Put AI value management to work
How to do it in the real world
Start here if you want to act: measure what AI fully costs, prove what changed, decide what to scale, hold, redesign or stop, and run it as a routine. Every template has a worked example and says what it cannot do. No specialist platform is needed to begin; a spreadsheet and an owner are enough. If you want the reasoning behind any of it, the Understand section explains it.
Start here
A week-by-week first month inside a hundred-day plan, and the toolkit that supports it.
Guide
The First 100 Days of AI Value Management
How to start AI value management: a week-by-week first month, then a plan to a first portfolio review, board pack and operating model in 100 days.
Toolkit
All templates and tools
Registers, ledgers, review and board packs, a calculator and more, by phase of the system.
The four phases
Each phase answers one question and ends in something you can use.
Phase 1
Measure
What does AI fully cost, where is it consumed, and who owns it?
Phase 2
Prove
What changed because AI was used, and how strong is the evidence?
Phase 3
Decide
Given the economics and the evidence, what should be scaled, held, redesigned or stopped?
Phase 4
Operate
Who owns each part, how often is it reviewed, and what reaches the board?
Run it as a routine
Who owns what, how it is reviewed, and what reaches the board.
Operating model
Operating model
Who owns which part of AI economics, and how FinOps, TBM, ITFM and SPM contribute.
Guide
Who Owns AI Economics? A Federated Operating Model for Cost, Value and Control
Nobody owns all of AI economics. A federated operating model that connects the roles already holding each part, with a RACI for fourteen recurring decisions.
Template
The AI Value Office Charter
A charter template for the small team that joins up AI cost, evidence, governance and portfolio decisions: mandate, roles, decision rights and review cycle.
Template
The AI Board Reporting Pack
A board pack, one-page dashboard, audit committee supplement, decision memo and question bank for governing AI investment, value and risk. Word template.
Learn from worked cases
Four illustrative cases, one for each decision. Every figure is invented.
Cases
Decision cases
Scale, hold, redesign and stop, each following cost, consumption, outcome, evidence and decision.
Case file
Case: Contract Review Assistant (Scale)
Illustrative case. A holdout comparison showed contract review assistance cleared its quality floor and turned most claimed value into booked savings. Scale.
Case file
Case: Customer-Service Agent Pilot (Stop)
Illustrative case. An autonomous service agent pilot had no owner, no baseline and a vendor-demo benchmark. Decision: stop and keep what is reusable.
Want the reasoning first?
The argument, the evidence and the models behind the method.