Three Insurance Tasks I'd Give AI Today

11 min read
September 11, 2026

 

The Fast Take

Stop asking which AI tool is best and start with the task in front of you. Prospect research, meeting follow-up, and renewal prep are three everyday jobs AI can take on right now, as long as a person still checks the work before it reaches a client. Get good at that, and the next step is turning a useful prompt into a repeatable workflow your whole team can run the same way. 

Every week I get asked some version of the same question: "Which AI tool should I use?"

It's the wrong first question. Before you pick a tool, you need a task. AI doesn't create value by existing on your desktop. It creates value when you point it at something specific: a piece of work that happens often, takes real time, and can be checked by a person before it goes anywhere.

So instead of ranking tools, here are three tasks I would hand to AI in an independent agency this week. Not because they're flashy. Because they're common, they're low-risk, and a human stays in charge of the outcome the whole way through.

1. Research a prospect before the first meeting

Before a producer walks into a meeting with a new prospect, someone usually spends 20 to 30 minutes pulling together the basics: what the business does, where it operates, what its exposures probably look like. That's exactly the kind of repetitive, research-heavy task AI handles well.

Give it the public information you already have and ask it to organize the work.

Starter Prompt

Here is public information about [prospect company]. Summarize their business, locations, and operations, list possible risk exposures, then give me 10 discovery questions and five producer talking points 

2. Organize a policy or quote comparison

Lining up two proposals side by side, limits, deductibles, exclusions, endorsements, and figuring out what actually changed, is exactly the kind of careful, repetitive work that eats a CSR's afternoon. AI can turn it into a clean comparison in minutes

Starter Prompt

Compare these two proposals in a table: limits, deductibles, exclusions, and endorsements. Highlight every difference and list what I should confirm with the carrier.

Human checkpoint: AI can organize the differences. It should never be treated as the final authority on policy language or coverage. Confirm anything that matters against the actual documents or the carrier.

3. Prepare for a renewal

Renewal prep is the same handful of steps every time: pull the account, see what changed, flag what's missing, get ready for the conversation. That repeatability is what makes it a good fit for AI, and a good candidate for turning into an actual workflow instead of a one-off prompt.

Starter Prompt

Here is the account summary for [client]. Summarize what changed this year, flag missing information, and give me eight questions to ask in the renewal meeting.

Bonus task: Turn meeting notes into a summary and follow-up

This one didn't make the top three this time, but it's still one of the easiest wins in the agency. I walked through exactly how to do it, step by step, in this article.

The Pattern Behind All Three

Notice what these three tasks have in common. Each one is frequent, each one eats real staff time, and each one ends with a person reviewing the output before it touches a client or a decision. That's not a limitation of AI. That's the whole point.

Automate the task. Don't automate the accountability.

Take the Prompts to the Next Level

A good prompt solves one moment. A workflow solves the problem every time it comes up, without anyone having to remember the steps.

Here's how the move from one to the other actually works. Once you have a prompt that reliably produces something useful, look at what surrounds it.

  • What triggers the task in the first place, a new lead, a renewal date, an approved transcript?

  • What information has to go in before AI can do its part?

  • And once you have the output, what does a person need to check, and what's the real next step, an email that gets sent, a file that gets updated, a meeting that gets scheduled?

Write those pieces down in order: what starts the task, what goes in, what AI produces, where a human reviews it, and what happens last. That's a workflow. It's still the same prompt you were already using. You've just made the surrounding steps explicit instead of leaving them in one person's head.

Do that once for a task like renewal prep or meeting follow-up, and it stops depending on which employee happens to remember how it's done. Anyone on the team can run it the same way, get consistent results, and know exactly where their judgment is supposed to kick in.

That's also where the real time savings show up. A good prompt saves a few minutes once. A workflow saves those same few minutes every time the task repeats, for everyone who uses it.

That's the shift: stop asking which tool is best, and start asking which piece of your week could use this kind of help. Once you know the task, and once you've mapped the workflow around it, the tool question gets a lot easier to answer.

Build It In the AI Masterclass

We build exactly this kind of thinking, prompt by prompt and workflow by workflow, in the Catalyit AI Masterclass for Independent Insurance Agents, starting October 6. 

AI is the tool. You are the advantage.

 

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