Claims volumes are up, underwriting windows are shrinking, and fraud gets more sophisticated every quarter. AI can solve all three — but not if the policyholder data has to leave the country for a hyperscaler endpoint to do it. ARK lets the inference happen where the data already is.
Insurance is built on data you are legally responsible for — medical records in health lines, vehicle telemetry in motor, personal finances in life, corporate contracts in commercial. That data doesn't get to take a round trip through a foreign cloud every time an underwriter asks a question.
Health, biometrics, financial status — large parts of every claim and every underwriting file qualify as special-category data under GDPR Article 9. Routing it to a public LLM endpoint isn't a minor risk: it is a compliance event your DPO will escalate.
Pricing, risk scoring, and claims adjudication are named use cases in the EU AI Act's high-risk tier. That means model governance, documentation, human oversight, and post-market monitoring — not a prompt against a vendor API you don't operate.
Your operational risk model, your third-party risk register, your ORSA — they all assume you know where data sits and what can touch it. A foreign inference endpoint inside a claims workflow makes that assumption harder to defend to EIOPA and your national regulator.
These aren't experiments — they're the workflows where carriers are already shipping production AI in Europe. ARK is the runtime pattern that makes each one survive a second-line review.
Ingest the first-notice-of-loss, the policy wording, medical reports, and loss-adjuster notes. Route simple cases straight through, surface the ambiguous ones to a human with a structured summary.
Synthesise broker submissions, industry reports, and internal risk history into a single file the underwriter can actually use in the time they have. Citations back to the source documents come for free.
Flag unusual claim patterns, inconsistent narratives, and network-level collusion signals before the payment leaves the door. Same runtime, multi-tenant across lines of business.
Extract named endorsements, clause deviations, and exclusions across a book of policies. Critical for renewals, portfolio reviews, and regulatory inquiries — done in hours, not weeks.
Every insurer that's adopted AI successfully has done it the same way: the inference layer lives where the data already lives, not on the other side of an API call to a hyperscaler. ARK is built for that pattern from day one.
That means your operational risk model keeps its shape, your DPO keeps their signed Article 30 record, and your regulator's next AI thematic review has an easy answer.
Deployed in your data centre or sovereign cloud. Policyholder data, claim narratives, and medical evidence stay where they already sit.
Each claim, each underwriting file, each broker submission gets its own isolated inference context. No cross-session leakage, even under multi-tenant pressure.
Every prompt, every output, every tool call is logged inside your residency boundary — ready for EIOPA, your national regulator, and your internal audit function.
Implemented by the system integrators that already run your core policy admin, claims, and data platforms. ARK is the runtime; they own the integration.
ARK's architecture lines up with every framework a European insurer is measured against — from Solvency II and the IDD through the EU AI Act's high-risk obligations and GDPR's special-category rules.
Tell us which lines of business you want to move first, which integrators you already work with, and which regulator you answer to. We'll show you the pattern — and who to build it with.