



AI adoption stalls when teams don’t share the same mental model.
A quick readiness assessment creates a common reference point across roles, replacing anecdote with evidence.
From there, managers align on a shared Definition of Done, review cycles speed up, and rework drops.

AI Fluency snapshot across 5 dimensions (attitudes, prompting, safe use, workflow integration, change efficacy).
Alignment map showing where leaders and teams are talking past each other.
Two-workflow standardization plan (what to lock, where to add manager review).
A results band with a recommended next step so action doesn’t stall at a score.

Assess literacy & fluency across roles to establish a shared baseline.
Align on review standards (Definition of Done) and select two repetitive workflows to standardize.
Ship a named digital teammate (persona + SOP + references + task starters) with simple guardrails and a 5-minute review rubric.
Track time-to-first-draft and rework %; adjust instructions where misses occur.
Expected near-term impact: More predictable first drafts, fewer rewrites, visible usage patterns managers can coach.

Make delivery predictable: consistent first drafts, fewer back-and-forths.
Make coaching visible: shared standards and review rubrics managers can actually use.
Make rollout safe: approved sources, “stop & ask” rules, and clear constraints.
Use approved documents and references only; define “stop & ask” rules before high-risk steps.
Keep usage visible with shared instructions, outputs, and manager review.
Results are delivered on a results page and via email with your next-step plan.

Recommend to others for Great instructors; practical knowledge.
Justin is phenomenal to work with

About 10 minutes. You’ll see your results page immediately and get the same summary by email.
You receive your band and a two-workflow plan to standardize next.
No. It’s a readiness and alignment process that turns into standardized workflows, review rubrics, and a named digital teammate.

Don't Forget the Human Part