How to train the claims team to review AI agent decisions

A claims team learns to review agent decisions through lessons on how the agent checks cover and drafts offers, calibration on real anonymised claims, two weeks of shadow review with every decision checked, and sign-off against a written standard. That standard has one absolute: every decline, and every payment to a changed payee, is decided by a person.

Which decisions will the claims team review?

A claims agent typically reads notifications of loss, checks policy cover, gathers documents, proposes a reserve, drafts a settlement offer or a decline for a handler, and settles small, simple claims within tight bounds. Settlement moves money, so it is depth 4 if allowed at all; most teams start the agent at depth 2 for offers and keep every decline with a handler permanently.

That gives the team four kinds of review. Drafted offers, where the handler checks amount, cover and evidence. Drafted declines, which carry the greatest consequence for the customer. Held items, where the agent stopped because a bound decided. And a sample of small claims the agent settled itself, if it has reached that depth.

The claims manager owns the training. The technical claims lead sets the sign-off standard. The customer outcomes or conduct lead reviews the decline part of it.

What are the steps?

1. Learning, week 1: handlers complete lessons on how the agent reads a claim: sources and their provenance, the five bounds, and why it holds or refuses.
2. Agent, depth 1: builds a practice set of past claims with its draft and the handler's final decision.
3. Calibration, week 2: handlers decide the set alone, then compare in a session led by the technical lead. Gold standards are recorded, with declines discussed first.
4. Shadow, weeks 3 and 4: handlers review live drafts; a senior handler checks every decision before it reaches the customer.
5. Agent, depth 2 in live work: drafts offers and declines; holds anything outside bounds. If the agent later reaches depth 4 for small claims, handlers add sampling of those settlements.
6. Sign-off: the claims manager assesses shadow decisions on accuracy, reasons and customer treatment.
7. Ongoing: weekly sampling and monthly calibration.

What must handlers learn to check?

Cover. The agent reads the policy wording and schedule from the system of record. Handlers check whether it read the right version, applied endorsements, and considered the date of loss against cover dates.

Evidence. Which documents support the loss and the amount, and where each came from. An estimate from an approved repairer counts for more than one emailed by the claimant.

Reserves. A reserve set too low hides exposure; too high distorts reporting. Handlers check the agent's reasoning, especially on injury or liability claims where it can change.

Declines. Every decline needs a specific reason tied to a policy term, written so the customer can understand and challenge it. Handlers should treat the agent's draft decline as a starting point only.

Vulnerability. A bereaved claimant, a customer in financial difficulty, a claimant who struggles to communicate. The agent flags what it notices; the handler decides how to adjust the handling.

Complaints. Expressions of dissatisfaction inside claim correspondence must be recognised and routed, not lost in the claim file.

Which controls leave evidence?

• Every decline decided by a person. Evidence: the handler's name and reason on each.
• Lessons before shadow. Evidence: completion dates.
• Shadow decisions checked. Evidence: the senior handler's name.
• Sign-off recorded. Evidence: the assessment and sampled claims.
• Depth 4 settlements sampled. Evidence: weekly sample log if the agent settles.

What should you measure?

• Shadow accuracy per handler.
• Declines overturned on complaint or review.
• Reserve movements on agent-drafted reserves, compared with handler-set ones.
• Complaints recognised in sampled correspondence.
• Cycle time, so review does not slow simple claims unduly.

Where does it usually go wrong?

Declines get the same attention as offers. They should get more. Make declines a separate calibration topic.

Reserves ignored in training. Teams focus on what the customer sees and forget reserves until finance asks.

Shadowing during surge. After a storm or flood, volumes spike and senior handlers stop checking. Schedule shadow weeks outside surge periods, and pause sign-off if one hits.

Handlers trust tidy drafts. Include drafts with deliberate errors in calibration.

Handlers are never told what changed. When the agent's owner updates its brief or bounds after a recertification, handlers need a short note on what the agent will now draft or hold differently. Without it, they keep correcting behaviour that no longer exists, or miss new behaviour that needs checking.

How a handler reviews day to day is set out in how claims handlers review an AI agent's decisions, and new starters follow the reviewer onboarding checklist for the claims team. Compliance runs the same stages with a second-line lens in how to train the compliance team to review AI agent decisions, and how support team leads review an AI agent's decisions shows a customer-facing contrast. The full programme is in training teams for AI agents.

Where the Academy fits

Pryme Intelligence Academy's Operator track covers how a governed agent decides, human review and when something goes wrong, with module tests set in the learner's own industry and role, so handlers work claims cases. The practicum requires two weeks of real review decisions with no missed red line. A business can make the right to approve agent-drafted settlements depend on a current certificate, depth by depth.