How to teach claims handlers to bank corrections that improve an AI agent

Claims handlers correct the agent's cover checks, letters and settlement figures every day. Teach them to bank each correction with a cause (wrong wording version, exclusion misapplied, calculation error, tone) plus the clause or document that proves it. The agent owner fixes the source or brief, adds the claim to certification and re-certifies. The model is not retrained.

What is a banked correction in claims?

A claims agent reads the first notice of loss, checks it against the policy wording, requests documents, drafts letters and prepares settlements for handlers to approve. Handlers spot its mistakes: an exclusion applied where it should not be, an excess deducted twice, a letter that sounds cold to someone whose house has flooded. Banking means recording, in a structured way, why the agent was wrong, so the fix reaches every future claim.

Our guide to AI agent skills by role treats this as part of the reviewer's job, and how claims handlers review an AI agent's decisions covers the review itself.

The claims team manager owns the practice. The agent owner acts on banked corrections, with the product team involved where wording is unclear.

What are the steps?

1. Agent, depth 2: drafts the cover view, letter or settlement. It cites the clauses and documents it relied on.
2. Handler: decides and corrects.
3. Handler: banks the correction. Picks a cause, adds a short note, and cites the clause, schedule or document that shows the right answer.
4. Agent, depth 1: groups banked corrections weekly by cause, product and wording version.
5. Agent owner with a senior handler: reviews the groups and decides the fix.
6. Product team: resolves wording questions where the policy itself is unclear.
7. Builder: changes sources or brief, adds the claims to certification, re-certifies.

Which causes should claims handlers use?

• Wrong wording version. The agent read the current policy wording, but the claim falls under the wording in force at the date of loss. Fix: how the agent selects wording from the policy library.
• Exclusion misapplied. The agent applied an exclusion too widely or missed one. Fix: brief, often with worked examples.
• Calculation error. Excess, limit, betterment or depreciation applied wrongly. Fix: the calculation rule in the brief or a house rule.
• Document misread. An invoice or report was read wrongly. Fix: brief, or flag the document type as needing a person.
• Tone. Accurate but unkind or confusing to a customer in distress. Fix: template.
• Should have referred. Indicators the agent should have passed to investigations. Not banked as an improvement: referred at once, then banked once the case is safe.

The wording version cause deserves emphasis. Insurers update wordings; claims arrive under older ones for years. An agent that always reads the latest wording will be wrong in a way that looks right. Handlers who bank this cause help the owner fix how wordings are selected, which then corrects every future claim on older policies.

Calculation errors are the other cause worth teaching carefully. A handler who spots that the excess was taken twice should bank the claim even if the final settlement was corrected before approval. One such correction might be a slip; five in a month on the same product usually point to a rule in the brief that does not match how the schedule is written. The owner can only see that pattern if every instance is banked, including the ones caught early.

Teach handlers, too, that "the agent was right but I disagreed" is worth recording. Sometimes the agent applied the wording correctly and the handler's instinct was wrong; sometimes the reverse. Banking both lets a senior handler settle the question once.

Which controls make the practice work, and what evidence do they leave?

Clause cited on every banked correction. Evidence: the clause or document reference on each.

Wording questions go to product. Evidence: questions raised and answers given.

Fraud indicators never sit in the improvement queue. Evidence: referrals made before banking.

Corrected claims join certification. Evidence: claim references in the certification set.

Re-certification after changes. Evidence: certificate dates following each fix.

What should you measure?

• Corrections per hundred claims, by cause and product.
• Repeat corrections after a fix.
• Complaints about declines where the agent drafted the decline, as the outcome measure.
• Time from complete claim to settlement, which should fall as corrections land.

Where does it usually go wrong?

Handlers fix the letter, not the cause. The letter is right, the next one is wrong again. Make banking part of approving.

The owner tunes around unclear wording. If two readings are reasonable, product decides, not the brief.

Corrections are counted against handlers. They stop banking. Use corrections to measure the agent.

Decline drafts improve in tone but not in substance. Watch the "exclusion misapplied" cause separately from "tone"; see what claims handlers should never let an AI agent do. Other teams handle a similar mix; compare how to teach operations managers to bank corrections and how to teach IT administrators to bank corrections.

For insurers in a particular market, AI agent training for claims handlers in insurance in Australia shows how local rules shape the same practice. In Pryme Intelligence Academy, banking corrections is taught in the Operator track's module on teaching the agent.