Operational risk sits at the intersection of infrastructure and narrative. A port closure is an infrastructure event; it becomes an operational crisis when the narrative pathway — contracts, insurance, customer commitments, political pressure — amplifies the direct impact into something the business cannot absorb. ARIAA models both sides.
What ARIAA delivers
- Supplier-graph feasibility — given your supplier graph with lead times and substitutability weights, ARIAA returns a feasibility verdict per commitment (shipment, service level, fulfilment target) under a hypothesised or active disruption.
- Cross-domain contagion — weather → input cost → demand shock → covenant trigger, modelled as an explicit pathway graph. Transfer-entropy-weighted edges; not an aggregated factor model.
- Digital twin of the supply network — sensor-driven twin of the real network with alert prediction: the engine extrapolates live telemetry to forecast future constraint violations before they bind.
- Adaptive forecasting — the self-improving dynamics engine detects model decay against real outcomes and recommends refit or switch. You don't operate on a forecast the platform already knows is breaking.
- Geopolitical signal feed — curated signal layer mapping political risk to your specific supply-chain exposures.
Who uses it
- COOs — as a committee-grade operational-risk reasoning surface.
- Procurement — for category-level scenario analysis ahead of contract negotiations.
- Operational-risk leads — as the layer above SCRM that turns graph data into verdicts.
- Insurance and reinsurance carriers — for supplier-graph accumulation modelling.
Integration
Bring your existing SCRM graph via ingest APIs. Bring your existing forecasting system as a dynamics model plugged into the solver. ARIAA composes, not replaces.
Deployment
On-prem and dedicated cloud dominate this vertical because the supplier graph itself is sensitive data. SaaS is available for less sensitive tenants or for consulting partners delivering to clients.
See also: Financial & Macro Risk for the downstream portfolio view and Public Policy & Regulation for regulatory pathways into supply scenarios.