AI Strategy Articles
Expert insights and practical guidance on ai strategy from the #sharp team.
Why AI agents fail without the right data foundationBy The #sharp Team • June 11, 2026
Most agent projects stall or get switched off within months, and the cause is rarely the model. It is the data underneath. Why fragmented, stale, conflicting and undocumented data breaks AI agents — and the foundation to build first.
How to make your AI project one that actually pays backBy The #sharp Team • June 8, 2026
Most pilots stall in the gap between a demo that impresses and a system people use. The firms pulling ahead avoid a handful of predictable traps.