Running AI as a P&L: The Value Realization Framework
The flagship leadership course: turn AI ambition into measured, risk-adjusted value. Learn the Value Realization Framework (VRF) the way operators use it — score AI maturity, run AI as a P&L that nets the downside (the drag most business cases ignore), and make defensible fund/kill/sequence/de-risk calls. Taught through three running cases — a sales copilot, an AI marketing engine, and an AI finance tool — where the project that looks best on paper turns out worst once you price its drag. For leaders, function heads, PMs, and transformation & AI leads. You leave with a shareable AI Value Brief you can run on your own portfolio.
"We stopped guessing at AI ROI: we score maturity, run every initiative as a risk-adjusted P&L that nets the drag, and fund the AI that actually pays — with a value brief the board trusts"
6 Interactive Sessions
Short, interactive sessions: watch it work, try it, then build it yourself. You can go deeper at any time in the written chapters.
- 1
Score AI maturity before you fund AI
Before you fund an AI project, find out where the organization really stands: how much value it can create with AI, and how much of that value it is likely to lose.
- 2
Aim each AI project at money, on a timeline
Every AI project should name the money it moves, the lever it pulls and when the value arrives. Without those three, nobody can size it, put it in order or check later whether it worked.
- 3
Build the AI P&L: subtract the downside
Run each AI project as a P&L that takes away what many business cases leave out: the people who will not use it, what it costs, and the errors, liability and waste it brings. The project that looked best can end up last.
- 4
Place the portfolio and pull the maturity lever
Decide with two measures: how much value a project keeps, and how exposed it is. Then see that raising control maturity makes the same project worth more, which makes spending on controls a value decision.
- 5
Make the call, set the roadmap, and measure it
Turn the analysis into decisions and a habit: a clear call on each project, a roadmap in a sensible order, the metrics that show early whether it is working, and a review every quarter.
- 6
Put it together: your AI Value Brief
Bring every piece of the course together on one page that a board can trust, and then plan the same work for your own AI projects.
Skills you'll practise
Practice data included
- AI maturity scorecard (Readiness / Exposure)
- Risk-adjusted AI P&L model
- Three worked case P&Ls: sales · marketing · finance
- AI Value Brief template
How this certificate is scored
Your certificate shows how many of your written answers met the rubric below, checked by an AI grader. Anyone who checks your certificate sees it.
- You answer 6 short questions, one for each module, in your own words (at least 40 words each).
- An AI grader checks each answer against what its module asks for: it must answer the question, use the course's practice case specifically, and be correct.
- To pass, at least 5 of the 6 answers must meet that bar. The certificate says the answers were graded by AI.
The rubric
- Module 1, Score AI Maturity: Read an org on Readiness vs Exposure; capability vs control.
- Module 2, Aim — Goals & Value Levers: Tie AI to top-line, productivity, and margin across three horizons.
- Module 3, The AI P&L — Net the Drag: Build risk-adjusted P&Ls; watch gross value flip to net.
- Module 4, Architect — Prioritize the Portfolio: Rank on value × exposure; pull the maturity lever.
- Module 5, Activate & Account — Roadmap & the Call: Sequence, instrument, and make the fund/kill/sequence/de-risk call.
- Module 6, Put it together: Your AI Value Brief: Assemble the full VRF into a board-ready value brief.
What you walk away with
Shareable portfolio
A public URL showing your module timeline, patterns mastered, and completion status.
Everything you build
Download all your work as a ZIP file. It is yours to keep.
Module walkthrough
Each module documented with deliverables and the production pattern you implemented.
Ready to start Running AI as a P&L: The Value Realization Framework?
First course free. $20 per course after that.