ERP manages transactions. CRM manages customers. EDI C3 manages decisions. This is the working platform of the AI Control Tower — Command, Control, Centre — built for the insurance value chain.
Illustrative data · live platform. If the embedded view doesn't load in your browser,open it directly ↗.
A real decision shape from the reference build — motor claim, straight-through settlement, end to end in under five minutes.
Photos, police report and policy number captured through the claims front door.
Cover confirmed active, peril in scope, limits checked against the schedule.
Cross-referenced against the SIU watchlist and prior claims history. No match.
Severity model estimates the claim within the straight-through-processing authority threshold.
Autonomous settlement authorised, payment initiated, full reasoning trail written to the audit log.
Anything outside appetite, ambiguous, or above threshold routes to a human owner instead — see the Digital Risk Analyst for how that referral gets made.
The dashboard is only the visible layer. Underneath sits a full architecture — from enterprise data to autonomous execution.
Every metric answers one question: what decision does this require? Not reporting — decisioning.
Profit bridge, capital allocation, ROE — framed as what to do about it, not just what happened.
Where to expand, where to shrink, and where underwriting authority should change.
Leakage, fraud, severity trends and settlement efficiency, ranked by executive action required.
Channel profitability and producer decisions — which channels to accelerate, which to rationalise.
Churn risk, lifetime value and voice-of-customer sentiment, tied to concrete retention actions.
Cross-portfolio risk monitoring — the same engine behind the Digital Risk Analyst.
Enterprise signals ingested continuously from claims, pricing, regulatory and market feeds.
Patterns identified across the knowledge graph and connected data sources.
Forecasts generated for loss ratios, reserve adequacy, churn and capital needs.
Scenarios run against a digital twin of the enterprise before capital is committed.
AI Layer produces a ranked recommendation with confidence and evidence attached.
Decisions ranked by enterprise value at stake and cost of delay.
Human approval gate — routed to the right owner via the decision rights matrix.
Orchestrated execution across core systems, with receipts on the audit trail.
Outcomes fed back to improve recommendation accuracy quarter over quarter.
Ambiguous or high-stakes cases route to a human owner — never past them unnoticed.
Every insurer's models and data stay inside their own environment. Nothing cross-trained.
Approval sits with the right role at the right authority level, every time, via the decision rights matrix.
Every decision hash-chained, every reasoning step attached — nothing editable after the fact.
We'll walk your team through the Control Tower using a scenario close to your actual portfolio.