From Hype to Habit: An Operating Model For AI That Lasts - Hardcover

Inhaltsangabe

Your organisation has invested in AI. The pilots have shipped, the dashboards look healthy and the board is satisfied. So why has so little changed about how the business actually runs?

Most enterprise AI does not fail loudly. It fails quietly. The assistant runs, produces output and simply goes unused. Research from MIT, McKinsey, BCG and others keeps arriving at the same place: the gap between adopting AI and getting value from it is about how the organisation works, and better tools alone will not close it.

From Hype to Habit is the operating manual for leaders who are past the demo stage and now need AI to deliver. Written by practitioners who build and run AI programmes inside real businesses, it sets out FLAIR, a five-phase operating model in which each phase deals with a failure the previous one cannot fix.

1. Foundation. Get data, ownership, process, governance and capability ready before anything is built.
2. Leverage. Pick the few use cases worth doing, and have the discipline to drop the rest.
3. Activation. Move an assistant from production-ready to part of the daily work.
4. Iteration. Run AI as a product, so it does not quietly degrade by month four.
5. Realisation. Reach the point where AI is simply part of how the business operates.

Three further chapters cover the places enterprise AI most often comes apart: governance and risk, workforce change, and measurement. They tackle who is accountable when AI gets it wrong, what really happens to people’s workloads, and why most AI return-on-investment figures flatter the programme.

The book follows Marlow Partners, a composite 400-person professional services firm drawn from real client engagements, through eighteen months of putting the framework to work. It closes with a toolkit that includes a readiness scorecard, a use case prioritisation matrix, an ROI calculator and a measurement scorecard, each ready to take into the office.

For CEOs, COOs, CIOs, transformation leaders and functional heads who own the AI budget and answer for its results, this is the book that turns AI from a project into a habit.

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