AI Training

Generic AI training teaches people to write a haiku and a marketing headline. Neither is anyone's job. Our sessions run against the company's own material, so a person leaves having already done a real task faster than they did it that morning.

Sessions are built per team, because what a claims processor needs to know and what a controller needs to know share almost nothing beyond the login screen. We sit in on the work first, pick the tasks worth changing, and build the session around those.

Everyone leaves with a prompt library written against real documents, and the library is checked into somewhere the team can edit. Training that lives in a slide deck is forgotten by the following week.

// what you get

What's included.

  • Role-specific sessions, built after watching the work rather than before
  • Hands-on practice on the team's own documents and tasks
  • A prompt library the team owns and can add to
  • Guidance on what the tools get wrong and how to catch it
  • Short refreshers as the tools change, rather than one large session that ages
  • Material for the people who join after the rollout is over
// where it fits

The situations this is usually bought for.

New hires arriving after the rollout

The original training was a one-time event and everyone since has been left to work it out. A standing session and a written library close the gap.

A team producing confidently wrong output

People trust the answer because it reads well. The session is about verification: which claims need a source, and how to make the tool show its work.

Leadership that wants to sponsor the change credibly

A separate session for managers on what the tools can and cannot do, so they stop promising outcomes their teams cannot deliver.

Light tracing connections across a dark surface
// say hello

Tell us what you are trying to fix.

Discovery calls are free and usually last 30 minutes. We listen first, and we will tell you honestly if ai training is the wrong thing to spend money on.