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AI Consulting

AI Tutoring and Workshops

Your people learn to work with AI on their own tasks, with their own tools, taught by the engineers who build it. Developers, business teams and leadership, each on their own track.

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Everyone has an assistant, few know what to do with it

A new model every month, tutorials about someone else's work, slides that change nothing on Monday. Five people use the tools five ways, and nothing is shared.

CH.01 · The problem

Everyone has an assistant. Few know what to do with it.

  1. Too much to read, none of it yours

    A new model every month, a hundred tutorials, none of them about your invoices, your code base or your contracts. People stop reading.

  2. A course is not a skill

    Slides about prompting do not change what a person does on Monday. Skills come from doing the task with someone who has done it.

  3. Five people, five ways

    One developer uses agents for everything, another for nothing. Finance has a prompt that works and nobody else has seen it. Nothing is shared and nothing is standard.

Our answer

Taught on your tasks, by people who build

Workshops and tutoring run by our engineers, on your tools and your work. Developers learn to code with agents against your standards. Business teams learn to work inside the assistant. Leadership learns what to decide and what to govern.

CH.02 · What we build

What we teach

Three layers, each track picks the ones it needs.

Workshops with your work on screenTutoring for the ones who carry itLearning by shippingA whole team at one level
01

Foundations

What these systems do and where they fail.

  • How a model answers, and why it invents
  • What retrieval, agents and fine-tuning are for
  • Where data goes and where it may not
  • What to trust, what to check, what to refuse
  • The vocabulary the whole company will share
02

Practical skills

The work, done with the tools.

  • Developers: coding with agents against house standards
  • Business teams: working inside the assistant with the skills it carries
  • Writing a task the assistant can do reliably
  • Reviewing an AI output before it leaves the team
  • Building one automation and keeping it running
03

Strategic application

For the people who decide.

  • Which processes to hand to AI and which to keep
  • Positioning: what the company says and does with AI
  • Governance: who may use what, with what data
  • Measuring an AI project, and stopping one
  • Budgeting in phases with gates
CH.03 · How it runs

How it runs

Four stages, each track at its own depth.

  1. 01Phase 1

    Foundations

    One session for everyone on the track.

    • How the models work and where they fail
    • The company's rules on data and tools
    • The assistant your teams use, opened together
  2. 02Phase 2

    Technical skills

    Hands-on, on your tools.

    • Developers: agents in the repository, house standards
    • Business teams: skills inside the assistant
    • Each person builds one thing that works
  3. 03Phase 3

    Strategic application

    Leadership, in a workshop.

    • Rank the processes to hand to AI
    • Decide positioning and what the company will say
    • Set the governance rules and who owns them
  4. 04Phase 4

    Practical implementation

    Tutoring while the first things ship.

    • Weekly sessions with the people carrying the work
    • Review what they built and what broke
    • Extend the skill or automation together
CH.04 · What changes

What changes

People who use the tools well, on the same footing, and something running by the end.

Skills, in use

Every track ends with something in production: a skill, an automation, a rule. The learning is visible in the work.

One standard across the team

The same practices for reviewing outputs, the same rules on data, the same vocabulary. New joiners learn from the team instead of from the internet.

Less dependence on us

The people we tutor become the ones who teach. What we built keeps growing after we leave.

Side by sideSelf-taughtWith us
SpeedMonths of reading, uneven resultsDays of sessions, something running at the end
ExercisesSomebody else's examplesYour documents, tickets, code
FitGenericYour tools, your data rules, your standards
Help when stuckA forumThe engineer who built it, in the room
ResultA certificateA skill or automation in use
CH.05 · Questions

Questions

None for the foundations and business tracks: they start from the assistant your teams already have. The developer track assumes people who code daily. The leadership workshop assumes people who decide budgets and processes. We mix levels only within a track, never across them.

Every exercise is real work, and every track ends with something in use. In the practical stage we tutor the people carrying the work weekly while they ship, and we review what they built and what broke. Skills that are not used by then were not the right ones to teach.

It has to be. The exercises come from your documents, your systems and your rules on data, collected before the first session. A workshop for a claims team and one for a manufacturing planning team share the foundations and little else.

Workshops are half-day or full-day sessions, on site or remote, for a track of up to a dozen people. Tutoring is weekly, one-to-one or in small groups, for the people who will carry the work. A full programme for a company typically runs a few weeks; the scope and the price are fixed before it starts.

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