Most AI pilots stall on adoption, not technology — the tool works fine in a demo, but the team never fully changes its actual workflow, so usage quietly drops off within weeks. Common causes are unclear ownership of the new workflow, no training beyond a single kickoff session, and no way to measure whether the tool is actually being used.
Pilots that stick usually have a named owner, a defined workflow the tool slots into rather than sits beside, and a short feedback loop to fix friction fast. Treat the first month as change management, not a technology rollout, and revisit adoption numbers weekly rather than assuming a good tool sells itself.