Never Miss a Renewal. Never Miss a Follow-Up.
With Voice AI for Insurance
Moments That Break Traditional Insurance Call Centers
Without Voice AI Customer Support
Thousands of expiring policies need reminders at the same time, but manual outreach means missed calls and lost renewals.
Agents repeatedly call for payments, documents, and confirmations. They chase customers instead of solving real issues.
Missing KYC and claim paperwork stalls processing, creating backlogs and constant status check calls.
Accidents, storms, or health spikes flood your lines with “What’s my claim status?” calls your team can’t keep up with.
New product launches generate thousands of inquiries, but slow callbacks mean prospects go cold fast.
Proof in performance!
Real gains across retention, servicing costs, and turnaround time.
Helping Enterprises Design, Deploy, and Scale Voice AI with Measurable Business Impact.
Use Cases of Voice AI Agent for Customer Support in Insurance
- • Pre-expiry reminders
- • Premium due alert
- • Smart retries for unreachable customers
- • Payment links via SMS/Email
- • Real-time claim updates
- • Settlement notifications
- • Document requirements
- • Survey scheduling
- • Missing document reminders
- • Upload instructions
- • Auto follow-ups
- • Completion confirmations
- • Instant lead callback
- • Basic qualification
- • Appointment scheduling
- • Agent transfer for hot leads
- • Due date reminders
- • Failed payment alerts
- • Renewal notices
- • Payment confirmations
What Great Insurance Contact Centers Do Differently With Voice AI Agent
Proven Across Live Environments
Supporting 100+ Businesses in Simplifying
Customer Service with Smart Voice AI
We are able to reach out shortlisted candidates in few hours. Earlier what used to take weeks now gets done in hours. Our team is able to spend more time and better engagement with interested candidates.
Intuitive analytics and reporting on candidate level sentiments, interest and conversation summaries provides powerful insights to recruiters. It has helped us in making better decision on hiring a candidate.
In addition to Initial prescreening Rootles' support on adding other uses cases across candidate verification, profile update has been a big plus. We are able to leverage Voice as a channel to scale our candidate engagement and derieving 3 times better results than text based channels.
We have multiple technology for candidate sourcing, ATS and candidate out reach. Rootles' seamlessly intergration with our existing tools is like sugar in the milk.
Questions You Might Have for Voice AI in Insurance
First, scale: India issued 41.84 crore policies in FY25 — a policyholder base so large that human-only contact centre operations cannot absorb the service volume without unsustainable cost growth. Second, linguistic diversity: India has 22 scheduled languages, but most contact centres operate in Hindi and English only. This leaves the majority of policyholders underserved. Third, regulation: IRDAI’s Vision 2047 mandate for Insurance for All explicitly requires reaching rural, semi-literate populations for whom voice is the most accessible interface.
These three reasons make Voice AI not just a cost tool for Indian insurers but a strategic necessity.
The economics favour mid-size and regional insurers disproportionately. A large insurer with a 500-seat contact centre has the resources to absorb inefficiency; a regional health insurer or crop insurer with 40 agents does not. Every peak-season call surge — monsoon claim filings, post-cyclone FNOL spikes, quarter-end renewal campaigns — exposes the staffing gap more acutely for smaller operations.
Rootle voice AI scales elastically with call volume at no additional headcount cost. A regional insurer can run a renewal campaign for its entire 2-lakh policyholder base simultaneously. This can happen without hiring temporary agents, without batching over weeks, and without missing policyholders who are only reachable in evenings or weekends.
Rootle is a phone-based Voice AI. It operates over a standard phone call, not a chat window or mobile app. When a policyholder calls your customer care number, Rootle voice AI agent answers, listens to what they say in their own language, retrieves relevant data from your policy or claims system in real time, and responds conversationally. It handles both inbound calls (policyholders calling you) and outbound calls (your team reaching policyholders for renewals, reminders, and follow-ups).
It is not a chatbot. There is no text, no screen, no app required. It is not an IVR replacement in the sense of swapping menus for better menus. Rootle AI replaces menus entirely with open-ended conversation. And it is not a call recording tool; it is a live participant in the call, taking actions and retrieving data in real time.
No selection required. Rootle detects the caller’s preferred language automatically from the first few seconds of speech and switches into that language for the rest of the call — including mid-call if the caller code-switches between languages. A policyholder in Ahmedabad who opens in Gujarati and shifts into English to mention a product name does not confuse the system or trigger a repeat.
This matters operationally because language-selection IVR menus are themselves a drop-off point. Policyholders who don’t hear their language listed, or who can’t navigate a multi-step language menu, hang up before the call starts. Rootle eliminates this friction entirely.
Rootle guides the policyholder through the FNOL intake conversationally. It collects the date, time, and location of the accident. It also collects the nature and extent of damage; whether there is third-party involvement and the other vehicle’s number if available; and whether anyone is injured. If injury is reported, Rootle immediately reads out the nearest cashless hospital from your network database, fetched live.
By the end of the call — which typically takes three to four minutes — a structured FNOL record sits in your claims management system, timestamped and complete. The policyholder has their claim reference number and knows what to expect next. The claims handler who opens their dashboard Monday morning finds a processed queue, not a voicemail backlog.
Claim status is the single most automatable inbound query type for health insurers. The caller’s intent is specific, the data is in the TPA or claims system, and the answer requires no human judgement for the majority of cases. A voice AI that authenticates the caller, queries the system, and reads back the status — submitted, under review, approved, rejected, settled — resolves the call in under 90 seconds without any agent involvement.
McKinsey’s 2025 Insurance Ops Survey found that voice AI can resolve up to 60% of Tier-1 insurance queries autonomously. For a single-intent query type like claim status, containment is typically higher — 80–85% — because the query is structured and the data is accessible. Health insurers running 600–800 claim status calls per day see the impact immediately: agents stop spending 70% of their time on a query that requires zero judgement, and instead focus on disputed rejections, complex hospitalization reimbursements, and relationship-sensitive interactions.