01
Tool selection & rollout
We match tools to your actual workflows — Claude Code, Codex, Copilot, Cursor — then configure, license and roll them out without disrupting delivery.
The tools are bought. Now make them pay off.
Most companies get 10% of the value from their AI licences. The gap isn't the technology — it's workflow, governance and skill. We close that gap, hands-on, inside your team.
Six workstreams, one outcome: a team that ships with AI.
02
Best-practice playbooks
Reusable prompt libraries, coding-agent conventions and review workflows — captured as living playbooks your team owns, so knowledge compounds instead of evaporating.
03
Guardrails & governance
Clear data boundaries, permission models and usage policies — so people know exactly what can go into a model, and auditors know exactly what came out.
04
Hands-on training
Workshops built around your codebase and your documents — not generic demos. Engineers, analysts and operators leave having shipped something real with AI.
05
Cost & token control
Budgets, caching strategy and usage monitoring baked in from day one. Teams routinely overspend on AI by 3× — yours won't.
06
Adoption measurement
We instrument adoption and output quality, report monthly, and tune until the numbers move. Enablement ends when the data says it worked — not when the slides run out.
Claude Code
Codex
GitHub Copilot
Cursor
Claude
ChatGPT Enterprise
Gemini
Turn licences into output.
A typical enablement engagement runs 4–6 weeks and pays for itself in recovered productivity.