Engineering-Management

AI adoption checklist for organizations AI is already in the team. The question is where you are now and what to do next. This checklist is based on real adoption work: mistakes that repeat from company to company and practices that consistently work. Before using the checklist, take the diagnostic →. It will show which zones are burning red in your own team. Four phases Phase Main question Main mistake 1. Sense-making Why are we doing this? Starting without an answer to “why” 2. Preparation Is the environment ready, and are there rules? Giving access without context 3. Launch Who is responsible, and how do we verify? No agreement on responsibility 4. Scaling Why did acceleration fail to shorten delivery? Scaling before it works in one team Phase 1. Sense-making Before anyone gets access to an AI tool. ...

Why teams resist AI Every month, one question about AI in teams: how roles change, where processes break, and what to do about it. This is The Human Loop. The first issue: why teams resist AI — and what to do about it. Inside: a map of six sources of resistance, five positions people take, an E2E-team case, the diagnostic, the AI adoption checklist, and the AI Resistance Map as a working template. ...