Our offerings
Applied AI Building
Structured sprints that get your teams building with AI on real use cases, your docs as ground truth, judged results at the end.
How it works
1
Pick real use cases
Not toy exercises — the workflows your teams actually want to automate or augment, framed as build problems.
2
Ground the sprint in your stack
Your internal docs and tooling become the knowledge graph the co-pilot answers from, so what's learned is what's used.
3
Build in structured sprints
Teams work in their own editors with AI agents onboarded to the problem, shipping working software on a clock.
4
Evaluate on evidence
Every build gets a judged report — what works, what's cited, what to harden — so capability gains are measurable, not vibes.
What you get
- Shipped internal tools, not workshop slideware
- A measurable read on where each team's AI capability stands
- Repos and reports the org keeps building on