Compliance officers review an agent's decisions as second-line monitoring, not as another approver in the queue. They sample decisions from the record, find the deciding bound, test the outcome against the relevant rule, and check first-line approvals were made by qualified people with proper reasons. Open items they own get a decision and a reason.
How is compliance review different from first-line review?
First-line reviewers, the claims handlers, analysts and operators in the business, decide held items one at a time. Compliance asks a different question: is the system of decisions, agent plus people, producing compliant outcomes? That means looking at samples and themes, at decisions the agent made alone as well as held ones, and at the quality of human approvals.
It also means keeping distance. A compliance officer who approves operational items cannot independently test them later. Review is where compliance adds value; routine approval is where it loses independence.
What are the steps?
- Choose the sample. Random across all verdicts, plus targeted samples where risk is higher: refusals customers complained about, held items approved quickly, decisions after a change to the agent.
- Reconstruct each decision. The record shows the verdict, the facts the agent used and their provenance, and which of the five bounds decided.
- Test against the rule. Does the outcome meet the regulatory requirement and the firm's policy? For customer decisions, would the customer get a clear reason?
- Test the human step. For held items: who approved, were they qualified at that moment, was the reason adequate, how long did they take?
- Look for themes. The same correction by first-line reviewers many times; a bound that holds too much or too little; a source that is often missing.
- Record findings. Each with evidence, severity, owner and due date.
- Act on individual items where needed. If a decision is still open and wrong, edit or decline it with a reason, or send it back to the business.
What does compliance look for in the record?
| Evidence | What good looks like | What raises a finding |
|---|---|---|
| Deciding bound named | Every verdict names it | Verdicts without a clear cause |
| Fact provenance | Decisions on customer money rest on sealed or signed facts | Approvals resting on declared or external facts alone |
| Reviewer qualification | Approver held a current credential at the time | Approvals during a lapse |
| Reasons | Specific, citing rule and fact | "Agree", "OK", blank |
| Time per decision | Consistent with careful reading | Sudden drops, batch approvals |
| Agent certification | Current, depth matches what the agent did | Actions above certified depth |
An example: a thematic review
Take an insurer's compliance team running a quarterly review of a claims agent. In a sample of 80 decisions, all held declines were approved by qualified handlers with reasons. But the sample of allowed payments shows the agent settled several claims at depth 3 that, under the firm's own policy, should have been held for vulnerability checks: the customers had vulnerability notes in a system that is not one of the agent's sources.
No individual approval was wrong; the agent acted within its sources and limits. The finding is about the design: a missing source. Compliance records it, the claims owner adds the source and re-certifies the agent, and compliance tests again next quarter. Local detail on this kind of team is in AI agent training for compliance officers in insurance in Spain.
Which controls make the review count?
- Samples are drawn independently of the business.
- Findings have owners and dates and are tracked to closure.
- Compliance has direct read access to the record, not reports prepared by the business.
- Compliance staff understand the agent well enough to read its decisions, which is a training requirement in itself.
Compare how first-line roles review: how loan officers review an AI agent's decisions and how procurement officers do. Training compliance itself is covered in how to train the compliance team to review AI agent decisions. The role map is in AI agent skills by role.
Where the Academy fits
Pryme Intelligence Academy teaches the reading skills compliance review depends on. Foundations covers the decision chain and depth for anyone; the Operator track covers human review, reading the workspace and what to do when something goes wrong. Compliance leads overseeing regulated, multi-agent deployments may go further to the Architect track, which ends in a board review with two Pryme assessors.
Questions people ask
How often should compliance review an agent?
On a set cycle, with extra reviews after changes to the agent, its sources, its limits or the rules it applies. Higher-risk agents warrant more frequent review.
Should compliance be able to stop an agent?
Compliance should be able to require that an agent is paused or narrowed when a finding is serious, through a defined route that the business owner then executes.
Does compliance need its own certificate?
It needs enough training to read decisions and the record confidently. A reviewer-level credential is a sensible minimum for those who test agent decisions.