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Insurance

AI for insurance agents, in plain English.

About two-thirds of independent agencies plan to use more AI this year, yet only 13 percent have a written AI policy. The public chatbots lead the pack. The tools below are the ones agents actually use, grouped by what they help you do.

Quick wins Copy a prompt, paste it into the free ChatGPT or Claude you already have.

Try these first

Four things insurance agents do all the time, each as a ready-made prompt. Copy one, paste it into a free AI tool, swap in the details in brackets, and you are done in under a minute. Keep real client data out of public tools.

Explain a confusing policy clause

A dense exclusion or coverage clause turned into something a client actually understands.

ChatGPT or Claude (free)
You are helping a licensed insurance agent explain coverage to a client.

Rewrite the policy language below in plain English a client would understand. Keep it to six sentences or fewer.

Rules:
- Use only general information. Do not include any real client's name, policy number, or personal details.
- Explain what is and is not covered, and why it matters, in everyday words.
- No hype, no scare tactics. Stay accurate and calm.

Policy language: [paste the clause or exclusion you want explained]
Go to skill

Follow up on a quote that went quiet

Three short, low-pressure follow-ups that get a reply without nagging.

ChatGPT or Claude (free)
Write three short follow-up messages (text-message length) to a prospect who asked for a quote and then went quiet.

Context:
- They asked about [line of coverage, e.g., auto, home, life].
- We last talked about [topic or sticking point].

Make each message warm and low-pressure, and give them an easy reason to reply. Do not use the phrase "just checking in." Do not include any personal client details.
Go to skill

Explain a coverage gap and your fix

A short, plain message that shows the risk and what to do about it, no scare tactics.

ChatGPT or Claude (free)
Help me explain a coverage gap to a client and recommend a fix.

Details:
- Current coverage: [what they have now]
- The gap: [what is missing or underinsured]
- The risk in plain terms: [what could go wrong]

Draft a short, friendly message (under 120 words) that names the gap, shows why it matters with a real-world example, and suggests one clear next step. No scare tactics. Use only general information, no personal client data.
Go to skill

Turn one topic into a month of posts

A whole month of simple, on-topic social posts from a single insurance subject.

ChatGPT or Claude (free)
Turn one insurance topic into a month of social media posts.

Topic: [e.g., why renters need insurance, what umbrella coverage does, common life insurance myths]

Give me eight short posts (two a week for a month). Each one: a plain-English hook, one useful point, and a soft invitation to reach out with questions. Friendly and clear, no jargon, no hard selling.
Go to skill

Top AI tools for insurance

Grouped by what they help you do. Each one links out to a real how-to, no fluff.

General AI assistants

ChatGPT

Drafts client emails and texts, simplifies policy jargon, writes follow-ups and social posts. The number-one tool in agencies.

Beginner-friendly Free / paid

Claude

Same drafting, summarizing, and explaining. Strong on longer documents and tone control.

Beginner-friendly Free / paid

Quoting and client data intake

Canopy Connect

A prospect authenticates with their current carrier and their policy data imports in seconds, for faster and more accurate quotes. Used by 20,000-plus agents.

Beginner-friendly Paid (trial)

Comparative raters (EZLynx, Tarmika)

One data entry runs a quote across many carriers and returns options in minutes instead of rekeying portals.

Some setup Paid

Lead gen, CRM and renewals

AgencyZoom

Insurance sales CRM: automated follow-up sequences, renewals, onboarding, and review requests. About $149 a month.

Some setup Paid
Learn it Setup guide ↗

ManyChat

Automates Instagram and Facebook DM lead capture and instant replies. A low-cost starter.

Beginner-friendly Free tier / paid

Phone and front desk

Sonant AI

Voice AI receptionist built for P&C agencies: answers calls around the clock, knows P&C terms, and integrates with agency systems.

Some setup Paid

My AI Front Desk

AI phone receptionist for after-hours lead capture, qualification, and booking.

Some setup Paid

Marketing and meetings

Canva (Magic Studio)

AI design for social graphics, flyers, and presentations from a prompt, with no design skill needed.

Beginner-friendly Free / paid

Otter and Fathom

AI note-takers that record, transcribe, and summarize client meetings into CRM notes.

Beginner-friendly Free tier / paid

What you can do with AI here

  • Draft and polish client emails and texts in a consistent tone (renewals, quote follow-ups, claim updates).
  • Translate dense policy language into plain English a client understands.
  • Send a link and get a prospect's current coverages back in seconds to quote faster.
  • Run one submission across many carriers and compare quotes in minutes.
  • Automate lead follow-up so no lead goes cold.
  • Capture and qualify after-hours phone calls with a voice assistant.
  • Generate a month of social posts and auto-summarize client meetings into the CRM.

Start safely

Best practices

01

Never paste client data into public tools

Do not put protected health information or personal identifying information into ChatGPT or other public chatbots. Data privacy is the top industry concern, and it is acute for life, health, and Medicare agents.

02

State regulation is spreading

The NAIC Model Bulletin on the use of AI systems has been adopted or mirrored by more than half the states. It expects governance, transparency, fairness, and consumer notice. Check your state's stance.

03

E&O exposure is your specific risk

If AI-generated content gives wrong coverage info, the agent can be on the hook. Tell your errors-and-omissions carrier you use AI and ask about coverage.

04

Write a one-page AI policy

Most agencies have none. A simple rule set (no client data in public tools, a human reviews everything client-facing, log your tools) is enough to start.

05

Human review before it reaches a client

Inaccurate output is the number-two concern. Treat AI as a draft-writer, not the final word.

Resources

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