INSURANCE · INDUSTRY
AI for insurance operations — built for claims volume, compliance requirements, and data sensitivity.
Insurance operations are document-heavy, compliance-sensitive, and high-volume. All three characteristics make them particularly suited for AI automation — when it's built correctly.
DeView builds AI systems for insurance teams that reduce manual processing, handle routine customer enquiries, and generate compliance documentation automatically.
Use cases
CLAIMS INTAKE
Read and classify claims documents automatically
Claims arrive in varied formats — PDFs, photos, emails with attachments, broker-submitted forms. Staff read each one to classify the claim type, extract policyholder details, identify required supporting documents, and route to the correct adjuster queue. AI automates this: the claim is read, classified, and routed in seconds. Missing documents are flagged automatically. Adjusters receive pre-populated claim summaries instead of raw documents.
What changes
- +60–85% reduction in manual intake time
- +Same-day routing for all incoming claims
- +Missing-document notices sent automatically
POLICY Q&A
Give customers and staff instant, accurate policy answers
Policy enquiries — coverage limits, exclusions, renewal terms, claims procedures — are high-volume and repetitive. AI reads your policy library and answers these questions in seconds, citing the specific policy section. Customer-facing: reduces call centre volume and email queue. Internal: gives underwriters and adjusters instant answers without interrupting senior colleagues.
What changes
- +70% reduction in routine policy enquiries reaching staff
- +Cited answers — every response references the source clause
- +Permission-scoped — staff and customers see different scopes
COMPLIANCE REPORTING
Generate compliance reports automatically from connected data
Regulatory reporting in insurance requires pulling data from multiple systems, cross-referencing against policy records, and producing structured reports on schedule. AI connects to your policy administration system, claims database, and compliance tracking tools and generates the required reports automatically — ready for review and sign-off rather than manual assembly.
What changes
- +Recurring reports produced on schedule without manual data collection
- +Audit trail included by default
- +Configurable for MAS, HKIA, FCA, and other regulatory frameworks
CUSTOMER SERVICE
Handle routine customer enquiries without scaling your team
Renewal reminders, payment status questions, coverage enquiries, claims status checks — AI handles these automatically or assists your support team with drafted responses and pre-loaded account context. Escalations go to an agent with the full conversation history and account summary already prepared.
What changes
- +30–50% reduction in average support handling time
- +First-contact resolution rate improvement
- +Seamless handoff to human agents for complex cases
Common questions from insurance teams
Insurance data is highly sensitive. How do you protect it?
Every deployment lives in your own cloud environment or on-premises infrastructure. No policyholder data passes through DeView-operated systems. We implement role-based access controls, full audit logging, and can configure the deployment for PDPO, GDPR, and jurisdiction-specific regulatory requirements.
Our claims processes vary significantly by product line. Can AI handle that?
Yes. We configure separate processing pipelines per product type and train each on that line's specific document formats, field structures, and routing rules. The configuration is documented so your team can update it as products change.
We're concerned about AI making wrong decisions on claims.
AI doesn't make claims decisions — your adjusters do. AI handles intake, classification, extraction, and routing. Any document or field where AI confidence is low gets flagged for manual review. The system is designed to increase adjuster efficiency, not replace their judgment.
Start with one workflow
Tell us the claims or operations process that takes the most manual time.
We reply within 1–2 business days with a specific recommendation — what AI can do, how long deployment takes, and a cost range.