AI-assisted insurance work: route the question before drafting an answer

Classify the decision, not the vocabulary

Start with what the sender is asking the organization to do. Is the request for a published contact route, a generic process step, the status of a specific claim, or an interpretation of a policy clause? The same word, such as “excess,” can appear in a general glossary question and in a dispute about an individual payment. The first may be answered from a current approved public explanation. The second needs the applicable contract, jurisdiction, facts and a designated human decision maker. Do not let an AI-generated similarity label collapse them into one response category.

The NAIC's account of its AI model bulletin describes governance, risk and documentation concerns for AI used by insurers and explicitly says the bulletin is not itself a model law or regulation. EIOPA's opinion on AI governance and risk management addresses European national supervisors and describes a risk-based approach. These are different jurisdictional contexts. Neither authorizes a specific insurer workflow, and neither source can decide a customer's coverage question.

Sources: [1] [2]

Build a question-authority matrix

Imagine a fictional property-insurance service desk using only a synthetic inbox. The source pack contains a current public “how to submit documents” page, an approved contact directory, an old process leaflet and a fictional policy excerpt. The team may ask AI to suggest a category and a draft internal note, but not to send an answer or reach a coverage conclusion. The matrix has columns for the customer's question, requested decision, controlling source, source version, permitted next step, owner and stop condition.

One message asks where to upload a supporting photograph. The approved public page gives a route; the worker checks the link and can propose a generic reply for a human to approve. Another asks, “My claim was rejected because of clause 7. Is that correct?” The policy excerpt and individual facts would matter, but the desk does not answer from the old leaflet or an AI explanation. Its permitted next step is to preserve the message, confirm the authorized escalation channel and route it to the appropriate claims owner. A third message says a payment has been delayed. Without current case access, the worker cannot state a status or promise a date. They give the verified contact route and flag that a case-specific reply requires an authorized person with access to the record.

The old leaflet is a deliberate trap. It lists a retired email address for document submission. If the AI draft repeats that address, the worker rejects it using the current contact directory. The matrix records why the old source was excluded. It does not silently replace the address and erase the error, because the correction itself is evidence that the worker checked version authority.

Verify the route on adversarial examples

Run the synthetic exercise with two near-identical questions. “What does the public guide say about reporting a loss?” seeks a current published process. “Does my loss qualify under that guide?” asks for an individualized determination. A reviewer should be able to see that the worker routed them differently, cited the current public source for the first, and avoided a coverage conclusion for the second. Add a message with a missing claim identifier and test whether the worker asks for a safe follow-up through the approved channel rather than guessing the case.

The NIST AI RMF Map playbook discusses defining intended use, knowledge limits and human oversight. Applied here, the intended use is drafting a routing note, not making a consumer decision. The desk supervisor checks the answerable public information; a claims owner handles case-specific matters; data and security owners set rules for any real material. Record which source version and human owner resolved each exception before treating the matrix as ready for routine use.

Sources: [3]

Keep the boundary in the final communication

A routing note should not be dressed up as coverage advice, a claims decision or regulatory compliance assurance. Different insurance products and jurisdictions have different requirements, so a real organization needs its own approved sources and professional review. This page offers a training method for distinguishing question types and preserving source authority. Two Prune could use a synthetic case to observe whether a participant catches the retired contact, identifies the case-specific question and communicates a safe escalation. Its report would describe bounded assessment evidence for human interpretation, not automate an insurance or employment decision.