AI workflow enablement
Set your team up with Claude Code, MCP and automation that saves hours each week.
The problem
Your team has ChatGPT accounts but still works the old way. Developers try AI tools, get messy results and give up. You want a setup that makes people faster on real work, not another subscription nobody uses.
What you get
- 01Claude Code set up for your codebase, with project rules your team can edit
- 02MCP connections to the tools your team already uses
- 03Automations for repeat tasks your team names on day one
- 04A hands-on session on your real tasks, not a slide deck
- 05A short written playbook your team keeps
How it runs
- 1Map the repeat work that eats your team's week
- 2Set up tools and connections against your own code and data
- 3Run working sessions with the team on live tasks
- 4Review after two weeks and adjust
Proof
Questions
How do I get my developers to use Claude Code properly?
Give it project rules, connect it to your tools through MCP, and practise on real tickets. I use Claude Code every day and set it up the same way for teams.
What is MCP and do I need it?
MCP (Model Context Protocol) lets an AI assistant use your tools and data directly, such as your repo, docs or internal APIs. You need it if you want the assistant to act on your systems, not just answer questions.
Can AI coding tools work on a real, messy codebase?
Yes, with a person directing and testing the work. I shipped a merged open-source fix to the macOS build and linker of a C/C++ game port, done AI-assisted with Claude Code.
What can we automate with AI in a small team?
Common wins are drafting and reviewing code, sorting and tagging data, writing first drafts of docs, and moving data between tools. We start with the tasks your team repeats most.
Other services
04 / Contact
Have something to build? Book a call.
20 minutes, free. Tell me what you need; you leave with a scope, a timeline and a straight answer on whether I'm the right fit.