Service
AI Workflows with Teams
Helping development teams weave AI tools into the way they already work, so the whole team gets better, not just the early adopters.
In most teams, AI use grows unevenly: a few enthusiasts get great results, others stay sceptical, and nobody quite agrees on how it should work. The result is a patchwork that is hard to rely on.
I work with teams to find a shared, practical approach: which tools to use for what, how to work with them day to day, and how to keep the quality of the work high. The goal is a team that is confident and consistent, and a way of working that suits its people.
How I help
Meet the team where it is
Every team has its own habits and pace. We build on what already works instead of replacing it overnight.
Learn by doing
Short, hands-on sessions on real work are worth more than long presentations about what AI might do.
Shared practices
Agreed ways of working for prompts, context and reviews make results predictable and easy to share across the team.
What working together looks like
- Getting to know the team, its tools and its way of working
- Workshops and pairing sessions focused on everyday tasks
- Shared guidelines and examples the whole team can use
- Regular check-ins to refine what works and drop what doesn't
Questions to start with
- How differently do people in your team use AI tools today?
- Where would better AI support help the team most?
- What worries the team about working with AI?