Training & coaching / hands-on learning

Leave with examples
you can use
on your work.

Practice your role-specific tasks in Copilot, ChatGPT or Claude. Leave with reusable prompt examples, reviewed practice outputs and a clear method for checking AI work before you use it.

Find the right training →
Available features and licenses checked before materials are finalized.
THE LEARNING EXPERIENCECONCEPT / 02
01
Bring an approved task

A document, question or everyday workflow

↓
02
Practice in your AI tool

Context · instructions · useful iterations

↓
03
Check what comes back

Sources · missing details · human judgment

Supervised practice.No guaranteed proficiency.
Need a smaller starting point? Ask about a scoped pilot for one team, one approved recurring workflow and two practice examples. Participant count, session length, tool access and follow-up are confirmed in writing before booking; a pilot is quoted separately from the packages below.
A concrete learning deliverable

Practice it once.
Check the second example.

Agree the task rubric before the session. Record what passed and where more practice is needed, rather than treating attendance as proficiency.

Before the session

A named sponsor, confirmed tool access and safe examples. A short workflow-specific lesson prepared around the required output.

During practice

Two approved or clearly synthetic inputs, guided use of the AI tool, reviewed outputs and a reusable prompt with a checking method.

After practice

A concise outcomes note showing attempted examples, rubric results, issues and a next practice action. One scheduled follow-up touchpoint is proposed within the agreed pilot scope.

Acceptance check: required content present, claims checked against input, omissions or uncertainty flagged, and human approval completed. Preserve mixed results honestly.
Choose your starting point

Take useful examples
back to your work.

FOCUSED AI LAB

Start with one or two workflows.

Work through one or two agreed tasks in the AI tools your team actually has.

What you receive
  • Prompt examples tailored to the selected tasks
  • Practice outputs and source-checking exercises
  • A repeatable review method to use after the session

$1,250

Session scope is agreed before booking.

EXPANDED AI LAB

Work across four to six workflows.

Work through four to six agreed tasks, with more room to compare approaches across roles.

What you receive
  • A broader set of task-specific prompt examples
  • Reviewed practice outputs across the selected workflows
  • Guided comparison of what works, what fails and what needs review

$5,000

Tools and approved examples are confirmed first.

What practice looks like

Ask. Try. Check.
Explain your decision.

Illustrative exercises, adapted to the tools learners actually have. These illustrative exercises use approved or synthetic information, not published client data.

COPILOT

Work with
your Microsoft tools.

Practice an approved writing, document or spreadsheet task, then compare the output against the source.

CHATGPT

Give the task
useful context.

Build a clear request, revise an answer and identify which statements still need verification.

CLAUDE

Review a document
with a critical eye.

Practice asking focused questions and checking the response against approved source material.

Training builds skills. It excludes production automation, tenant configuration, security-policy changes, custom integrations, license purchases and unlimited follow-up. The client retains its accounts, data approvals and routine operation.
For your own work

AI Personal Assistant
Coaching Pack

A live setup session and two follow-ups around your role and how you work.

$2,500
Scope and scheduling are confirmed before booking.
Keep practicing

AI Lab
follow-up program

Three practice sessions and an observed skills report.

$2,500
Scope and scheduling are confirmed before booking.
Organization-wide and ongoing advisory options

For broader needs, explore The Enterprise, from $15,000, or Fractional Advisor, from $7,500 per month. An executive briefing can be scoped as training. Scope, availability and engagement terms are confirmed before booking.

What will learners be able to demonstrate?

We agree on practical checks: complete the selected task, identify unsupported output and explain what needs human verification. No guaranteed proficiency or savings.

Need a working system rather than a session?

Explore AI Automation Lab → for a separately scoped implementation.

Prefer self-paced learning? Explore the AI toolkit. Visual-service work is offered separately from training and automation.
Start with the work

Bring the problem.
You don't need the plan.

Talk through your next step →