AQ measures how much of what your organization knows is actually executable — by people and AI. Take the assessment and see your score benchmarked against your industry.
Free · 35 questions · about 12 minutes · No login to start
Agentic Quotient (AQ) is a common-sense way to decide the smartest way to get work done — hire a person, add AI, combine the two, or rethink the work.
Built for the people making that call — founders, CHROs, and department leaders. Not sure it's for you? See who needs it & why →
The AQ Assessment turns a fuzzy question — “how ready are we, really?” — into something you can act on. Thirty-five questions: thirty across the five stages of the AQ Engine, then five on your profile.
A 0–100 rating across the five stages of the AQ Engine — Capture, Operationalize, Amplify, Improve, Govern — mapped to the AQ0–AQ5 maturity levels.
Where you land against comparable organizations, your Destination AQ, and which stage is quietly holding you back.
A sequenced shortlist — the stage throttling your AQ and the specific move that raises it — instead of a vague “become more AI-ready.”
Built for CEOs, CHROs, and transformation leaders deciding where AI actually changes the work — and where human judgment still wins.
They lose because decades of expertise stay trapped inside individuals, documents, and meetings — invisible to the AI they just paid for. AI amplifies what’s been captured and made repeatable. Everything else walks out the door when people do.
Buys more AI tools. Knowledge lives in people’s heads. Every departure is a loss. The same budget keeps producing the same little.
Makes expertise executable. Best practices become systems people and agents run. The same AI budget produces more, and compounds.
Each stage builds on the one before it — from expertise trapped in people to a system that improves itself.
Get expertise out of people’s heads and into systems.
Turn it into workflows and rules that produce the same result every time.
Put people and AI to work running those systems together, at scale.
Feed every result back in, so the system sharpens instead of going stale.
Make ownership and oversight explicit enough to scale safely.
Knowledge stops leaving with people.
New people reach competence against a system, not by osmosis.
The same AI budget produces more.
Expertise executes everywhere it’s relevant, at once.
The system gets better with use.
The advantage isn’t for sale.
Thirty-five questions, about twelve minutes. A score, an industry benchmark, and a shortlist of the smartest moves to make next.
Get your AQ score →