Case 01DecideDeliverDemonstrate
Turned uneven AI adoption into one direction
75% adoption across 11 teams, saving each person an average of 10 hours a week.
The problem
AI adoption is uneven, with some teams moving quickly while others have yet to begin. Getting real value means pulling those efforts into one direction and building the skills to carry it across every function.
- Ran 11 AI readiness assessments, one per team, rating strategy, data, technology, skills, governance and culture on a five-level maturity scale.
- Used the results to set one direction: start where teams were ready, build foundations where they weren't
- Created a standard deployment playbook so every team follows the same path: intake, readiness check, pilot on real work, risk review, rollout and adoption tracking
- Set data-use guardrails with Legal, IT Security and HR
- Built skills in every function through an AI innovation lab and hands-on prompting challenges
Five-level readiness scale used in every assessment
1
Ad hoc
2
Emerging
3
Established
4
Scaled
5
Optimized
11 teams onboarded75% adoption11 readiness assessments10 hrs saved per person, weekly
