AI Adoption Arc.
The five-stage curve every organisation moves through when adopting AI. With clear behavioural signals for each transition.
Five stages. Five sets of signals.
Every organisation adopting AI moves through the same five stages — but most leaders cannot see the transition until they have already crossed it. The Arc names the five stages and lists the behavioural signals that indicate the leader is moving from one to the next.
Five stages. Each one with its own signals.
Denial
AI is hype. The team is doing fine. Signals: vendor calls dismissed, pilots blocked, leadership tone of caution.
Pilot
One small experiment. Signals: a champion emerges, a budget is carved, a use case is named.
Integration
AI quietly embeds in workflows. Signals: cross-functional adoption, new vocabulary, vendor consolidation.
Dependency
The team cannot work without it. Signals: outage panic, model-cost line items, capability atrophy.
Redesign
The team works with AI as colleague, not tool. Signals: role redesign, calendar redesign, headcount redesign.
Three anonymised cases.
Pharma R&D moving from pilot to integration
Arc surfaced the leader was 6 months behind where she thought. Integration plan accelerated.
Integration completed 4 months ahead of revised plan.
IT services hitting dependency without redesign
Leader recognised dependency stage. Redesign sprint launched before capability atrophy set in.
Three roles redesigned. Two new roles created. No layoffs.
BFSI stuck in denial despite competitor pressure
Arc made the denial stage visible to the leader for the first time. Pilot launched within 30 days.
First production AI deployment within 9 months. Cycle time cut by a third.
Cases anonymised by sector and seniority. Numerical outcomes are exact and locked in the engagement scorecards.
RE:CODE™ integration.
AI Adoption Arc runs inside RE:CODE™ Step 1 (Diagnose) — to locate the organisation on the curve before any AI intervention is designed.