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Capability Framework

Capability
Levels

Five levels that describe how you use AI — not what tools you know, but what value you create, for whom, and with what accountability. Find the one that sounds most like you today.

Principle 01AI is a capability, not a role
Principle 02Progression = value creation
Principle 03Responsibility grows with maturity
Principle 04Level 3–4 excellence beats shallow Level 5
What this framework is built on

Four principles.
One direction.

01
AI is a capability, not a role

Every function uses AI differently. PM, Design, Development, Consulting, Corporate — the skills look different, but the maturity model applies to everyone.

02
Progression = value creation

Higher maturity means more business impact — not just better prompting. The question is not "can I use AI?" but "does my AI use create real value?"

03
Responsibility grows with maturity

The higher the level, the more accountability for output and outcomes. At Level 4–5, you own what AI produces — not just for yourself, but for your team and clients.

04
Not everyone needs Level 5

Excellence in your role at Level 3–4 is often more valuable than shallow Level 5 skills. The goal is maximizing impact in your role — not reaching the highest number.

At a glance

How levels compare

Level Focus Output Scope Responsibility Identity
Important distinction

The capability levels on this page describe skill development — not usage risk. Data classification, tool approval, and security rules are defined separately in the Qvest Engage AI Usage Guideline. Both frameworks apply — they are complementary, not duplicates.

Go deeper
Take the detailed self-assessment

Not sure which level fits? The detailed assessment covers all five dimensions and points you to your most impactful next steps.

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This capability framework operates within the guardrails of the Qvest Engage AI Usage Guideline. Capability levels ≠ usage risk levels.