AI for Insurance Brokers: An AI Employee That Runs the Renewal Chase From T-60 to T-0

Key takeaways

• The renewal chase is predictable, repetitive and high volume, which makes it one of the best first jobs for an AI employee in a brokerage.
• An AI employee can send tailored information requests, follow up on schedule, collect documents and update the broking system.
• Advice, pricing, cover decisions and binding stay with licensed staff, and client messages can require approval during the pilot.
• Start with one renewal book, measure the baseline and let the results decide what runs on its own.

Every brokerage knows the renewal cycle. Sixty days out, the list comes out of the broking system. Then the emails start: requests for updated information, reminders, second reminders, phone calls, declarations arriving in five different formats. By renewal day, some files are complete and some are a scramble.

None of that chasing needs a licensed broker. It needs persistence, consistency and a good memory, which is exactly what an AI employee brings.

This article explains where the time goes in a typical renewal cycle, what AI can and can’t do in a brokerage, and how an AI employee runs the renewal chase from T-60 to T-0.

Why renewals are under pressure

Renewals are the lifeblood of a brokerage, and they’ve become harder work. Clients expect faster, more personal service. Insurers want more detailed and accurate information. Compliance obligations mean every step needs a record. And experienced account managers are hard to find and expensive to replace.

The result is familiar: skilled people spending a large part of each renewal cycle on the mechanics of collecting information, rather than on understanding the client’s risk and giving good advice.

What the renewal chase looks like today

1. An account manager exports the renewals due in the next 60 days.
2. They send the same information request dozens of times, adjusted by hand.
3. They diary a follow-up, then another, between client calls.
4. Declarations and documents arrive by email, in every format.
5. Someone re-keys the answers into the broking system.
6. The broker gets the file, often later than they’d like.

Where the time goes

• Tailoring requests. Each client needs a slightly different request depending on their policy, industry and what changed last year.
• Remembering to follow up. Diary notes and flags work until the week gets busy.
• Reading replies. Clients answer some questions, skip others and attach documents with unhelpful file names.
• Re-keying. Information arrives by email and has to be entered into the broking system by hand.
• Status checks. Brokers and managers ask where each renewal is up to, and someone has to find out.
• Peak weeks. 1 July and other common renewal dates create spikes that the team has to absorb on top of everything else.

What an AI employee can and can’t do in a brokerage

What it looks like with an AI employee

A single renewal, step by step

Imagine a small manufacturing client with a business pack renewing on 1 August. At T-60 the AI employee reads the policy in the broking system, sees that last year’s declaration listed one premises, and sends a request for updated turnover, wages, asset values and any new locations. The client doesn’t reply. On day 3 and day 7 it sends polite, specific reminders.

On day 9 the client replies with turnover and wages in the email and attaches a spreadsheet of assets. The AI employee records the figures, files the attachment against the client and notices the spreadsheet mentions a second warehouse. It flags the new location to the broker as a possible change in risk and asks the client one follow-up question about it. By T-30 the file is complete and the broker has everything needed to go to market, with the full conversation logged.

The broker’s time goes where it matters: reviewing the new warehouse, advising the client and placing the cover.

What stays with your people

An AI employee collects information, chases and prepares files. Advice, pricing, cover decisions and binding stay with your licensed staff. During the pilot, client-facing messages go out only after a person approves them, and every message and action is logged against the client.

That’s level 2 on our four levels of AI employees: the agent owns the routine chase and your brokers own the judgement.

Why renewals are the right place to start

• The volume is predictable. You know exactly which policies renew and when.
• The steps repeat every cycle. Request, remind, collect, file, escalate.
• The return is easy to measure. Hours spent chasing, files complete by T-30 and time back for brokers.
• It’s proven. Our Merlo AI employees already track and chase insurance renewals for strata bodies corporate.

What to measure

Before the pilot starts, capture the baseline for one renewal book. Then track the same numbers during the pilot:

• Hours spent on renewal chasing per week.
• Share of files complete at T-30.
• Average number of follow-ups per renewal.
• Time from first request to complete file.
• Renewals that went to the last week, or past the deadline.

Our guide to what manual follow-ups really cost shows how to turn the hours into a dollar figure for the business case.

How to get started

Start with one renewal book and one team. In an AI Workforce Discovery we map your current renewal process, size the hours on your own numbers and design the AI employee’s job: what it sends, what it escalates and which systems it reads and updates.

Read more on our AI automation for insurance brokers page, or see how the same pattern handles claims and policy admin.

Frequently asked questions

Does the AI employee work with our broking system?

The aim is always to work inside the systems you already use, including your broking platform, email and document store. In a Discovery we confirm how your system can be read and updated before anything is built.

Will clients be comfortable receiving AI-assisted messages?

Clients mostly care that requests are clear, relevant and timely. During the pilot a person approves client-facing messages, and you decide how to describe the service to clients.

What about compliance?

The AI employee doesn’t give advice or make cover decisions. Every message, reply and update is logged against the client record, which gives you a clearer audit trail than scattered emails and diary notes.

Is it only for large brokerages?

No. Smaller brokerages often feel renewal peaks most, because a few people carry the whole book. One AI employee on the renewal chase can make a noticeable difference to a small team.