How ready is your team to let AI do more of the work?

Fourteen questions, about five minutes. You'll get a result, the areas to look at first, and a sensible next step.

Your answers stay in your browser. Nothing about them is sent or stored unless you choose to email them to me.

Delivery foundations

1. Do commitments usually land when you said they would?
2. Could you safely ship to production on any given day, with automated tests and deployment?

Adoption and practice

3. Do most of your engineers use AI tools in their daily work, not just a few enthusiasts?
4. Is there a shared, written way of working with AI (context, review, and testing) that the team actually follows?
5. Do you have standards and guardrails that AI-generated code must pass before it ships?
6. Are code review and testing keeping up with the volume of change AI produces?

Goals and outcomes

7. Have you set goals for what AI should improve, and do you track them?
8. Could you show your CEO or board what has actually changed since you adopted AI?

Readiness for agents

9. Are your requirements clear enough that an agent could act on them without a long back-and-forth?
10. Do you have the automated tests and environments to check an agent's work safely?
11. Do agents already complete real tasks end to end, with human review, beyond autocomplete?

Risk and compliance

12. Do you know what data your AI tools can see, and where it goes?
13. Could you show an auditor (SOC 2, ISO 27001, or your regulator) that AI use is under control?

People and leadership

14. Is someone accountable for the change, with the time and authority to lead it, and have roles and expectations been updated to match?