Where is AI acceleration creating hidden execution drag?

1. How often does execution still feel slower or more effortful than it should, even after adding AI tools, automation, or better reporting?

Open with executive recognition of visible execution drag without asking for a diagnosis.

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?

Detect workflow blindness 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. When work crosses teams, systems, or exception states, how often does ownership become unclear?

Surface accountability breakdown in cross-functional execution.

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. How often do teams manually verify, reinterpret, or bypass AI outputs before they are willing to act?

Detect trust collapse and hidden verification overhead.

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 AI pilots or automation efforts look successful in controlled settings but become unstable during real operational rollout?

Detect contained-demo success that fails against production complexity.

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 formal governance rules exist, but real decisions, exceptions, or AI-assisted work happen outside those controls?

Detect governance without 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

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

Detect decision starvation under increased signal volume.

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 does execution depend on a few experienced people quietly translating, correcting, or holding workflows together?

Surface invisible glue work and concentrated human dependency.

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

Detect local optimization that damages systemic execution.

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 does AI make work look faster while reducing the team's underlying understanding, judgment, or ability to troubleshoot?

Detect hidden capability erosion behind productivity gains.

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 ambiguous AI-assisted or cross-functional issues escalate to leadership because the normal path cannot resolve them?

Detect escalation collapse and leadership becoming the fallback coordination layer.

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

Detect strategic narrative and operational reality misalignment.

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 do AI tools get adopted without changing the workflows, handoffs, approvals, or bottlenecks underneath?

Detect AI adoption that has not changed operational behavior.

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 do people have to manually correct, reinterpret, or override automation before work can safely continue?

Detect hidden manual override dependency inside AI-assisted workflows.

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 are processes optimized or automated before leaders fully understand the workflow logic, exceptions, or side effects?

Detect optimization that outpaces operational 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