Start with ready-made AI agents with instructions on how to manage them on the marketplace. Browse the library
Back to blog
Back to blog

AI Agent for Insurance Renewals: Policy Expiry Reminders

https://s3.ascn.ai/blog/b107f039-3c7e-4cc6-95d2-d4489b7b72c0.jpg
ASCN Team
16 October 2026
Build an AI agent for your task
It will handle requests, sort your inbox, compile reports, and follow up with clients. No coding or complex integrations required.
Try for free

An AI agent for insurance renewals does one job that half an agent's income depends on: reminding the client in time that the policy is expiring. Not selling something new, just not losing what is there.

The book of business grows, expiry dates scatter across the year, and one day you learn that someone renewed with another broker simply because that broker wrote first. People do not leave their insurance agent over price. They leave over silence.

The short version

An AI agent for insurance renewals keeps a policy register in a spreadsheet, watches expiry dates, messages the client ahead of time and raises a task for the agent whenever a conversation is needed. Quoting and paperwork stay with the human. The integrations are Google Sheets, Google Calendar and Telegram.

Contents:

What an AI agent for insurance renewals solves

An agent with three hundred clients has twenty to thirty policies expiring every month. The only way to track them is a list, and the list has to be checked daily. In practice it gets checked when someone remembers, and a share of clients leaves quietly.

The second loss is less obvious. The client renews, but on the last day, in a hurry, with no conversation about anything else. A reminder a month out leaves room to discuss wider cover, home insurance or a policy for the second car.

How the reminder works

AI Agent for Insurance Renewals: Policy Expiry Reminders

The spreadsheet holds the register: client, policy type, insurer, start and end dates, premium, contact. Every morning the agent compares today against the expiry column and pulls out everyone at thirty days and at seven.

At thirty days the first message goes out: a reminder and an offer to quote early. At seven days the second, shorter one, leaning on the deadline. The agent marks both sends in the spreadsheet so nobody gets the same message twice. If the client replies, the conversation comes to you, because what follows is a quote rather than a reminder.

What to connect

ComponentPurposeRequired
Google SheetsPolicy register and send marksYes
TelegramReminders and tasks for the agentYes
Scheduled taskDaily date checkYes
Google CalendarCalls with larger clientsNo
GmailSending quotes by emailNo

The whole setup rests on the quality of the register. If expiry dates are half filled in, the agent will work honestly through that half and never learn about the rest.

Building it in five steps

  1. Clean up the register. This is the longest part: the data usually lives across notebooks, email and memory. You need at least client, contact, policy type and expiry date.
  2. Create the agent and connect Google Sheets with that register.
  3. Write two message templates, one for thirty days and one for seven. Different in tone, both short. Nobody reads a long reminder about insurance.
  4. Connect Telegram: your tasks arrive there, and that is where the client replies if they write to your bot.
  5. Set a daily task for the date check and ask for a morning list: who got a reminder today and who replied yesterday.

Working with a register in spreadsheets is covered in the Google Sheets automation guide, and the handover logic in the case on AI agents in B2B sales.

What it is worth in money

A worked example. Assumptions: 300 clients, 25 policies up for renewal a month, 2,000 roubles of commission on an average policy. Renewal rates without reminders run noticeably lower than with them, but the exact share differs for everyone.

MetricWithout the agentWith the agent
Policies expiring monthly2525
Reminder sentwhen rememberedeveryone, at 30 and 7 days
Agent time on calls3-4 hours a month30 minutes on replies
Room to discuss add-onsrarelya month of lead time

The honest way to count here is not a renewal percentage but the fact that the reminder reaches everyone, on time. Even a couple of retained policies a month at 2,000 roubles of commission covers the setup effort.

What the agent does not do

It does not price policies or pick programmes. It does not complete paperwork or take payment. It does not answer questions about what is covered: getting that wrong means the client finds out about an excluded risk at claim time.

A reminder is a reminder and an invitation to talk. Everything after that is a person's job.

Frequently asked questions

Where does the agent get expiry dates?

From your spreadsheet. There is no documented connection to insurers' systems, so the register lives on your side and gets updated when a policy is issued.

Will this look like spam?

Two messages in the month before expiry do not read as spam when they are short and relevant. Trouble starts with weekly reminders, which is why marking sends in the spreadsheet is not optional.

What if the client replies with a price question?

The agent hands the conversation to you and raises a task in Telegram. It does not quote, by design.

Can it handle several policy types?

Yes, the type is a column and the message template is chosen from it. A motor renewal and a home insurance renewal should not sound the same.

Does this suit a small agency with three agents?

Yes. A column with the responsible agent solves routing: the task goes to whoever owns the client.

The bottom line

Renewals are lost to silence, not to price. The agent closes exactly that gap: it watches the dates, writes to the client early and brings the conversation back to you while there is still time to discuss cover rather than sign something on the last day.

Ready-made reminder and register agents are in the ASCN marketplace. For help setting one up around your register, message a manager on Telegram.

MainBlog
AI Agent for Insurance Renewals: Policy Expiry Reminders
By continuing to use our site, you agree to the use of cookies.