From AI strategy to AI execution: closing the implementation gap
Most enterprise AI strategies look compelling on slide decks. They reference foundation models, multi-agent systems, and 3–5 year transformation roadmaps. Then they meet the enterprise.
This whitepaper is about the implementation gap — the distance between an AI strategy that sounds right and an AI programme that delivers results.
What’s inside
Here is a glimpse of what this whitepaper covers.
- •The seven most common failure modes in enterprise AI programmes — and the early warning signs
- •How to structure AI investment for learning velocity, not just delivery output
- •The data readiness assessment every enterprise should complete before committing to a large AI programme
- •Building internal AI capability versus buying external AI capacity: a decision framework