Work on real tasks
We use examples from your team's work, not generic exercises.
How we work
We start with tasks your team already does. People try the tools themselves, ask questions, and learn where AI helps and where it does not.
Five principles
We use your tools, your policies, and tasks your team knows.
We use examples from your team's work, not generic exercises.
We work with Microsoft, Anthropic, OpenAI, Google, or a mix of tools.
We learn your workflows and constraints by working through them together.
What comes up in a workshop shapes the support and engineering work that follows.
We look at how teams use the tools and whether the work gets easier.
What happens next
We look at the work your team does, the tools they use, and the rules they need to follow.
We work through real tasks so people can try the tools and see their limits.
Office hours and workflow reviews help answer questions that come up after the workshop.
If an existing tool cannot handle the task, we scope and build software for it.