AI Execution Readiness Check

1. How often are AI tools, automation, or new systems introduced before the underlying workflow is redesigned?

Detect whether the organization is adding capability faster than it is redesigning work.

Choose one We do not see this Occasionally, but not consistently Recurring enough to affect execution This is now part of how work gets done

2. How often does the documented process differ from how work actually gets done day to day?

Surface workflow blindness, exception debt, and shadow operating systems.

Choose one We do not see this Occasionally, but not consistently Recurring enough to affect execution This is now part of how work gets done

3. How often does work move forward only because someone chases updates, reconciles status, or manually coordinates handoffs?

Identify invisible coordination load that systems and dashboards do not show.

Choose one We do not see this Occasionally, but not consistently Recurring enough to affect execution This is now part of how work gets done

4. When work crosses teams, tools, or exception states, how often does ownership become unclear?

Test whether accountability survives real execution conditions.

Choose one We do not see this Occasionally, but not consistently Recurring enough to affect execution This is now part of how work gets done

5. How often do unresolved cross-functional or AI-assisted issues escalate to leadership because the normal path cannot resolve them?

Detect decision-rights gaps and escalation overload.

Choose one We do not see this Occasionally, but not consistently Recurring enough to affect execution This is now part of how work gets done

6. How often do reports, dashboards, or AI outputs look plausible but conflict with what operators know is true?

Surface data trust, semantic, and source-of-truth problems.

Choose one We do not see this Occasionally, but not consistently Recurring enough to affect execution This is now part of how work gets done

7. How often are systems technically connected but teams still manually reconcile records, status, or meaning?

Separate technical integration from operational alignment.

Choose one We do not see this Occasionally, but not consistently Recurring enough to affect execution This is now part of how work gets done

8. How often do formal governance rules exist, but real decisions, exceptions, or AI-assisted work happen outside those controls?

Detect the gap between policy and runtime control.

Choose one We do not see this Occasionally, but not consistently Recurring enough to affect execution This is now part of how work gets done

9. How often does more reporting, AI analysis, or dashboard visibility create more discussion than decisions?

Identify signal overload and weak decision architecture.

Choose one We do not see this Occasionally, but not consistently Recurring enough to affect execution This is now part of how work gets done

10. How often do leaders review metrics without clear ownership for what changes next?

Detect visibility without accountability.

Choose one We do not see this Occasionally, but not consistently Recurring enough to affect execution This is now part of how work gets done

11. How often do teams manually verify, reinterpret, or bypass AI or automation outputs before acting?

Measure adoption friction caused by weak trust and verification paths.

Choose one We do not see this Occasionally, but not consistently Recurring enough to affect execution This is now part of how work gets done

12. How often do pilots or automations look successful in controlled settings but become unstable during real rollout?

Detect production readiness gaps before scaling.

Choose one We do not see this Occasionally, but not consistently Recurring enough to affect execution This is now part of how work gets done

13. How often does AI make work look faster while reducing the team’s understanding, judgment, or ability to troubleshoot?

Surface hidden loss of internal capability and operating judgment.

Choose one We do not see this Occasionally, but not consistently Recurring enough to affect execution This is now part of how work gets done

14. How often are processes optimized or automated before leaders fully understand workflow logic, exceptions, or side effects?

Detect optimization that outruns comprehension.

Choose one We do not see this Occasionally, but not consistently Recurring enough to affect execution This is now part of how work gets done

15. How often do local AI or process improvements help one team while creating inconsistency, rework, or friction elsewhere?

Identify local wins that damage system-level performance.

Choose one We do not see this Occasionally, but not consistently Recurring enough to affect execution This is now part of how work gets done

16. How often do teams believe a dependency is covered because a tool, vendor, or integration exists, only to discover the real dependency is still human?

Detect hidden operational dependencies masked by tooling.

Choose one We do not see this Occasionally, but not consistently Recurring enough to affect execution This is now part of how work gets done

17. How often would execution slow down significantly if a few experienced people were unavailable for two weeks?

Reveal tribal knowledge, memory loss, and continuity fragility.

Choose one We do not see this Occasionally, but not consistently Recurring enough to affect execution This is now part of how work gets done

18. How often does leadership messaging about AI progress feel more confident than the operational reality teams experience?

Detect the gap between AI narrative and execution readiness.

Choose one We do not see this Occasionally, but not consistently Recurring enough to affect execution This is now part of how work gets done