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Lead an AI Transformation That Works
New
Lead an AI Transformation That Works
A governed, evidence-led method for your first 90 days of AI, taught step by step from AI Don’t Fix Stupidity
Created byMagnus Oxenwaldt
Last updated 10/2026
English
English
What you'll learn
- Diagnose AI readiness across eight dimensions with evidence, and spot the one blocking dimension an average hides
- Find the first capability worth building, using three prioritisation lenses and a named outcome owner
- Turn the Six Shifts into a target operating model and investment assumptions a finance director can test
- Design governed architecture: five context layers, one control plane, and tool permissions matched to consequence
- Run an AI Factory sprint around one process, from simulation to an evidence-backed deployment decision
- Extend reach safely with Customer Zero, earned autonomy and a rollback plan that works on a bad day
- Lead the people side: diagnose resistance, redesign roles as bundles of tasks, and pace change to what teams absorb
- Measure adoption, value and Time to Value honestly, then defend your first 90 days in front of a board
Explore related topics
Course content
12 sections • 63 lectures • 17h 18m total length
Requirements
- Experience of at least one real business process, and the standing to propose improvements to it.
- No coding, no data science background and no paid AI account needed.
- No need to own the book. If you cannot use information from your own organisation, a synthetic case is supplied for every exercise.
Description
This course contains the use of artificial intelligence.
Most AI programmes do not fail on the technology. They fail on processes nobody has mapped, data nobody owns, controls nobody can enforce and plans nobody can defend in front of a board. This course teaches a method that avoids those failures, one instrument at a time.
This is training, not a reading of the book. Every lesson takes one idea and teaches it slowly:
a plain definition, with a test you can carry into your next meeting
an everyday analogy, so the idea sticks
a worked example from Norvik, a fictional Nordic home-furnishings retailer
the mistakes people commonly make, and how to spot them
a practice decision, with time to pause and think before the answer
the same idea applied in a second, different industry
an exercise you apply to your own organisation, with a self-check
Over twelve modules and sixty lessons you build a complete, defensible plan for your first 90 days: an honest readiness diagnosis, a first capability chosen for the right reasons, a target state and its investment case, a governed architecture, a deployment gate, a delivery rhythm, a path from internal use to wider reach, a people plan, and the measures that show whether any of it worked. The final module asks you to defend that plan the way a sceptical board would test it, and to revise it when the evidence changes.
You will get a workbook, knowledge checks for every module and a capstone evidence packet. The book AI Don't Fix Stupidity is included as a companion resource for the lessons it underpins.
Norvik, its people and every Norvik number are invented for teaching. They show the method working. They are not a promise of what AI will deliver for you. Take the method, not the numbers.
How this course was made: the instructor wrote the book it is built on and set the teaching standard every lesson follows. The narration is an AI voice made from the instructor's own voice, with his authorisation. Lesson scripts and slides were produced with AI assistance, and the slides reuse figures from the printed book.
Who this course is for:
- Business leaders asked to deliver results with AI, not just experiments
- Transformation owners, programme managers and AI enablement leads
- Function heads in operations, customer service, finance, supply chain and IT who will carry AI into their own teams
- Consultants and advisers who need a method they can defend in front of a client's board