Turn AI licenses into work people repeat.
Pick one team and one job. We document current use, teach an approved workflow, put guardrails into daily work, and prepare internal owners to keep it going.
Assess AI adoption- Best for
- Teams with AI licenses or experiments but no consistent way of working
- Starting point
- One team, role, and high-value workflow
- Typical pilot
- 2-4 weeks
- Decision at the end
- Continue with another cohort, revise the model, or stop
The team practices one approved workflow, uses the guardrails while doing the job, and gives leaders enough information to choose the next cohort.
Adoption happens inside the work.
Starting point
- Document current behavior, friction, ownership, and practical measures
Adoption system
- Apply an approved AI tool to one valuable role-specific workflow
- Put data handling, review, and escalation rules into daily practice
- Equip named internal owners to support the workflow after the pilot
Evidence and decision
- Review usage, quality, rework, and operating feedback against the baseline
- Make the next rollout decision from observed evidence
This pilot needs
- One team, one job, and the owners who keep it going
- Approved tools and rules people can follow while working
- Leaders willing to review actual use, rework, and feedback
Not a fit: a one-off training event with no workflow owner, baseline, or follow-through.
How the engagement runs
Three steps, then a decision.
Baseline
Choose the team and job, document how the work happens now, and agree on the rules and measures.
Practice
Teach the approved workflow, apply the guardrails, and support champions while the team does real work.
Decide
Review use, rework, quality, and team feedback before choosing another cohort, revising the model, or stopping.
Start with the team using AI inconsistently.
Name the job, the approved tools, and the manager who needs to see what changes.