A supervised AI teammate that works alongside human risk managers — accelerating the analysis of risk positions, explaining why exposure moved, and retaining context across every interaction. Human judgement stays at the centre of every call.
Regulated industries are converging on the same pattern: a supervised AI teammate that reasons through complex positions, explains what changed, and carries context from one question to the next — with a human decision-maker always at the centre.
FutureInsurance.ai is building that capability purpose-built for insurance risk, underwriting and claims teams.
Built on the same AI Layer and Decision Engine that power EDI C3's Enterprise Risk Intelligence module.
Reads across policies, treaties, claims and market signals to summarise exposure by line, geography and peril in minutes rather than days.
Every movement in the enterprise risk index comes with a driver-level explanation — claims severity, cat model updates, rate adequacy, reinsurance utilisation.
Continuously tracks portfolio concentration against risk appetite and flags accumulation pressure before it becomes a limit breach.
Surfaces adverse development early, with evidence trails actuaries and CROs can interrogate — never a silent auto-adjustment.
Remembers prior questions and decisions within a session, so risk managers can interrogate a position the way they'd brief a senior analyst.
Borderline or ambiguous signals route to an escalation queue for a human risk manager. The analyst informs the decision — it does not make it alone.
High-confidence signals are surfaced; ambiguous or high-stakes ones are routed to a human risk manager. The analyst never issues a final risk decision on its own.
Every risk opinion the analyst forms is logged against the evidence it used — the same hash-chained audit log that underpins the EDI C3 Decision Engine.
Risk models and learnings are scoped to a single insurer's environment. Nothing is cross-trained across subscribers.
The Digital Risk Analyst isn't a standalone chatbot — it's a view into the same Decision Engine and Knowledge Graph that drive Enterprise Risk Intelligence in EDI C3.
Policies, treaties, claims, regulations and financials — one connected map the analyst reasons over.
Forecasting, scenario modelling and root-cause analysis feed every risk opinion with evidence.
Escalation rules and approval chains decide what the analyst can surface versus what needs a human sign-off.
Tell us which book of business you'd start with — reinsurance, cat exposure, or reserve adequacy.