What is mentoring?

Mentoring is a working relationship in which a more experienced person guides a less experienced one over time, sharing judgement, context and advice that formal training does not carry. For people new to reviewing AI agent decisions, a mentor is usually an experienced reviewer who helps them read held actions, calibrate their decisions and know when to pass something up.

Why does mentoring matter for agent oversight?

Courses teach the rules: what depth means, how the bounds combine, what each verdict asks of a person. They are weaker at teaching the judgement that sits between the rules. Should this held refund be approved even though the customer's history is unusual? Is this source stale enough to question?

Those calls are learned by watching someone good make them and hearing why. A mentor gives a new reviewer that access, at the moment it matters, on their own queue.

How does mentoring work in practice?

For new agent reviewers, effective mentoring tends to be structured lightly:

• Paired review. For the first weeks, mentor and mentee look at the same held items and compare decisions.
• Weekly half-hour. The mentee brings the three items they found hardest.
• Shared language. The mentor names the bound, the source and the provenance class every time, so the mentee learns to think in those terms.
• A clear end. Mentoring for review usually tapers once the mentee is certified and making decisions alone.

A training calendar should block time for both people. Mentoring that has to fit around a full queue does not happen.

What does mentoring look like in a real team?

Take an insurer onboarding a new claims handler to a workspace where an agent drafts settlements. She completes her course in the first week and is paired with a senior handler. Over three weeks they review the same held items. The senior handler notices she accepts any figure from a repair estimate, even one sent by email. He explains why that is external and what to check instead. By the time she is certified, she checks provenance by habit. The rest of her onboarding is in onboarding a new claims handler to an agent workspace.

How is mentoring different from coaching?

Coaching is usually shorter and focused on a specific skill or goal, and the coach need not do the same job. Mentoring is longer, broader and relies on the mentor's own experience of the work. For agent oversight, a coach might help someone improve their approval accuracy; a mentor shares how an experienced reviewer thinks about the whole queue.

Mentoring also differs from supervision. A supervisor checks work and holds authority; a mentor advises and has none over the mentee's decisions.

Which related terms should you know?

• Adoption curve: early adopters of agents often make good mentors for later ones.
• On-the-job training: learning while doing real work, which mentoring supports.
• Calibration: aligning reviewers' decisions, which paired review builds.

Mentoring time is a real cost; the costing pieces for logistics companies and contact centres both include it. For the full approach, see training teams for AI agents.