Service

AI Capacity Audit

For teams with scattered AI usage, unclear ROI, or pressure to identify practical AI opportunities.

Book an AI Capacity Audit
What you get

A scoped engagement built for proof before scale.

Each service creates a champion-safe artifact: something concrete enough to explain internally, measure operationally, and use as the basis for the next decision.

  • workflow bottleneck map
  • AI capacity opportunity list
  • risk and approval map
  • recommended first sprint
Who it is for
  • Operators and internal champions with scattered AI usage
  • Teams under pressure to show AI ROI
  • Leaders who need a practical 90-day capacity roadmap
Trigger events
  • AI tool adoption is increasing but measurable capacity is not
  • Leadership wants to know where AI can safely carry load
  • Teams need to prioritize use cases before investing in buildout
Delivery model
How it works
Scoped enough to move quickly, structured enough to produce proof.
  1. Step 1Inventory workflows, repeated work, and capacity leaks
  2. Step 2Score opportunities by value, risk, reviewability, and owner readiness
  3. Step 3Map human checkpoints and candidate AI work assets
  4. Step 4Recommend the first Bet Factory Sprint or Capacity Sprint
Deliverables
  • workflow readiness matrix
  • capacity opportunity map
  • risk and approval map
  • 90-day capacity roadmap
Proof metrics
  • workflow readiness
  • business value
  • risk
  • reviewability
Not included
  • full production integration
  • enterprise-wide rollout
  • autonomous execution