AI-Enabled Engineering Readiness Assessment

Discover your team’s AI maturity level across the Five Facets of disciplined AI development

This assessment evaluates your organization’s readiness to adopt AI-enabled engineering practices across five critical dimensions: Friction, Limitations & Guardrails, Documented Processes, Verification, and Accountability. Answer honestly to get an accurate picture of where you stand.

1. Friction: Human-in-the-Loop

Intentional pauses that allow humans time to understand, review, and make thoughtful decisions about AI-generated code.

Does your team have mandatory review checkpoints before AI-generated code reaches production?
Do engineers understand the AI-generated code they’re deploying?

2. Limitations & Guardrails

Boundaries on what AI can access and modify to prevent catastrophic mistakes.

Does your organization have clear policies on what AI tools can and cannot access?
Are AI agents prevented from making destructive changes without human approval?

3. Documented Processes

Written, shared workflows that make best practices scalable across teams.

Does your team have documented processes for AI-assisted development?
Are successful prompts and patterns shared across the team?

4. Verification

Rigorous QA, security review, and testing that catches what AI misses.

Is AI-generated code subject to the same QA rigor as human-written code?
Does your team test for edge cases, performance, and security in AI-generated code?

5. Accountability & Operability

Clear ownership and diagnostic tools for when things go wrong in production.

Are ownership and responsibilities clearly defined for AI-generated code in production?
Do you have adequate logging and monitoring to debug AI-generated code in production?
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out of 40 points
Friction
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Limitations
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Processes
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Verification
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Accountability
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