Client Data and AI Tools: What Insurance Agents Can Share

An agent finishes a long call, opens a chatbot, pastes the client’s health history and medication list, and types: “Summarize this for the case file.” It takes ten seconds and saves twenty minutes. It also moves some of the most sensitive information an agent handles into a tool the agency may never have reviewed. Agents are right to want the speed. The question is which information can go where.

This guide gives a plain-language way to sort client data before it touches any AI tool, and a short list of questions to ask about the tool itself.

Why Client Data Is Different From Other Work Data

A draft email to a carrier rep is low stakes. A client’s diagnosis, prescriptions, income, beneficiary names, and Social Security number are not. These are the details that make a life insurance file useful, and they are also the details that do the most harm if they leak.

The National Institute of Standards and Technology (NIST) names this risk directly in its generative AI profile. It defines data privacy risk as “Impacts due to leakage and unauthorized use, disclosure, or de-anonymization of biometric, health, location, or other personally identifiable information or sensitive data.” Health information is on that list by name, and health information is the core of a life insurance application.

What the Risk Looks Like in Practice

The same NIST document describes three ways generative AI can create privacy problems. None of them needs a hacker to be a concern for an agency.

• Unknown training sources. NIST notes that “most model developers do not disclose specific data sources on which models were trained,” which limits what a user can know about how personal information was collected.

• Leakage. NIST states that “Models may leak, generate, or correctly infer sensitive information about individuals,” and it describes cases where models revealed information that was included in their training data.

• Inference. NIST adds that models may infer sensitive details “that was not in their training data nor disclosed by the user” by stitching together information from different sources.

For an agent, the practical lesson is narrow. You do not need to understand model internals. You need to treat anything you paste into a tool as information you have chosen to hand to another company, and you need to know that company’s terms before you do it.

A Three-Tier Way to Sort Client Data

Three simple tiers cover most of what agents do with AI day to day. Adjust them with your compliance contact, your carriers’ rules, and your state’s requirements.

Tier 1: Fine to use freely

Information with no client identity attached. Generic questions about how a rider works, a template for a follow-up email, a script outline for a call, an explanation of the difference between term and whole life. If you could post it on your website, it belongs here.

Tier 2: Use only with identifiers removed

Situation details with the name and contact information stripped out. “A 52-year-old non-smoker with controlled hypertension wants 20-year term” is a reasonable thing to think through with an assistant. Be careful about combinations. A rare condition plus a small town plus an occupation can point to one person even without a name.

Tier 3: Keep out of general-purpose AI tools

Names with health details, Social Security numbers, bank and payment information, full application contents, attending physician statements, and anything the carrier or client has told you to keep confidential. If a tool is going to touch this tier, it should be one your agency has reviewed and approved for exactly that purpose, not a free account you opened yourself.

Questions to Ask Any AI Tool Before It Touches Client Files

You do not need a legal team to ask these. You need the answers in writing, or on the vendor’s published terms page.

1. Is my input used to train the model? Some tools do this by default on free plans and turn it off on business plans. Do not assume.

2. Where is the data stored, and for how long? Look for retention settings you can control and a way to delete conversations.

3. Who at the vendor can see it? Support staff access and human review of conversations should be disclosed.

4. Is there a business agreement in place? Agency-level terms usually offer more protection than a personal account.

5. Can I turn history off, and can I export or delete my data?

6. Does my carrier allow it? Many carriers set their own rules for how applicant information is handled. Check the producer agreement and any carrier guidance before you assume a tool is acceptable.

What Regulators Have Said, and What They Have Not

The National Association of Insurance Commissioners (NAIC) maintains a page on artificial intelligence that includes its Model Bulletin on the Use of Artificial Intelligence by Insurance Companies, adopted in December 2023. The bulletin says that “decisions or actions made or supported by AI must comply with all applicable insurance laws and regulations.”

That bulletin is written for insurance companies, and each state decides whether and how to adopt it. It does not give agents a tool-by-tool checklist. What it does signal is the direction: existing privacy, consumer protection, and licensing rules still apply when AI is involved. An agent who would not email a full application to a personal address should not paste it into an unreviewed tool either. For a broader look at the rules, see our guide to NAIC AI rules for life insurance agents.

Build a One-Page AI Use Rule for Your Agency

You can turn all of this into a page your team will actually read. Include:

• The three tiers above, with two examples of each from your own book of business.

• A short list of approved tools and what each is approved for.

• A rule that nothing in Tier 3 goes into a tool that is not on the approved list.

• A reminder that AI output can be wrong and must be checked before it goes into a file or to a client. Our piece on AI hallucinations in insurance covers what that looks like.

• A named person to ask when something is unclear.

Good file habits help here too. A tidy, consistent record is easier to protect and easier to defend, which is the subject of our guide to life insurance case file documentation. If you are still choosing tools, our overview of AI tools for life insurance agents is a starting point.

The Short Version

Sort the data first, then pick the tool. Keep identifiable health and financial details out of anything your agency has not reviewed, ask six plain questions of every vendor, and write the rule down so the whole team follows the same one. The speed is worth having. It should not cost a client’s privacy.

Peach Pilot supports licensed agents’ workflow. Carriers make final underwriting and issue decisions.