AI voice agents for customer support: Resolve routine support calls without a queue.
Escalate the rest with full context.
Ishaan, AI assistant
Service support, in Hindi + English. An example call.
- IshaanNamaste, Coolbreeze Appliances support mein aapka swagat hai. Main Ishaan, ek AI assistant hoon. Aapka ticket number bata dijiye.
- CallerTicket number CB-48213 hai. AC service ke liye technician kab aayega?
- IshaanThank you. Aapka ticket open hai, aur technician kal 10 am se 12 pm ke beech aayega. Kya yeh time aapke liye theek hai?
- CallerKal main ghar par nahi hoon. Kisi se baat karwa dijiye.
- IshaanBilkul. Main aapko service team se connect kar raha hoon, aur unhe ticket ki details aur aapki request bhej di hai. Ek second line par rahiye.
How it works. From trigger to outcome in 4 steps.
- 1
A customer calls
Your support number rings and the agent answers straight away, in the caller's language, at any hour.
- 2
It finds the answer
The agent answers from your knowledge base, or gives order and ticket status from your systems through the API.
- 3
Resolved or escalated
Routine questions end resolved. If the caller is upset, the issue is sensitive or they ask for a person, the agent transfers the call to your team.
- 4
Your team sees the summary
Each call reaches your helpdesk or CRM with the transcript, outcome, sentiment and a short summary, through webhooks or the API.
What you can track. On every call.
Each call ends with an outcome, a recording and a transcript, logged against the contact and sent on to your CRM.
- Calls resolved by the agent
- Transfers to your team
- Top call reasons
- Caller sentiment
- Where calls end
- Calls by hour and weekday
Everything this call needs.
- Answers from your docs
- Build a knowledge base from your help centre, policies and FAQs. Check answers in the retrieval tester before going live.
- Order and ticket status
- Connect your order or ticket system through the API so the agent can tell callers where things stand.
- Escalation with a summary
- When the agent hands over, your team gets the reason for the call and what has been tried so far.
- FAQs with actions
- Write FAQs as trigger, response and action, such as a refund question that gets an answer and the policy on WhatsApp.
- Sentiment on every call
- Every call is tagged with sentiment, so you can spot frustrated callers and the topics behind them.
- Better every week
- Rate calls and leave feedback. Kallix suggests prompt and knowledge base changes, which you ship as a new version.
Where teams use it.
- E-commerce and D2CAI voice agents for ecommerce and D2C that confirm COD orders, rescue failed deliveries, recover carts and move buyers to prepaid, synced to your store.Industry
- Home servicesAI voice agents for home services that book jobs, confirm technician visits, renew AMCs and follow up on quotes in Hindi, English and Hinglish, 24×7.Industry
- Banking and lendingAI voice agents for banking and lending that remind borrowers before EMIs, follow up on bounces, chase KYC and qualify loan leads in Hindi and English.Industry
- InsuranceAI voice agents for insurance that renew policies on time, qualify new leads, chase proposals and keep claimants updated in Hindi, English and Hinglish.Industry
Questions, answered.
More on the FAQ page and in all AI voice agent use cases, or write to us.
Start with the routine ones: order or ticket status, timings, prices, policies and how-to questions. Set transfer rules for complaints, large refunds and anything sensitive so those go to your team. For a whole support line, see AI call center software →.
Connect your order or helpdesk system through the REST API. The agent asks for an order or ticket number, checks the status and explains it in plain words.
The caller is transferred to your team, and the call record holds the transcript, outcome, sentiment and fields such as order number and issue. Send it to Slack or your helpdesk through webhooks.
The agent stays calm and follows the response guidelines you write. If a caller is upset or asks for a person, it transfers the call to your team instead of arguing.
Write test scenarios or upload them as a file, run them against an agent version and check pass or fail for each. The retrieval tester shows what the agent will answer from your knowledge base.
Put an agent on the line.
Hear it call you today.
₹500 in free credits when you sign up. ₹4.80 a minute after that.