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Playbook · AI transformation · 8 steps

AI transformation 2: Making the enterprise AI-ready

Fix the fragmented knowledge, duplicated data and opaque integrations that stop AI delivering.

“Analytical data provided by the domains must be treated as a product, and the consumers of that data should be treated as customers…”

Start with step 1 All 75 models for strategy
  1. 1Capability MappingWhich capabilities change most when AI does the work, and which systems support each one?Describe what the business does, independent of how, by whom, or with which system.Open
  2. 2TIME Portfolio TriageWhich applications do we retire before we teach an agent to work around them?Sort each application by business value and technical quality into Tolerate, Invest, Migrate or Eliminate, and fund it accordingly.Open
  3. 3Data as a Product (Data Mesh)Is each domain's data owned, findable and trustworthy enough for a machine to use without asking a person?Domains own and publish their data as products, discoverable, addressable, trustworthy and self-describing, instead of a central team piping everything into a lake.Open
  4. 4Ubiquitous LanguageDo our key business terms mean one thing in each context, written down where an AI can read it?Use one vocabulary, shared by domain experts and developers, in conversation, documents and code alike.Open
  5. 5Context EngineeringCan the right knowledge reach the model at the moment it needs it?A model's context window is a limited budget; curate the smallest set of high-signal tokens it needs for the task.Open
  6. 6Machine-Usable InterfacesCan an agent do this through a documented, permissioned interface, or only by clicking a screen?AI agents can only automate what they can reach, so expose business capabilities as documented, permissioned, stable interfaces rather than screens built for people.Open
  7. 7Anti-Corruption LayerHow will agents use legacy systems now without locking their quirks into the new design?Protect your domain model by translating at the boundary with systems whose models you don't control.Open
  8. 8Data GravityWill the AI run where the data lives, or will we spend the budget moving data?Data attracts applications, services, and more data — and the bigger it gets, the harder it is to move.Open