Why Your AI Agents Keep Failing in Production
40% of agentic AI deployments will be cancelled by 2027. The problem is not the agents. It is the architecture they are deployed into.
How humans lead AI transformation — roles, trust, and behaviour change.
40% of agentic AI deployments will be cancelled by 2027. The problem is not the agents. It is the architecture they are deployed into.
Models got better. Context windows grew. Tools multiplied. None of it matters if your people still treat AI like a personal hack instead of an enterprise resource.
77% of employees fear AI will take their jobs. 68% want their employer to adopt more AI. The gap isn't training — it's that nobody has told them what their new role actually is.
Employees are 3x more likely to use GenAI than their leaders expect. The tools have diffused faster than the operating model has adapted. Here's why people — not technology — are the biggest AI bottleneck.
Most enterprise agent programmes stall not because the models underperform, but because nobody trusts them enough to let them operate. Trust is a systems engineering problem, not a training problem.