Mean satisfaction restoration across affected cohorts
High-LTV customer churn proactively neutralized
Value saved per dollar of simulated recovery remediation
β Starter Demo: Multi-Channel E-Commerce & Telephony β’ Live In-Flight Telemetry
Message-passing GNN executes in real-time using weights learned in Side 1 (W_int = 1.45x), computing dynamic satisfaction scores at every state change.
Compounding Penalty Waterfall (Sarah Jenkins)
Transparent mathematical decomposition of the non-linear interaction effect.
Ξ±β Prior
W_ops β’ O_i
W_sys β’ S
W_int β’ (O Γ S)
Active Risk
GNN Real-Time Message-Passing Trace
Aggregating state across Customer Node (Sarah Jenkins), Touchpoint (3. Checkout & Payment), and System Node (Stripe US-East Auth Endpoint).
Updating Customer state vector: applying linear penalties (Ops: -14, Sys: -16.6) and compounding interaction multiplier (-83.7 pts).
Passing updated vector through Sigmoid activation bounded in [0, 100]. Final pCXSAT evaluated at 8 (RED Zone).