Strategy & readiness
Evaluate opportunities, inspect readiness and choose an intervention grounded in the work.
Work toward: A prioritized direction with clear ownership, prerequisites and a bounded next step.
Explore strategy & readiness →AI TRANSFORMATIONChoose the right use case.
Choose the right use case.
Put it to work.
Connect AI to the business problem, the systems behind it and the people who will use it. Define a useful change, evaluate it against the work and prepare your team to operate it.
5 CONNECTED SERVICES
Start where the work needs help.
Choose the service that fits the current need. Scope and acceptance are agreed around the outcome, rather than a fixed bundle.
Pilots & implementation
Design, integrate and evaluate a bounded solution with acceptance and handover made explicit.
Work toward: A scoped solution and evidence to decide whether to proceed, refine or stop.
Explore pilots & implementation →AI workforce engineering
Design human–AI responsibilities, worker boundaries, evaluation and governed operation.
Work toward: An engineered workforce design, worker specifications and evidence for a controlled operating decision.
Explore ai workforce engineering →Governance & assurance
Connect ownership, policy, data boundaries, evaluation and operating evidence.
Work toward: A usable governance approach tied to the actual AI use cases and their consequences.
Explore governance & assurance →Adoption & enablement
Prepare leaders, workflow owners and users to adopt, review and improve AI-enabled work.
Work toward: A practical adoption approach with role-based learning, usable guidance and measures tied to the work.
Explore adoption & enablement →Define the next useful decision.
Start with one workflow, decision or capability that needs to improve.