Service

AI Capacity Sprint

For teams ready to redesign one high-value AI-supported workflow, install human checkpoints, and prove measurable operating lift.

Start an AI Capacity Sprint
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.

  • redesigned workflow
  • human-in-the-loop checkpoints
  • prototype or operating loop
  • proof-of-impact report
Who it is for
  • Teams with a selected workflow and owner
  • Champions who need measurable proof before scaling
  • Operators who want repeatable capacity, not one-off demos
Trigger events
  • An audit or Bet Factory Sprint identified a strong workflow candidate
  • A workflow is delaying revenue, customer response, reporting, or delivery
  • The team needs proof of time saved, quality improved, or cycle time reduced
Delivery model
How it works
Scoped enough to move quickly, structured enough to produce proof.
  1. Step 1Teardown the current workflow and bottlenecks
  2. Step 2Design the future-state AI-supported workflow
  3. Step 3Install human checkpoints, quality bars, and escalation paths
  4. Step 4Run a constrained pilot with real or representative work
  5. Step 5Measure impact and decide whether to scale, revise, or stop
Deliverables
  • future-state workflow map
  • AI-assisted operating playbook
  • human checkpoint model
  • pilot outputs
  • proof-of-impact report
Proof metrics
  • hours saved
  • cycle time reduced
  • quality improved
  • review burden reduced
Not included
  • enterprise rollout
  • complex MCP buildout unless scoped separately
  • legal/compliance signoff ownership