WEKID™ SIMULATOR

Decision-to-Action Governance • Digital Twin Console

A digital twin rolls a proposed agent action forward and the prediction becomes WEKID evidence. Model One (the Epistemic Maturity Model) scores that evidence across the five layers into a Maturity Score. Only outputs that clear the required threshold cross the Trust Bridge to Model Two (the AI Decision Authority Model), where risk, policy, and gates determine who — or what — decides. Twin output is Synthetic Experience: admissible evidence that informs the decision but earns standing authority only after a real outcome confirms it. Hover a scenario to see what it is, then pick one and govern it.

DIGITAL TWIN ROLLOUT — EVIDENCE

Predicted outcome and the Wisdom signals it produces.

Synthetic Experience (§5.8): admissible evidence, validated into authority only by the continuous-learning loop (§6.7) after a real outcome.
Model One

EPISTEMIC MATURITY ASSESSMENT

Five layers, scored bottom-up against the evidence. Output: the Maturity Score. Core question — how mature is the knowledge?

Run a scenario to assess maturity.

Layers without scenario evidence default to neutral (3.00).

TRUST
BRIDGE
awaiting run
Model Two

DECISION AUTHORITY DETERMINATION

Risk, policy, and gates complete the determination. Output: the Authority Level. Core question — who or what decides?

Run a scenario to see the authority determination and routing.