AI Agents for Data Teams
AI workflows that do the boring parts so your team can do the thinking.
Who it’s for
You have a data team (or a data-capable marketing team) and they’re drowning in repetitive work. Writing dbt models from specs. Updating documentation. Triaging alerts. Migrating legacy SQL. You’ve heard about Claude Code and agents but don’t know where to start or what’s actually worth automating.
I build AI-native workflows into data teams — the same ones I use in my own work — adapted to yours.
What you get
- Custom Claude Code setups with skills and commands tailored to your codebase
- Agent workflows for specific tasks (dbt model generation, migration tooling, documentation, code review)
- Internal team training and playbooks
- Shared knowledge base of what’s working and what isn’t
How it works
- Discovery call
Free, 30 min — longer than usual for this one. We map what your team spends time on, and I tell you where AI actually helps and where it doesn’t.
- Scoping
I propose 2–3 focused workflows to build, with expected impact.
- Build and deploy
We ship the workflows, integrated into your existing tools.
- Team training and handoff
Documentation and live training so the team can extend the workflows themselves.
Who it’s not for
- Teams without any developer capacity — these workflows need someone who can maintain them
- Companies hoping AI will replace their data team — it won’t, and I’ll tell you that on the call
Frequently asked
Claude, ChatGPT, Copilot — which?
Claude Code for agentic work. Others where they fit. I’m not ideological about models.
Is this the same as ‘AI consulting’?
No. This is specifically AI applied to analytics engineering and data workflows, not AI strategy in general.