[ The approach ]

Built like an academy. Accepted like a deliverable.

Cohorts do not watch AI demonstrations. They build working skills on their own workflows, accepted only when they perform on examples the firm provides.

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The method

The five part skeleton.

Taught in workshop one. Applied to every skill. Used as the debugging tool when a skill misbehaves.

Role

Who the skill is. An accountant, not a chatbot.

Context

Documents attached, never paraphrased.

Steps

Written like training a new joiner.

Output contract

Show workings. Never a bare number.

Check

Reconcile, flag INVESTIGATE, never guess.

Workshop mechanics

Demo. Build. Debrief.

Step 1

Demo

Live, on your own artefacts. Not slides.

Step 2

Build

Every participant builds. Floor version for first timers, extension for fast finishers.

Step 3

Debrief

Participants present their own workings. The review habit starts here.

Plus one deliberate planted failure per workshop, debugged live by walking the skeleton.

Data discipline

Synthetic until cleared.

  • Consistent fake figures, never blanked cells
  • Fictional, for training footer on every artefact
  • Runs inside your firm's own AI environment
The acceptance bar

Skills are accepted, not just taught.

The governance posture

The skill prepares and verifies. The analyst reviews and signs off.

Each skill is accepted when it performs on your firm's examples, one revision round included.

Who teaches

Trainers who have worked where you work.

QualifiedBachelor and Master of Science degrees
Experienced10+ years in AI and data-intensive fields
Domain groundedDelivery inside regulated industries

See it on one of your own workflows.

20 minutes. Bring one monthly workflow. No obligation.

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