Framework

AI Adoption Framework

Four stages for building useful AI capability while retaining human boundaries, monitoring, and accountability.

AI adoption is an operating capability, not a one-time technology purchase. The Framework helps teams move from shared understanding to routine use while keeping governance present at every stage.

Each stage asks the same core questions at a different level of maturity:

What work may be delegated?
What boundaries and evidence are required?
What must be monitored?
Who can intervene and who answers for the result?

Organizations do not need to advance every workflow at the same pace. A team can operate one bounded workflow reliably while another remains in early exploration.

Stage 1

Awareness

Build shared understanding, name ownership, and define where AI exploration is appropriate.

Stage 2

Exploration

Set boundaries and run a measurable pilot with foresight, review, and a named owner.

Stage 3

Integration

Connect a proven workflow to real systems while preserving controls, intervention, and answerability.

Stage 4

Operationalization

Operate AI-enabled work with continuous monitoring, intervention, review, and accountable ownership.