AI & work · 3 COMPANIES
AI policy should come before the tool list
How can AI-assisted work scale without degrading quality and safety?
A mature approach defines eligible work, output verification and prohibited data before choosing tools.
Shared patterns
- 01
Final accountability remains human.
- 02
Repetitive and reversible work is the first candidate.
- 03
Sensitive data and high-risk decisions have separate rules.
Important differences
GitLab emphasizes governance and principles, Automattic role-based AI literacy and Zapier role redesign through automation.
Trade-off
Speed and capacity rise, but accuracy, data leakage, skill atrophy and hidden automation debt become risks.
Put it into practice
Classify work by risk and reversibility and assign a verification owner to each class.