ICC™ Governed Autonomy Demonstrator
Watch an autonomous trading actor propose actions while ICC evaluates causal admissibility before commitment.
The trading model proposes what could be done. ICC determines what may be committed—under whose authority, given the current causal situation, and with what evidence.
The model remains probabilistic. The approved governor remains persistent, versioned and enforceable.
Actor's Proposed Action
An AI trading model perceives market state, identifies opportunity, and proposes a candidate transition.
Live Event Fabric
Market events, system events, and consequence events continuously update the causal state.
ICC Governance Determination
The compiled governor evaluates causal admissibility against authority, exposure, volatility, and liquidity conditions.
Commit Boundary
Nothing executes before this boundary. Only admitted transitions cross into reality.
Five Governed Outcomes
ADMIT · RESIZE · HOLD · BLOCK · ESCALATE — each with a complete intent-to-execution causal trace.
Compiled Intent
View the approved versioned entity: activity intent, governor's intent, and system-event semantics.
Normal Trade
ADMIT
Exposure Breach
RESIZE
Volatility Shock
HOLD
Authority Violation
BLOCK
Market Anomaly
ESCALATE