AI Adoption

A practical path from “we should probably use AI” to “this is now part of how we work.”

Practical AI adoption starts with your existing people and work, not the latest tools. I help teams make AI useful, safe and sustainable.

Five-step AI adoption roadmap from discovery to handover

Engagement stages

  1. Discover — Understand tools, people, pain points and where AI can help safely.
  2. Prioritise — Score opportunities by value, effort and risk.
  3. Set guardrails — Create simple safe-use rules and approved tools list.
  4. Build workflows — Prompts, templates and lightweight automations built with the team’s real work.
  5. Train — Teach staff and train an internal AI champion.
  6. Handover — Leave guides, prompt packs and a 90-day roadmap.

Core principles

  • Start with work, not tools
  • Keep humans responsible
  • Do not automate sensitive judgement
  • Make small improvements that stick
  • Use tools the organisation already has where possible
Before and after workflow showing manual work becoming a reviewed AI-assisted process

Example workflow transformation

Before: Staff manually write every grant application from scratch; evidence is scattered; reporting is a panic.

After: AI-assisted grant workflow with reusable programme description, evidence checklist, draft sections and human final approval.