(Insights)
AI for business,
without the hype
Field notes from operating AI departments: what works after the pilot, how to govern it and how to choose a delivery model.
- Operating model
- Strategy
- Governance
- Commerce
- 5 articles
(02)All articles
Operating models,
governance & strategy
Written for leaders deciding how AI should run inside their company.
· 5 min
Why AI projects stall after the pilot (and who should keep them alive)
Most AI pilots never reach production. See why projects stall after the pilot, from missing owners to model drift, and who should keep them running.
Read· 5 min
The AI adoption expectation gap: why results lag behind the promise
Why AI results arrive later than leaders expect, and how to close the gap with realistic milestones, process readiness, data work and change management.
Read· 5 min
AI governance for mid-size companies: a practical starting model
A practical AI governance model for mid-size companies: committee, usage policy, data segregation, audit trails, human checkpoints, continuity and culture.
Read· 5 min
Agentic commerce: how to prepare your catalog for buyers who shop through AI
How to prepare a product catalog for AI shopping agents: structured data, complete attributes, machine-readable policies, fresh prices and stock, new metrics.
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