Service
AI readiness & risk audits
Before you sign multi-year vendor contracts or roll tools to every desk, you need a grounded view of data exposure, workflow fit, and realistic ROI. Our audits are written for operators and executives— not as generic “AI maturity” heat maps.
What we examine
- Data & privacy — What leaves your perimeter, retention, training use, and contractual obligations with model providers.
- Workflow mapping — Where automation removes drag versus creates exceptions, rework, or customer risk.
- Vendor & stack — Overlap, lock-in, integration burden, and whether “AI features” match how your team actually works.
- People & governance — Who approves prompts, reviews outputs, and escalates when models fail.
Deliverables
You receive a concise report with prioritized recommendations: quick wins, pilots to avoid, and prerequisites for safe scale. Many clients use this directly in board or budget conversations—or as the blueprint for an implementation engagement.
Who it's for
SMB and mid-market teams that are serious about AI but cannot afford open-ended experimentation. If you need an independent read—not a vendor sales assessment—this is the right starting point.
Ready to scope an engagement?
Share your timeline and whether you're starting with an audit or implementation—we'll reply with next steps.