AI for the firms that underwrite and pay risk.
Every underwriting and claims decision your AI touches has to be defensible: to a state regulator, to the policyholder, and to your own actuaries. The next wave of automation has to survive that scrutiny on day one.
Every coverage decision, defensible on day one.
Every claim in the report traces back to source evidence, ownership, and the workflow decision it supports.
Same pipeline as our regulated-finance work.
Patterns are illustrative until the first insurance customer authorizes a named flag.
Illustrative patterns, not a named customer.
Claims triage
Severity scoring, fast-track routing, early fraud flagging at intake.
Underwriting assist
Document ingestion, risk-scoring augmentation, prior-loss analysis.
Policy review
Language-consistency checks across endorsement chains.
Fraud detection
Pattern recognition and network-effect anomaly detection.
Customer-facing AI
Broker self-service and copilots, human-in-the-loop on consequential calls.
Vendor model governance
Third-party model evaluation and evidence-pipeline output.
Underwriting and claims own the workflow.
Direct answers.
We don't publish customer-specific vignettes here. Insurance engagements run under tight confidentiality. The first named pattern is added once the first engagement closes. Adjacent finance work shares the regulatory posture and methodology.
One builder, across the board.
We take your AI from strategy to outcome, with governance, audit, and evals built into every build. Start with a discovery call, or a quick audit.