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How-to

How can insurance agents use AI

A practical walk-through for agents and agencies: quote intake, renewals, certificates, service requests and follow-up, built on the systems you already run.

Updated 5 min read

The short answer

How can insurance agents use AI? Start with one repetitive process, such as quote intake or renewals. Connect your agency management system, decide what a person must approve, test on past files and measure the hours saved before adding the next process.

Key points

  • Pick one process, not the whole agency
  • Connect the agency management system first
  • Decide what a person approves
  • Test on closed files before going live
  • Measure hours, then add the next process

Step by step

Seven steps from inbox to automated

Follow them in order. Each one builds on the last.

  1. List the repetitive agency tasks

    Write down quote intake, renewals, certificates, service requests and follow-up, with the hours each takes weekly.

  2. Pick the process that costs the most

    Choose the frequent, rules-based task. Daily work pays back faster than monthly work.

  3. Connect your agency management system

    Link the system holding clients and policies, so the AI reads and writes in one place.

  4. Define what the AI drafts and what you decide

    Let it prepare, sort and remind. Keep coverage advice, pricing exceptions and claims decisions with a licensed person.

  5. Set the approval rules

    Choose which outputs go out automatically and which wait for review. Start strict, then loosen.

  6. Test on past files

    Run closed quotes, renewals and requests through it. Compare its output with what your team did.

  7. Measure and add the next process

    Track hours saved and errors caught. Use the savings to justify the next process.

Side by side

Manual work versus automated work

What changes in daily agency tasks.

CriterionManual todayWith AI
Quote intakeRetype details from emailsFields pulled and gaps flagged
RenewalsCheck lists by handUpcoming dates flagged and drafted
Service requestsRead and forward each oneSorted and routed by type
Follow-upDepends on memoryReminders sent and logged

Why agents are looking at AI now

  • Carriers adopt AI

    Auto insurers report wide use or plans.

  • Adoption is rising

    Insurers moved from 61% to 77%.

  • Agencies feel it

    Faster expectations reach your desk.

Adoption is widespread on the carrier side. NAIC data shows AI in use or planned at 88% of the 193 auto insurers that replied.

Conning's insurer survey shows 77% at some stage of AI adoption, up from 61% in 2023. Agencies feel that pressure through faster carrier expectations.

Where AI fits in an agency

  • Quote intake

    Read requests and find missing fields.

  • Renewals

    Flag dates and draft outreach.

  • Certificates

    Prepare requests for review.

  • Service requests

    Sort and route by urgency.

  • Follow-up

    Remind clients and log the contact.

Good first uses are the ones that repeat every day, as our AI for insurance agencies page shows. Most agency work follows rules and lives in email, forms and your management system.

Keep a person on the decisions

AI can prepare

  • Intake summaries
  • Renewal reminders
  • Draft emails
  • Routing of requests

A person decides

  • Coverage advice
  • Pricing exceptions
  • Claims decisions
  • Unhappy clients

The NAIC expects AI to assist workers far more often than replace them. Treat it as an assistant that prepares work.

Regulators also expect governance. The NAIC adopted a model bulletin on insurers' use of AI in December 2023, and carriers you work with will ask how you control it.

Claims work and the claims workflow

  1. 01

    Intake

    Receive the report and documents.

  2. 02

    Document check

    Confirm nothing is missing.

  3. 03

    Review

    A person checks the file.

  4. 04

    Hand-off

    Pass the clean file to the carrier.

If you handle service around claims, the same method applies. A basic insurance claims processing workflow has intake, document check, review and a decision, the same steps as our claims automation work.

BLS expects technology to take over some claims adjuster tasks.

Agencies can use the same idea to learn how to automate insurance claims paperwork: collect documents, check they are complete and pass clean files to the carrier.

Test before it touches a client

Without testing

  • Errors reach clients
  • Rules guessed
  • Team loses trust

With past files

  • Errors caught early
  • Rules tuned on real cases
  • Team trusts the output

Use closed files, as our guide to AI in insurance recommends for any model. Run them through the new process and compare results with what your team actually sent.

Look for wrong dates, missed fields and odd wording. Fix the rules, then test again before any client sees an output.

Common mistakes to avoid

Most failures come from scope and data, not from the AI itself.

  • Automating everything at once instead of one process
  • Skipping the agency management system connection
  • Letting outputs go out with no review rule
  • Measuring nothing, so nobody knows if it worked

Our data

What AI answers when buyers ask

We asked ChatGPT, Gemini and Perplexity 10 buyer questions about AI for insurance agencies. They named 119 companies, and 85% appeared in only one of the three.

CriterionChatGPTGeminiPerplexity
Companies named484653
Sites cited mostsonant.ai (3 of 10)reddit.com and wyecliff.ai (3 of 10)agentforthefuture.com and cloudtalk.io (3 of 10)

Nexum measurement, October 20, 2026, via DataForSEO: 10 buyer questions to each AI, US English, 30 answers in total. 10 companies appeared in all three. Google showed an AI Overview for 9 of the 10 questions.

FAQ

Questions about AI for insurance agents

  • Insurance business process automation means software handles repetitive steps such as intake, reminders and routing, while people keep decisions. Insurance automation can cover an agency's quotes and renewals or a carrier's claims and underwriting.
  • Start with how to use AI as an insurance agent in one process, like quote intake. Connect your management system, set approvals, test on past files, then measure the hours saved.
  • AI tends to support staff rather than replace them, according to the NAIC. The Bureau of Labor Statistics projects insurance sales agent jobs to grow 3 percent from 2025 to 2035.
  • Good insurance automation ideas include quote intake, renewal reminders, certificate requests, service request routing and client follow-up. Each repeats daily and follows clear rules.
  • Mostly yes. Health insurance automation also starts with a repetitive process and keeps people on decisions. The NAIC found that 84% of health insurers report using AI or machine learning in some capacity.
  • Carriers use it for underwriting, claims and fraud detection. Agencies use AI for insurance processes like intake, renewals and follow-up. The NAIC lists many uses across the insurance life cycle.
  • Automation consultants for insurance map your processes, rank them by payback, build the first system and train the team. A workflow automation consultant for insurance companies works on your existing tools.

Final step

Pick a time. Let's talk.

You leave knowing which processes to automate first and what each one costs you today, whether we work together or not.

You can keep paying for manual work, or find out this week exactly what it costs you.

What happens on the call

  1. Before

    You answer 3 quick questions when you book, so we come prepared.

  2. On the call

    We find the manual work that costs you most and put a number on it, live.

  3. Decide

    An honest read on whether we're the right fit. If we're not, you'll hear it on the call.

Once you book, we look at your site and tools before the call, so the 30 minutes go to your numbers, not introductions.

Prefer to write first? Email us directly: contact@nexumautomations.com

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