Policy Purchase Agent
We built an agent that matches customers to suitable plans, explains add-ons and trade-offs, walks them through documents and e-KYC, and completes payment, nudging them back if they pause.
Case Study
An insurer wanted to sell more policies, keep existing customers renewing and settle claims faster, without adding headcount to its sales, service and claims teams.
We built AI agents that guide customers from quote to policy, run personalized renewal journeys, and handle claims intake and coordination across messaging, web, email, SMS and voice, with human hand-off whenever it is needed.
The Challenge
Sales, renewals and claims each lost customers and time to manual, disconnected processes.
Prospects compared plans, started applications and then stalled at documents, KYC or payment, with no timely follow-up to bring them back.
Renewal reminders were generic and late, so policies lapsed that could have been kept with the right message at the right moment.
Claim intake, document chasing and coordination with hospitals, garages and adjusters relied on phone calls and email, stretching cycle times and frustrating customers.
The Solution
We connected AI agents to the insurer's policy, payment and claims systems so they could complete tasks for customers, not just answer questions.
We built an agent that matches customers to suitable plans, explains add-ons and trade-offs, walks them through documents and e-KYC, and completes payment, nudging them back if they pause.
Customer segments such as renewal-due and lapse-risk drive personalized reminders, payment recovery and cross-sell outreach across messaging, email, SMS and voice.
Customers report a claim in a guided conversation that captures incident details, photos and documents, checks coverage and missing information, and creates the claim automatically.
The agent guides eligibility and pre-authorization, collects medical documents, coordinates with the hospital and keeps the family updated while the customer is in care.
Policy, claims, engagement and service data come together in one customer profile, with renewal-risk and upsell signals feeding campaigns and agent routing.
Results
More quotes turn into issued policies, with fewer customers dropping off along the way.
Guided intake and automated coordination shorten claim cycles while reducing manual effort.
Timely, personalized renewal journeys keep more policies active.
Round-the-clock self-service handles routine requests, with safe hand-off to people for complex cases.
Conclusion
By putting AI agents at each step of the insurance lifecycle, the insurer made buying a policy simpler, kept more customers renewing and took the manual effort out of claims. Customers get fast answers on the channel they prefer, while sales, service and claims teams focus on the cases that genuinely need a person.
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