AI Adoption Enablement
I help teams move from scattered, individual AI tool use to a shared, agreed workflow with AI review steps built into the sprint or Kanban process you already run.
Who This Is For
Teams with AI tools already in hand but no shared agreement on where those tools fit in the delivery workflow.
Signs You Need This
- Different squads use AI tools ad hoc, with no shared practice between them
- Definition of Done hasn't been updated
- Leadership bought AI licenses months ago and still can't point to any shift
Our Approach
Workflow Mapping
Assess how AI is actually used across teams today and which tools are licensed.
Pattern Design
Define exactly where AI enters refinement, execution, and review.
Pilot & Playbook
Co-build a lightweight playbook with one or two teams, refine it across a PI.
Train-the-Trainer
Coach a small group to train more teams.
What Changes
- An AI usage playbook
- A consistent AI-output review step in the sprint workflow
Questions
We already have an AI tools policy — why isn't that enough?
A policy document tells people AI is allowed. It doesn't tell them where in Sprint Planning or Refinement to use it. Scrum.org's 2026 AI4Agile research found integration uncertainty, not resistance, is the actual barrier — that's a workflow problem, and it needs a workflow answer.