How it works
A decision-activation engine, not another data score.
Decision intelligence stops at the recommendation. Anthrocentrix™ starts there. It names the human factor blocking the action — the bias, the pressure, or the posture the data doesn't see, in the field's own terms — delivers the move matched to that specific blocker, and measures whether the person actually did it. Cases is where that read gets tested, one at a time, head to head.
Grounded in decision science and behavioral economics. These are authored demonstrations — the method is real; the cases are written to show it working, and are not claims of validated performance.
The four steps, on every case
- 1
Define the outcome
The decision, action or behavior that actually has to land — stated as something a person does, with a point at which you would know whether they did it.
- 2
Read the blocker
What is preventing the action: trust, control, effort, loss-aversion, readiness, perceived risk or friction — named in the field's own terms, not the data's.
- 3
Deliver the matched move
The message, framing, workflow change, escalation or decision aid matched to that specific blocker. What the engine evaluates and how it weighs the signals is patent pending and not exposed here.
- 4
Measure realization
Did they do it? On a live deployment that is an observed event. In these demonstrations it is the authored case resolution, shown beside your own call and a generic model's.
What it is not
- Not a personality test or a profile of you.
- Not a data score for the transaction, alert, deal, or case.
- Not a generic model prompt — it reads the human factor a generic model is blind to.
See it work
Cases runs one case at a time and shows three reads side by side — your own call, a generic model, and Anthrocentrix — against the authored case resolution.