Submission and document intake
Classify inbound submissions, extract structured fields from schedules and loss runs, and route the result into the systems that already hold the record.
Industry
AI engineering for insurance and reinsurance operations
Connect AI to document-heavy workflows, specialized knowledge, and existing policy, claims, broker, and data environments—without forcing the operation into a generic automation product.
Where AI tends to fit
Common workflow opportunities
Examples of the work this approach suits. They describe where the pattern applies, not projects VOBLA has published.
Underwriting support
Surface the appetite rules, prior decisions, and reference material an underwriter needs at the point of review, with the source document always one click away.
Claims workflows
Summarise file contents, flag missing documentation, and prepare handoffs between adjusters, vendors, and reviewers while approvals stay with people.
Broker and agent knowledge access
Give distribution teams a searchable view of forms, endorsements, and guidance that reflects current versions rather than a stale shared drive.
Treaty and facultative operations
Support submission review, extraction from bordereaux and slips, and portfolio-level analysis across knowledge-intensive reinsurance workflows.
Before anything ships
Integration considerations
The constraints that decide whether an AI capability can actually run in this environment.
- Source systems: policy administration, claims, rating, document management, and the data warehouse
- Documents: mixed-quality PDFs, scans, spreadsheets, and email threads that carry the real detail
- Permissions: broker, carrier, and internal roles that must not blur when a system reads across records
- Review: an explicit human decision point wherever an outcome affects a policyholder or a treaty
- Auditability: retained inputs, outputs, model versions, and reviewer identity for every assisted decision
Relevant services
How we would approach it
The same four service lines, applied to this operating context.
AI strategy & advisory
Identify the right opportunities, assess readiness, define the target architecture, and turn priorities into a practical delivery roadmap.
Implementation & systems integration
Connect AI capabilities to the applications, data, identity, and controls your business already runs.
Custom AI application development
Build production-ready AI applications around your users, workflows, proprietary data, and operating requirements.
Workflow automation
Redesign multi-step work with AI, deterministic automation, human review, and clear exception handling.
Discuss an insurance workflow
Tell us what the work looks like today, which systems hold the record, and where it slows down. We will frame the opportunity and the technical path.
Discuss your project