AI Enablement
AI is already in your team. Enablement makes it everyone's tool.
Three people on every team already use AI well. Enablement turns that into a capability the whole company owns — with guardrails, shared prompts, and a review loop that keeps it from going off.
What's inside
From 'a few people use it' to 'the team owns it'.
- 01
Tool selection + access
Claude, ChatGPT, Gemini, Perplexity, internal models — the right combination for the team's actual work, not the prettiest demo.
- 02
Prompt and workflow library
Shared, versioned, organized by job-to-be-done. Stops the same prompt being rewritten in five Slack channels.
- 03
Guardrails and review
What goes through AI, what doesn't, who reviews what before it leaves the building. Written down once, enforced by habit and tooling.
- 04
Champions program
The few power users get the tooling and the airtime to lift everyone else. Enablement that compounds without needing me back.
How an engagement starts
Small, fast, real work — week one.
- 01
Workflow audit
Two weeks watching how the team actually works. Where AI is hiding wins, where it's quietly making things worse.
- 02
Pilot with one team
One team, three workflows, four weeks. Measure the time saved against the quality bar. Decide whether to scale or kill.
- 03
Rollout + ownership
Scale what worked. Hand off to your champions. I stay close for the first quarter and step back.
30 minutes. No pitch. I learn what you're trying to ship.
Common questions
- Do you sell licenses?
- No. I help you pick the right ones from the providers directly and configure them properly. You pay the vendor, not me.
- How is this different from a workshop?
- A workshop teaches features. Enablement changes how work gets done — tooling, prompts, review, ownership. Workshops are part of it, not the whole.
- What size company is this for?
- Best fit: 20–200 people, where the few power users are already proving AI works but the rest of the org hasn't caught up.