New Layer 7 — simulate intervention impact before execution, compare alternative decision paths, quantify cost of inaction vs action, attach expected ROI to every recommendation.

Track prediction vs outcome accuracy. Build a confidence calibration curve. Compute a "model trust score." The system reduces overconfidence and increases weight on reliable signals.

Measure time-to-resolution per case type, queue velocity, bottleneck propagation, rework cycles, dependency delays.

Escalation triggers based on time thresholds, priority score, client tier, historical failure patterns. Auto-notify manager, auto-add to partner "Decide Now" lane.

Connect decisions into a graph. Nodes: decisions, signals, outcomes, users, clients. Edges: caused by, led to, similar to, depends on. Enables "this case is similar to 12 previous cases" and "these decisions tend to fail when reviewer bottlenecks exist."

Per case: revenue at risk, penalty exposure, cost of delay, capital leakage, opportunity cost.

Track service activation frequency, effectiveness, user engagement, conversion to action. Underused services get hidden or rephrased. High-performing services get promoted. Onboarding adapts dynamically.

Track: time from signal → case, case → first action, action → resolution. Output: "High-priority decisions take 4.2 hours to act — target is <1h."

Firm Decision Health Score combining: backlog pressure, decision latency, outcome success rate, escalation frequency, cross-practice risk.

Show top 5 decisions ranked by impact with trade-offs: Resolve Payroll backlog → prevents €8K penalty. Address Tax bottleneck → improves system flow. Reassign overloaded staff → reduces future risk.

System learns which signals are useless, which recommendations are ignored, which patterns actually matter. Then: kills low-value signals, reweights detection logic, refines thresholds automatically.

A digital operating layer for how a firm thinks and acts. Not just an AI system — category-defining infrastructure.