AI agent skills CV section for a claims handler

Claims handlers already work within an authority limit, check cover against policy wording and spot claims that do not add up. Those three habits are the core of reviewing an AI agent's claim decisions. This CV section puts them in terms an insurer hiring for AI operations will recognise, with a template and a filled sample.

What will an insurer look for in your CV?

Insurers are putting agents into first notification of loss, document gathering, coverage checks and drafting settlement letters. The agent can collect the facts, read the policy and propose a decision. Settling above a limit, declining a claim, or handling a case with fraud indicators or a vulnerable customer stays with a person.

An insurer reading your CV wants evidence that you make those calls well: you know where your authority ends, you read policy wording precisely, and you notice when the documents and the story disagree. They also want to see that you write decisions down clearly, because every claim decision may be revisited in a complaint. See how a claims handler should show AI agent skills on a CV for the reasoning in full.

How do you fill it in?

Pick one bullet for each of these: authority, coverage, fraud, communication. Use your line of business (motor, home, travel, commercial) because the cases differ. Give a rough volume and one concrete pattern you noticed.

Be careful with fraud. Describe indicators in general terms, such as dates that do not line up or receipts that look reused, and say what you did, usually referral to a specialist unit. Never imply you decided someone was a fraudster.

The CV section template

1. Heading: Claims decision review
2. Opening line: Claims handler in [line of business] ready to review agent-drafted [first notice decisions / coverage checks / settlement letters].
3. Authority: Settled claims up to [authority limit, described generally]; referred [type] to [role] with a recommendation.
4. Coverage: Checked [volume] claims against policy wording; [declined / queried] where [exclusion or condition] applied, with a written reason.
5. Fraud indicators: Spotted [type of inconsistency]; referred to [the counter-fraud team] with evidence.
6. Communication: Wrote [decline letters / settlement explanations] that [outcome, e.g. reduced repeat contact].
7. Agent or automation (if any): Reviewed [type] drafted by [tool or agent] during [pilot]; [what you caught].
8. Certificate: [Name], issued [month, year], expires [month, year], verify: [link]

A filled sample

A sample for an invented handler, Jakob, at an invented home insurer:

Claims decision review

Claims handler in home insurance ready to review agent-drafted first notice decisions, coverage checks and settlement letters.

• Settled escape-of-water and storm claims up to my authority limit; referred larger and complex claims to a senior handler with a recommendation and the evidence summarised
• Checked around 25 new claims a day against policy wording; queried claims where a wear-and-tear exclusion or an unoccupancy condition might apply, always with the clause quoted
• Spotted inconsistencies such as photo dates earlier than the policy start; referred to the counter-fraud team without accusing the customer
• Wrote decline letters that quote the exact clause and explain the customer's options; repeat calls on my declined claims fell noticeably
• During a triage pilot, reviewed agent-drafted first notice summaries; caught the agent treating "damp" and "leak" as the same peril and flagged the guidance to be updated

Certificate: Certified Pryme Operator, issued [month, year], expires [month, year], verify: [link]

The final bullet is the one that sets Jakob apart. He saw a pattern in how the agent read the claim, explained why it mattered for cover, and sent it to the people who could fix the guidance. That is the improvement side of agent review, which goes beyond clearing cases.

What makes claims experience different from other review backgrounds?

Two things. First, insurers keep careful records of why each claim was decided, so you are used to writing decisions down for someone else to read later. That is the same discipline a governed agent's decision record demands. Second, you work with mixed evidence: some documents come from a trusted source, some are the customer's own account, some arrive from third parties. Weighing them is your job, and it is the job of an agent reviewer too.

In some markets, pricing and risk assessment for life and health insurance counts as high-risk under the EU AI Act. If you work in those lines, mention that you know the decisions need a person's oversight; do not go further into the law on a CV.

Where the Academy fits

The Operator track of Pryme Intelligence Academy suits claims handlers well because its module tests are set in your own industry and role, so you practise on claims rather than generic cases. The certificate line on your CV then points to a page where an insurer can check it is current.