How to choose an AI implementation partner for an independent insurance agency

An independent insurance agency can get AI from its agency-system vendor, a single-task tool, the MSP that runs its Microsoft tenant, or an implementer across the agency system, carrier portals, and inbox.

Applied and Vertafore are adding AI inside Epic and AMS360. Choose on one measurable workflow, customer data, carrier access, licensed approval, and who runs the system after launch.

Who implements AI for an independent insurance agency?

• Agency-system AI. Applied Epic or Vertafore AMS360, when the work stays inside that system. Check your version and the all-in annual cost.
• Single-task tools. Phone, certificates, or submissions, when one narrow job is worth another product.
• Your MSP. When the work stays inside the Microsoft tenant they already administer, with the access and review you need.
• Implementers. When work crosses the agency system, carrier portals, and email. Watch carrier access, licensed review, and upkeep.

Applied’s May 20, 2026 release describes Applied Recon, in Applied Epic, as automating commission reconciliation. Applied’s September 29, 2026 release says it launched Epic Conductor and does not state an availability date.

Vertafore’s Velocity page lists Policy Intake and Policy Check as early adopter, and other agents, including Reconciliation, as live. Its September 23, 2026 release says four new agents are with early adopters and will be generally available this year. Those pages publish no AI price. The same sentences, checked October 2026, are on the insurance agencies page.

What to look for in an AI implementation partner

Hold every route to the same checklist. Where to start picks the first job: repeated, rule-bound, and reviewable by someone who already does the work.

1. One workflow. Service-inbox triage or renewal-file completeness. Count preparation time and licensed review time. No savings figure before your files are measured.
2. The version. Confirm what a user can actually do before anyone assumes an API. A read login is not a write login. We found no public API terms for AMS360 when the insurance agencies page was checked in October 2026.
3. Carrier portals. Ask what the provider needs from each carrier, who notices when a screen moves, and what the workflow does that day.
4. Customer data. Agree access and retention before a pilot. The AI use policy template is a starting point. It does not replace the vendor’s controls.
5. Review, terms, and exit. Coverage interpretation, binding, issuance, and external communications stay with licensed staff. Ask for zero-retention, no-training terms in writing. See zero data retention. Agree who monitors it, what you can export, and what happens to keys. Compare with how we protect client data. Data isolation asks whether records are separated in the database.

How engagements usually work

• Strategy only. You get a plan, then your team or a vendor builds it. AI strategy is that conversation when the first workflow is still open.
• Build, then handoff. Someone builds one workflow, such as renewal-file preparation, and your team maintains it.
• Build and run. The partner operates and improves the system. Licensed staff still approve what goes out. Managed AI is this model.

Precision AI OS is the third model. The work follows how we work: Discover, Build, Launch, then Run and grow.

How long does it take?

The insurance agencies page shows an illustrative 90-day sequence. This page does not add week counts.

1. Discover and define. Map one workflow, check permissions, and agree what a useful result looks like.
2. Build and test. Connect approved inputs and test drafts on representative examples with your reviewers.
3. Run and improve. Introduce the workflow, monitor exceptions, and compare results with the baseline before you widen scope.

Agency-system permissions and carrier-portal access are the usual gates.

What stays with your team, and what’s out of scope

Coverage interpretation, binding, issuance, and client commitments stay with licensed staff. Replacing the agency system stays with you. Legal and regulatory advice stays with counsel.

The NAIC model bulletin, adopted December 4, 2023, is a template for state insurance departments, addressed to licensed insurers. NAIC members approved it as a bulletin on insurers’ use of AI.

It says insurers are expected to maintain a written AI program, including AI systems and data from third parties and, where appropriate, contract terms on audit rights and cooperation with regulators. Ask your carriers whether any of that is passed to you.

This is not legal advice. The same point, checked October 2026, is on the insurance agencies page.

Questions to ask before you sign

1. Systems. What is read, what is written, and how is that confirmed for our versions?
2. Carriers. What do you need from them, what happens when a portal changes, and do contracts pass AI-program requirements to us?
3. Approval. Who approves each output, and where is that recorded?
4. After launch. Who runs it, what does it cost, and can we export data and keys first?
5. Audits. What is complete? If none, which controls are you designed against?

Also use 12 questions for an AI vendor.

Where Precision AI OS fits

Precision is a specialist implementer, so read this with that in mind. We work with professional service firms of 10 to 500 people. We build a data pipeline and a private firm OS, then bounded AI agents for a defined job.

The insurance workflows on this page, including the service inbox, renewal preparation, certificate requests, and policy checking, are implementation opportunities. They are not completed agency projects.

Our most complete build so far is in tax. We built an end-to-end tax automation operation for a high-volume solo tax preparer, with under 5 minutes of human-in-the-loop time per return.

Each firm’s data is isolated in the database and encrypted with keys unique to it, and every approval is recorded. See how we protect client data.

Where we’re not the right fit

• Already covered. Your agency system’s AI does the job. Use it first.
• You will own the build. See build, buy, or have it built.
• Self-serve. You want a tool your team configures. We build, run, and maintain the system.
• A finished audit today. Our controls are designed against SOC 1 and SOC 2 criteria, but we haven’t completed an audit yet. See the security page.

Book a discovery call to walk one workflow, the two manual steps inside it, and who would approve the output.

Guides for other firms

The same choice is written for a mid-size CPA firm and a mid-size law firm.

Steven de la Fe, CPA, is a co-founder of Precision AI OS. He has 20 years of tax and accounting experience and has helped build Taxfyle for the past ten years.