GenAI Work Audit
An operational audit of how your teams actually use GenAI: output quality, verification discipline, prompt standards and repeatability. Built to turn scattered usage into trusted organizational capability.
Who it is for
Leadership teams and functional managers whose teams already use GenAI but cannot yet prove quality consistency, verification discipline and measurable productivity gain.
The problem — and why now
Most organizations moved from AI experimentation to broad usage faster than they built standards. Without a work audit, AI use drifts into inconsistent quality, hidden risk and fake productivity metrics.
Scope
Work quality baseline
How output quality changes when teams use GenAI in daily work, not in demos.
Verification discipline
How teams validate AI outputs, detect hallucinations and prevent low-trust decisions.
Prompt and workflow standards
Whether teams use repeatable prompt patterns and task workflows or ad-hoc improvisation.
Role-level adoption map
Where AI usage is meaningful by function, and where usage remains superficial or risky.
Capability and governance gaps
What must be fixed in skills, operating rules and accountability to scale safely.
What you receive
- —GenAI work maturity snapshot by team and role.
- —Gap map: quality, verification, workflow and governance.
- —Priority interventions for the next 30/60/90 days.
- —A practical standardization brief for leaders and team managers.
How it connects to your transformation path
GenAI Work Audit is a high-signal front door for organizations that started with broad AI enablement before governance and operating rigor. It can precede or complement the AI Scaling Audit.
See AI Scaling Audit →Request a GenAI Work Audit
Tell us where GenAI is already used in your organization. We will return with the audit scope, timeline and decision-ready outputs.