AI Insurance Research Lab

Open benchmarks, playbooks, and quarterly insights to accelerate safe, effective agent adoption.

Where insurance-domain rigor meets agentic AI engineering. Reproducible benchmarks, governance playbooks, and a readiness index—so you can adopt faster, safer, and audit-ready.

Intake, coverage, explainability, fairness.

Adverse action, rationale templates, HITL.

Assess org readiness across dimensions.

Trends, architectures, anonymized learnings.

Each benchmark ships with datasets/specs, metrics, scoring logic, and governance notes.

Document Intake & Normalization

Tasks

Metrics

Coverage & Exception Analysis

Tasks

Metrics

Quote Comparison & Explainability

Tasks

Metrics

Underwriting Signals & Referral Reasoning

Tasks

Metrics

Claims FNOL & Triage

Tasks

Metrics

Fairness & Robustness Checks

Tasks

Metrics

Suitability & Adverse Action

Tasks

Metrics

Policy Service Automation

Tasks

Metrics

Treaty & Bordereaux QA

Tasks

Metrics

Cat/Event Analytics

Tasks

Metrics

Production-grade templates you can adopt as-is or tailor.

Measure your posture and get a gap-aligned plan.

7.8
Overall / 10

Governance

69%

Data & Tools

74%

People & Skills

65%

Change & Adoption

71%

Trends, reference architectures, and anonymized field learnings.

Where STP Works, Where Agentic AI Excels, and Where HITL Must Stay

Decision Segmentation and Cost Curves for Document-Heavy Workflows in the Age of Agentic AI

Reference Architectures for Governed RAG/Agents

Patterns for claims triage and UW explainability packs in regulated stacks.

Benchmark Trends: Accuracy vs. Latency

How carriers balance P95 latency with explainability and reviewer throughput.

Standards alignment: NAIC, NYDFS, Colorado SB21-169, NIST AI RMF
Artifact Factory: run cards, decision traces, explanation bundles, audit-ready PDFs
Reproducibility: deterministic harness, seed control, prompt/version pinning
Privacy-by-Design: redaction defaults, role-based access, synthetic data fallbacks

Is this model ranking?

It’s use‑case benchmarking with governance signals, not just raw model scores.

Can we run it internally?

Yes—on‑prem private harness with the same metrics and artifact factory.

What about sensitive documents?

Use redaction + synthetic recipes; we provide contracts and SOPs for PHI/PII.

Ready to test, learn, and scale—safely?

Kick off with benchmarks, tailor playbooks, and get your readiness plan in days—not months.