Underwriting. Claims. Document processing. Customer operations. Production AI for insurers, reinsurers, and brokers. Live inside your perimeter, with every decision on the record.
Models are the part that changes. SAPTIVA Studio is the part that does not: where it runs, what it costs, and the proof of every decision stay under your control.
The insurance book of business is a document problem dressed as a risk problem. Policies, endorsements, claim files, customer correspondence, each touching personal data, financial data, health data, or all three. AI can read them. The question is whether it can read them inside your perimeter, with every ruling on the record, so the risk committee signs.
That is where most insurance AI initiatives stop. SAPTIVA AI is built to clear that bar.
Insurance documents often combine financial, personal, and medical information. Handling each under the right classification is not optional.
Underwriting and claims decisions carry legal weight. An AI that cannot explain its reasoning is an AI that cannot be deployed.
Insurance documents are dense, structured, and rule-bound. A 3% extraction error rate is a claims risk, not a rounding error.
SAPTIVA AI is deployed today across document-heavy, high-stakes workflows inside insurance operations. Each runs as a SAPTIVA Studio application inside the carrier or broker's own perimeter.
AI that reads the full submission - application forms, supporting documents, medical records where applicable, historical context - and produces a structured underwriting recommendation with its reasoning attached. Underwriters stay in the decision loop. The copilot removes the assembly work, not the judgment.
Intake AI that reads the FNOL, classifies the claim, extracts the material facts, and routes to the right adjuster queue with context pre-assembled. Complex claims still go to humans. Routine ones move faster. The handover package is richer than a human intake desk can produce under time pressure.
Extracts, classifies, and validates the dense document flow that drives policy administration. Policy forms, endorsements, certificates of insurance, broker submissions. Outputs flow into the systems of record. Exceptions route to human reviewers with model reasoning attached.
First-tier inquiries resolved automatically - coverage questions, policy status, certificate requests. Complex cases escalated to human agents with full context attached. Compliance, tone and disclosure requirements set once, applied on every conversation, logged.
We publish a dedicated insurance solution because the document types, the workflows, the buying organization and the desks that say yes are different from banking. Applying a banking template to an insurance deployment is how projects die in review.
Document processing and customer operations AI, running in production inside the broker's own perimeter.
ACMES operates high-volume, compliance-sensitive document and customer-operations workflows across complex commercial lines. Before SAPTIVA AI, the same pattern most insurers know: the technology could do the work, but data residency and auditability constraints made hyperscaler deployments impossible to approve.
SAPTIVA AI landed on day one with a Forward Deployed Engineer. Inside fourteen days, two Studio applications - document processing and customer operations - were running in production, with data flows reviewed by ACMES compliance.
Volumes, metrics, and end-client identities are ACMES's to disclose. What we can say is what the page already does: the deployment is live, the applications are in production, and every decision is on the record.
Read the deployment →If you run underwriting, claims, or broker operations at a carrier or broker, and you've hit the same wall in review that every previous AI initiative hit, a Forward Deployed Engineer will respond within 48 hours.