Process Audit
Are your AI-integrated processes still performing as designed?
What you get
Evidence, not assumption.
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Process performance report
Measured comparison of current AI-integrated process performance against the original design specification, with statistical significance where applicable.
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Drift analysis
Identification of where and how process performance has deviated from design intent, including whether drift is in the AI model, the human workflow, or the integration layer.
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Remediation recommendations
A prioritised list of interventions to close identified gaps, each with expected impact and effort estimate.
Who it's for
The operations owner.
Owns the operations. Needs to know whether AI-assisted processes are performing as expected or drifting without anyone noticing.
Managing the teams that run the processes. Needs an independent assessment before performance issues become escalations.
Accountable for AI deployment outcomes. Needs evidence that AI-integrated processes are still delivering the value promised in the original business case.
What comes next
From audit to remedy.
Tech Debt Audit
→If process drift is caused by AI system issues, surface the technical root cause.
ROI & Value Reporting
→Ongoing measurement that catches drift before it reaches audit-level severity.
AI System Design
→If the audit reveals fundamental design issues, redesign before the next production cycle.
Ready to verify that your AI-integrated processes are still performing as designed?
Every engagement starts with a short conversation. No commitment, just specifics.
Let's talk →