A New Way to Work: How We Made Our Team AI Native
summary
Nansen, a 75‑person remote firm across 30 countries with $88M raised, operationalizes AI by measuring inputs (hours and tokens) and outcomes. They report 1 billion tokens per month per employee, give every person a provisioned “open claw” agent, and see deployments per engineer 4x, ~90% of PRs co‑created with AI, change failure rates at record lows and lead time reduced 95%, while revenue per head has roughly tripled. Key human traits emphasized: agency, problem selection, quality bar, and clear communication.
AI-written summary · about
chapters (8)
- 0:00Introduction and context
- 1:12About Nansen and our mission
- 2:59Three key shifts at Nansen
- 4:41New way to work with AI
- 6:04Measuring AI adoption inputs
- 8:10AI-driven engineering outputs
- 10:43Outcomes and productivity gains
- 12:29Human traits for AI nativeness
related talks
15m10,000 Hours with AI: How We Made Our Team AI Native
13m30,000 Hours with AI: How We Made Our Team AI Native
25mArchitecting AI-Native Organizations: How to Redesign Work at Scale
19mLessons from Transforming Teams to AI Native Workflows
21mThe Agent Native Company
24mBuilding an AI Native Engineering Org
18mSmall AI Teams with Huge Impact
28mAI at Work