. I will guide you through the submission process once you are discharged.'

Nominee claim status management is arguably the most consequential use case in insurance servicing — the family is in mourning and is attempting to navigate an administrative process during the most difficult period of their lives. The standard insurer call centre experience for nominee claims (hold times, transferred between departments, inconsistent information) is a significant source of insurance industry reputational damage.

Kallix's nominee support protocol begins at claim registration: the AI confirms the nominee's relationship to the deceased, explains the claim process in full upfront — 'I will be your single point of contact for this claim. I will call you every 5 working days with a status update, and you can reach me on this number at any time.' This single-POC framing significantly reduces anxiety and the impulse to make repeated inquiry calls.

Document clarity for nominees: life insurance claim documents include the death certificate, nominee ID proof, policy document, claimant statement, attending physician's certificate (for natural death claims), FIR and post-mortem report (for accidental death), and bank account details. The AI provides this list with explanations of why each is needed — nominees who understand the purpose of each document submit faster and with fewer errors.

Succession certificate advisory: if the nominee is not registered or has pre-deceased the life assured, the legal heirs must obtain a succession certificate from the civil court to claim. This is a 2–4 month process. Kallix AI identifies this situation at registration and advises immediately — preventing the family from waiting weeks only to be told they need a succession certificate.

Minor nominee (child beneficiary): if the nominee is a minor, the life insurance proceeds are held in trust by the insurer or a court-appointed guardian. The AI explains the process for accessing funds when the minor turns 18, and provides the application process for an interim guardian appointment if required.

Travel insurance claims are time-compressed: the policyholder wants resolution quickly because the financial outlay (medical treatment abroad, emergency hotel costs, replacement luggage) is recent and cash-flow-impacting. The AI status update cadence is accelerated compared to annual policy claims.

For overseas medical emergency claims: Kallix coordinates with the insurer's assistance company (CEGA, Coris, GMMI) to track cashless hospitalisation billing status in real time. If cashless is denied by the overseas hospital, the AI immediately pivots to reimbursement mode — confirming which documents to collect before discharge (original bills, medical reports in English, payment receipts) and the submission deadline (typically 30 days from return to India).

Flight delay claims (typically Rs 2,000–5,000 per qualifying delay): the AI confirms the qualifying delay duration (typically 6 or 12 hours depending on the policy), requests the airline's written delay certificate (available from the airline's customer service desk or online), and confirms the claim timeline. Most delay claims are document-and-pay — no surveyor required. Settlement: 5–7 working days from document submission.

Baggage loss claims: the AI tracks the airline's PIR (Property Irregularity Report) number, confirms whether the luggage was declared lost by the airline (typically after 21 days), and files the claim with the insurer once the airline confirms the bag is unrecovered. The AI collects the list of lost items with approximate value for the claim form and confirms the policy's per-item limit and total baggage limit.

Multi-event trip claims: a single trip can generate medical, delay, and baggage claims simultaneously. Kallix AI consolidates all three under a single claim reference and provides a unified status — rather than requiring the policyholder to track three separate claim numbers.

Fraud investigation status management requires the AI to balance two competing obligations: the policyholder has a right to know their claim status, but the insurer's SIU process must not be compromised by premature disclosure. Kallix's fraud investigation status protocol handles this with a scripted holding response that is IRDAI-compliant and honest without being revealing.

The standard holding response for fraud-investigation claims: 'Your claim is undergoing an additional review as part of our standard verification process. We are required by IRDAI to acknowledge your claim within 30 days of receipt and communicate a decision within 90 days. Your claim is within the required timeline. I will update you on [next contact date].' This response does not confirm or deny a fraud investigation — it accurately states the regulatory timeline.

For claims where the investigation has been completed and the claim is being approved (investigation found no fraud): the AI resumes normal settlement status communication and accelerates the settlement process, acknowledging the delay: 'The verification process for your claim is now complete. Your claim has been approved — settlement of Rs [X] will be processed within [N] working days. We apologise for the additional time taken.'

For claims where investigation leads to repudiation: the AI routes to the GRO escalation process — 'Your claim has been declined following the verification review. You have the right to appeal this decision within 15 days with supporting documentation. I can assist you with the appeal process.' The AI provides the IGMS appeal pathway without prejudging the legitimacy of the repudiation.

Anti-fraud AI and false positives: approximately 12–18% of SIU-referred claims are ultimately approved — the investigation reveals no fraud. Kallix's AI monitors SIU cycle time and escalates internal delays beyond IRDAI's 90-day limit to the claims head.

Life insurance maturity payouts are supposed to be joyful events — the policyholder receives the maturity amount after 15–25 years of premium payments. Yet industry data shows that 25–38% of maturity payouts are delayed by 15–45 days due to: outdated bank details (account closed, migrated), missing or expired KYC, and TDS certificate issues under Section 194DA.

Kallix's Day 60 maturity pre-processing call covers: (1) Bank account confirmation: 'Your maturity amount of Rs [X] will be credited to your account ending [XXXX]. Is this still your active account?' Account changes are processed as an endorsement immediately. (2) KYC status: Aadhaar-PAN link confirmed; if expired or missing, the AI dispatches a re-KYC link via WhatsApp. (3) TDS advisory: 'If your maturity proceeds exceed Rs 1 lakh and your policy is not tax-exempt under Section 10(10D), TDS of 5% will be deducted under Section 194DA. Would you like the TDS certificate details for your CA?' This advisory prevents post-payout tax confusion.

For money-back survival benefits (intermediate payouts at specific policy years): Kallix triggers the same pre-processing call 30 days before each scheduled survival benefit — bank confirmation + KYC + amount confirmation. Most money-back policyholders are surprised by intermediate payouts because they received no advance notification — the Kallix pre-call converts this into a positive service moment.

Nominee pre-maturity: for policyholders who have passed away before maturity, the maturity amount is payable to the nominee as a death benefit (typically the higher of sum assured or fund value). The AI identifies this situation when the policy anniversary call is not answered and routes to the nominee outreach protocol.

NRI claimants are among the most underserved insurance claimants in India — they cannot physically visit branches, their calls to the insurer's toll-free number may not work from overseas, and the time zone difference means they often have to follow up at inconvenient hours. Kallix AI converts the NRI claim experience from reactive to proactive.

Kallix's NRI claim protocol uses WhatsApp as the primary status channel — not voice calls. All milestone updates are sent as WhatsApp messages at India business hours (which the NRI can read at their convenience in their local time zone). For urgent decisions (surgical authorisation, hospital billing dispute), the AI sends a WhatsApp notification and books a scheduled call in the NRI's time zone.

Document submission for NRI claimants: medical documents from overseas hospitals (for travel insurance or NRI health policy holders) may be in foreign languages. Kallix confirms which documents require certified English translation and which are accepted as-is. Self-notarised documents with an apostille are accepted by most Indian insurers for overseas-issued documents — the AI explains the apostille process and the notarisation requirements.

FEMA and settlement disbursement: life insurance death benefit proceeds to NRI nominees are remittable under FEMA for the life of the policyholder in India — no prior RBI approval required for amounts below the LRS threshold. Health insurance reimbursements for treatment in India are payable to the NRI's NRO account. For treatment abroad (travel insurance): settlement is typically in INR to the NRO account, then converted by the NRI's bank.

Overseas death claim coordination: for NRI life assured who passes away overseas, the overseas death certificate must be apostilled and translated, and probate may be required for estate settlement. Kallix AI provides the step-by-step checklist and connects the nominee to the insurer's NRI desk.

Partial approvals arise from three sources: (1) non-payable items under policy exclusions (consumables, registration charges, attendant charges — excluded under standard IRDAI packaged products); (2) room rent deduction application (proportionate deduction on all charges if the policyholder chose a room above the sub-limit); and (3) procedure cost limit application (day-care procedures or specific surgeries have per-procedure limits). The AI explains the specific reason for each disallowance.

For non-payable item disallowances: the AI confirms whether the disallowed items are excluded under IRDAI's standard exclusion list or under policy-specific exclusions. If a non-payable item was charged by the hospital despite the IRDAI guidance that hospitals should not pass non-payables to insured patients, the AI flags this for consumer protection escalation: 'The hospital should not have charged Rs [X] for [item] — this is a non-payable charge under IRDAI guidelines. I can raise a complaint with the hospital on your behalf.'

Room rent proportionate deduction disputes: if the policyholder chose a higher-category room and a proportionate deduction was applied to all other charges, the AI quantifies the impact: 'You chose a Rs 6,000/day room against a Rs 3,000/day policy limit — a 50% deduction has been applied to all associated charges, resulting in a disallowance of Rs [X].' For first-time policyholders, this explanation often surfaces the add-on opportunity: 'For Rs [Y] additional annual premium, you can upgrade your room rent limit to eliminate this deduction in future claims.'

Reconsideration request: the AI helps the policyholder prepare a reconsideration request — identifying which disallowances have a plausible reversal argument (medical necessity documentation for procedures questioned as elective) and which are standard exclusions unlikely to be reversed (cosmetic procedure charges, birth control). This triage prevents frustration from pursuing unwinnable reconsiderations.

PMFBY claim settlement is a multi-step process involving the state government, the insurer, the central government, and the bank — and the farmer has no visibility into any of these steps. Most PMFBY-eligible farmers discover their payout only when they see an unexpected credit in their bank account — or worse, when they ask at the bank branch why others received a payout and they did not.

Kallix's PMFBY status workflow starts at the trigger event level: when a state government notifies a district or taluka as a loss-affected area (post-harvest loss assessment, mid-season adversity, or prevented sowing), Kallix AI makes an outbound call to all enrolled farmers in that area within 48 hours: 'Namaste, your district [name] has been notified under PMFBY for the [kharif/rabi] [year] season due to [drought/excessive rainfall/hailstorm]. You may be eligible for a crop loss payout. I will update you on the exact amount and payment date as soon as the state confirms the payout.'

For individual notification claims (localized damage reported by the farmer — hailstorm affecting their specific plot, not the entire district): the AI guides the farmer through the 72-hour intimation requirement, the joint survey process, and the photograph documentation. Unlike district-level PMFBY, individual notification claims require the farmer to initiate contact within 72 hours of the damage event.

Bank account verification for DBT: PMFBY payouts are made via Direct Benefit Transfer to the farmer's Aadhaar-linked bank account. Kallix AI confirms whether the farmer's bank account is correctly Aadhaar-linked (a common DBT failure point) and raises a correction request through the local bank branch if there is a mismatch.

State government payout delay: PMFBY payouts from state governments are frequently delayed beyond the scheme's mandated 60-day timeline. Kallix AI provides the farmer with the expected timeline and escalation pathway: 'If your payout has not arrived within 60 days of the trigger notification, you can raise a grievance on the PMFBY portal or with the District Agriculture Officer.'

Cyber insurance claims are time-critical in a way that no other insurance claim is: the longer the delay between the fraud event and reporting, the lower the probability of fund recovery. Every hour matters in the first 24 hours — banks can freeze fraudulent transfer destinations if notified immediately; cyber police can issue holds on wallets and accounts; insurers can engage forensics while evidence is fresh.

Kallix's cyber FNOL and status protocol: on the initial FNOL call, the AI simultaneously initiates three parallel actions: (1) bank fraud complaint — confirms the policyholder has called their bank's fraud helpline and obtained a complaint reference number; (2) cybercrime portal filing — sends the National Cyber Crime Reporting Portal link (cybercrime.gov.in) for immediate online complaint; (3) insurer notification — files the cyber claim with the insurer's cyber claims desk, including the bank complaint number and cybercrime portal complaint number.

Forensics engagement: within 24 hours of claim registration, the insurer's cyber forensics partner (typically tied to a cybersecurity firm) receives the claim details. The AI provides the policyholder with the forensics team's contact number and explains what they need from the policyholder: transaction records, communication logs, screenshots of phishing messages, and malware details (if applicable).

Coverage clarification: cyber insurance products vary significantly in scope. Common sub-limits include: online transaction fraud (Rs 1–5 lakh), identity theft restoration costs, ransom payment cover (limited), legal costs for privacy breach liability. The AI confirms which sub-limits apply to the specific incident type at the first status call — preventing the policyholder from expecting full IDV on a subcovered loss category.

Status cadence for cyber claims: daily for the first 7 days (active recovery period), then every 3 days until settlement. Most cyber fraud claims close (with payment or denial) within 30–45 days.

PA disability claims are the most administratively complex category within Personal Accident insurance — because the extent of disability must be assessed by an independent medical examiner, and the assessment may be disputed by the claimant if they believe the disability is more severe than assessed.

Kallix's PA status protocol begins at FNOL: the AI confirms whether the claim is a death claim or a disability claim, and — for disability — whether it is temporary total disability (TTD), permanent total disability (PTD), or permanent partial disability (PPD). Each has a different settlement amount and evidence requirement.

For TTD (temporary full disability — unable to work for a defined period): the AI explains the daily benefit structure if the policy includes TTD benefit: 'Your policy pays Rs [X]/day for up to [N] days while you are unable to work due to this injury. The hospital certificate confirming your incapacity period is the key document needed.' TTD benefits typically max out at 100 weeks.

For PTD/PPD: the insurer appoints an independent medical examiner to assess the disability percentage. Kallix AI coordinates this appointment within 14 days of claim registration, provides the medical examiner's name and contact, and explains the disability table: 'Loss of both hands = 100% payout; loss of one hand = 50%; loss of thumb = 25%.' This transparency prevents post-assessment disputes caused by unexpected percentages.

Disputed disability assessment: if the claimant believes their disability was under-assessed, Kallix AI provides the reconsideration pathway — second medical opinion at the claimant's own doctor, supported by specialist reports, submitted to the insurer's technical review committee. Second-opinion requests that include specialist support have a 32–44% upward revision rate.

MACT claim status management is a long-duration case-tracking problem: a fatal road accident claim may involve tribunal hearings spanning 2–4 years, multiple adjournments, interim compensation payments, and a final award calculation that combines income loss, dependency, medical expenses, and non-economic damages (pain and suffering).

Kallix AI's MACT support serves the insurer's claims team (not the claimant's advocate) by maintaining a real-time calendar of hearing dates, document submission deadlines, and court order compliance timelines. India's Supreme Court mandated interim compensation of Rs 50,000 within 30 days of MACT registration — the AI flags this deadline to the insurer's MACT team on the date of claim registration.

For the third-party claimant (accident victim or family): Kallix AI provides a dedicated status line that answers: upcoming hearing date, case status (submitted, evidence stage, final arguments, award pending), and what to bring to the hearing. This service significantly reduces unnecessary visits to the tribunal by claimants who travel long distances to attend hearings.

Interim compensation tracking: the Motor Vehicles Act mandates interim compensation in fatal and serious injury cases within 30 days of MACT filing. The AI monitors this obligation for each active MACT claim and escalates to the insurer's legal team if the 30-day window is approaching without disbursement.

Solatium fund claims: for accidents caused by unidentified/uninsured vehicles, the victim can claim from the Solatium Fund under the MV Act (administered by IRDAI). The AI provides the Solatium Fund application process and the responsible insurer contact for the state where the accident occurred.

Home insurance claims are emotionally high-stakes: a fire or flood often leaves policyholders displaced and anxious about when they can repair and return to their home. The AI's status management in this context must be informative, empathetic, and accurate — false promises about timelines create more distress than honest estimates.

Kallix's home claim status protocol covers four milestones: (1) Surveyor appointment confirmation — within 72 hours of FNOL, the surveyor's name, date, and arrival window confirmed to the policyholder. For major disasters (floods affecting multiple properties), surveyor availability may be constrained — the AI proactively communicates the expected delay and the reason. (2) Survey completion — within 48 hours of the survey, the AI confirms the surveyor's preliminary assessment category (partial damage, major damage, total loss) and the document list for the claim. (3) Estimate approval — when the insurer approves the repair estimate, the AI sends the approval amount, the licensed contractor list for approved cashless repairs, and the advance payment timeline (typically 30–50% advance on approved estimate for major claims). (4) Final settlement — on completion of repair and submission of completion certificate, the balance payment timeline confirmed.

Burglary claim specificity: burglary claims require a verified inventory of stolen items (supported by invoices, photos, or valuations for jewellery). The AI provides the policyholder with a structured inventory template and confirms which categories require separate proof (jewellery must be individually valued; electronics require purchase invoices; cash theft is typically subject to a sub-limit of Rs 10,000–25,000).

Reinstating policyholder during repairs: for major fire or flood claims where the home is uninhabitable, some policies include temporary accommodation cover. The AI confirms this add-on availability and the daily limit (typically Rs 1,500–3,000/day for up to 30–60 days).

Long-term disability claims are distinctive because the claim is not a one-time event — it is a continuous benefit payment that depends on ongoing proof of disability. Most LTD claimants (who are dealing with serious health conditions) are not well-positioned to manage a bureaucratic evidence cycle, and missed deadlines result in claim suspension that adds financial stress to medical stress.

Kallix's LTD evidence cycle management: the AI maintains a per-claimant evidence calendar. For each 90-day cycle: Day -30 (30 days before evidence due date) → WhatsApp reminder with the specific evidence required (treating physician certificate, specialist report, functional assessment) and the secure upload link. Day -14 → follow-up call if evidence not yet uploaded. Day -3 → escalation call with urgency framing: 'Your LTD benefit payment for [period] requires medical evidence by [date]. Non-submission within 3 days will pause your payment.'

For claimants too ill to manage the submission themselves: the AI identifies this scenario when calls are answered by a family member or caregiver and pivots to caregiver-managed submission — 'I will coordinate directly with your family member / caregiver for evidence collection. Please have them call this number.'

Partial return to work: LTD policies typically allow partial return to work with a reduced benefit (if the claimant earns below the policy's pre-disability income threshold). The AI advises claimants on this option when they mention improving health: 'If you return to work part-time while still earning less than your pre-disability income, your LTD benefit may continue at a reduced amount. Shall I check your specific policy terms?'

Employer coordination: for employer-sponsored group LTD, the AI maintains a parallel communication track with the HR team — notifying HR of the claimant's ongoing disability status and anticipated return-to-work date for workforce planning, while maintaining individual claimant confidentiality in the appropriate manner.

The business case for AI claims status tracking is compelling at any scale — the cost per inquiry is 3–4x lower than human agents, and the NPS impact translates directly to renewal retention and cross-sell revenue.

Lever 1 — Cost per inquiry: an inbound status inquiry handled by a human agent costs Rs 280–450 (including all-in operational cost: agent salary, training, attrition, management overhead, technology, and floor space). An AI agent handles the same inquiry at Rs 80–150 (including Kallix platform cost, CMS API calls, and telco cost). At a typical mid-size general insurer with 8,000 status inquiry calls per month, monthly saving is Rs 12–24 lakh.

Lever 2 — Inbound call reduction: proactive outbound status calls at 7 milestones reduce inbound inquiry volume by 55–70%. At 8,000 monthly inbound calls, the AI handles 5,000 proactively, eliminating them as inbound calls entirely, and handles the remaining 3,000 inbound at Rs 80–150 each.

Lever 3 — NPS improvement: 18–28 point NPS improvement from proactive status communication. In insurance, 1 NPS point improvement correlates to 0.8–1.2% renewal retention improvement (insurer-specific; validated across 4 production deployments). For a mid-size insurer with Rs 400 crore renewal premium, 20-point NPS improvement = Rs 64–96 crore protected renewal revenue.

Lever 4 — IRDAI breach reduction: 60–75% fewer deadline breaches reduces penal interest exposure. At an average settlement of Rs 85,000 per motor claim and 2% above bank rate penal interest, each prevented breach saves Rs 1,200–3,500 per claim. At 500 near-breach claims per year, saving is Rs 60–175 lakh annually.

Deployment: 4–6 weeks for CMS integration, configuration, and pilot. Setup investment Rs 8–15 lakh depending on CMS complexity. Monthly platform cost scales with call volume.