Five stages that convert what an organization knows into what it can execute.
A high AQ isn’t a tool you buy — it’s a system you build. The AQ Engine is that system: five stages that move expertise out of people’s heads and turn it into something people and agents can run, improve, and trust at scale. Each stage depends on the one before it.
Turn expertise, judgment, and hard-won edge cases into knowledge a system can reference — instead of knowledge that lives only in the heads of whoever happens to hold it.
Looks like: decisions, exceptions, and “how we actually do it” written down where a person or an agent can find them.
Convert captured knowledge into workflows, decision rules, and systems that produce the same result regardless of who runs them.
Looks like: a checklist becomes a workflow; a judgment call becomes an explicit rule with known exceptions.
Put people and AI to work executing those systems together, at a scale and speed no individual could reach alone.
Looks like: agents handle the repeatable path; people handle the judgment, the exceptions, and the relationships.
Route the results of every execution — human and machine — back into the system, so it sharpens instead of going stale.
Looks like: every correction, override, and outcome feeds the next run. The system compounds.
Make validation, ownership, and intervention explicit enough that systems can act across boundaries safely.
Looks like: clear owners, guardrails, and a human in the loop where the stakes demand one.
An organization that runs all five stages well doesn’t just use AI — it compounds its own expertise. That progression is what the AQ Maturity Model measures.
The AQ Assessment scores each stage, so you know exactly where your expertise is getting stuck. 35 questions, about 12 minutes.
Get your AQ score →