AI Operations Readiness

We map trustworthy sources of truth first — routers, BOMs, routers’ exceptions, escalation paths — because models inherit your administrative reality.

We articulate ownership across IT + ops plainly — RACI aligned to how Mondays actually behave, not how org charts fantasize.

We constrain pilots to measurable choke points — quality holds, bottleneck relief, quoting discipline — bounded by conformance expectations.

Human-in-loop expectations for deviations that imply compliance consequence or contractual exposure.

Logging and versioning discipline so auditors or customers can reconstruct decisions without improvisation.

Training cadence pacing that respects supervisory span — avoids turning operators into brittle prompt-chasers overnight.

Executive curiosity without internal patience for unmanaged experimentation risk.

Multiple parallel “AI pilots” collapsing into contradictory truths — escalating noise instead of throughput.

Procurement/legal unease unresolved — deserving translation into workable controls instead of indefinite deferral.