7 min read
Why AI Pilots Stall and How to Operationalize Them
Pilot success is common. Production success is rare. The gap is usually operating model design, not model capability.
Failure mode 1: No governance model
Without clear controls for privacy, security, and human review, teams can experiment but cannot scale safely.
Failure mode 2: Tool sprawl
Ad-hoc tools create inconsistent workflows and low repeatability. Consolidate into a role-based standard workflow with guardrails.
Failure mode 3: No KPI ownership
Assign explicit owners for outcomes tied to speed, quality, and release confidence. Adoption alone is not value.