Document- and knowledge-intensive workflows
Policies, endorsements, claim files, adjuster reports and correspondence are connected to workflows through classification, extraction and validation. Low-confidence outputs are routed for human review.
- Document classification and field extraction
- Cross-checking against rules and system data
- Missing-document and inconsistency handling
- Source-attributed knowledge assistant
Claims and fraud analytics
Claim context can be connected to policy, customer, history, documents and external signals to support prioritization and review. Model output becomes evidence in an expert workflow rather than an unchallengeable decision.
- Claim severity and complexity estimation
- Anomaly and relationship analysis
- Case routing and investigation queues
- Model explanation and outcome tracking
Broker and customer experience
Quotation, policy, renewal and claim status are made consistent across channels. AI assistants can accelerate product and process knowledge, while personal information and transactions remain behind strong identity and permission controls.
- Broker portals and API integration
- Quote and policy status visibility
- Grounded product and coverage knowledge
- Agent assist and customer handoff
Resilient core and data governance
Core policy and claims systems are managed with visibility into integration, data quality, continuity and change risk. Sensitive personal and health data is governed through separate classification and access rules.
- Critical transaction and integration monitoring
- Data quality and master-data controls
- Backup, DR and cyber recovery
- Access, logging and change evidence