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Claims triage automated at a Tier-1 P&C carrier. ARTs launched across a major Life insurer's operations. Underwriting flows rebuilt and quote-to-bind cut 60%. We measure in basis points and minutes.
Insurance AI consulting is the work of designing and rolling out AI inside a carrier’s underwriting, claims, and policy administration value streams, governed to the NAIC AI Model Bulletin (December 2023), the applicable State DOI bulletins, Solvency II (where international), and the carrier’s own model risk policy. The unit of measure is not model accuracy. It is combined ratio, claims cycle time, quote-to-bind minutes, and loss ratio held inside guardrails. Rockmere’s insurance AI consulting practice runs that work across P&C, Life, and Health carriers, and we coordinate with your compliance officer and state DOI relationships from week one.
Most carriers have three opportunities open at the same time. A 12-hour reduction in mean claims cycle time moves retention. A five-point straight-through-processing lift on auto glass moves combined ratio. A 30% cut in quote-to-bind on a commercial line moves agency premium growth. We treat insurance AI consulting as the discipline that lands all three without compromising the regulatory posture.
AI moves three numbers a carrier actually reports on: claims cycle time, underwriting throughput, and loss ratio held inside guardrails. Insurance is a basis-points business, so AI work that does not move combined ratio, retention, or expense ratio inside the first two quarters after go-live is theatre. We build to that math. Our claims AI engagements pair cycle-time targets with loss-ratio and indemnity-leakage guardrails so cycle-time-only optimization does not cause adverse selection. Straight-through-processing rates of 30% to 50% on simple lines (auto glass, simple property, small-dollar property) are achievable inside the guardrails when the triage model is properly designed and human review thresholds are calibrated.
Underwriting AI copilots compress quote-to-bind on commercial lines by 40% to 60% in our engagements, and the value lands inside the agency channel because brokers route premium toward carriers that quote and bind faster. Recent work: an auto claims triage rollout that handled 35% of simple losses straight-through with a $14M annualised retention impact, documented to the NAIC AI Model Bulletin governance pillars before the carrier’s next DOI cycle. The underlying retrieval design referenced our enterprise RAG consulting patterns for policy and bulletin lookups.
Yes, AI in insurance is regulated. The NAIC AI Model Bulletin (December 2023) holds carriers accountable for any AI system touching a rate or coverage decision, and individual state DOIs have adopted it with their own additions. State DOI inquiry letters arrive without warning, so every model we roll out inside a carrier carries:
We pre-coordinate the documentation pattern with your compliance officer and your state filings team. The audit becomes a byproduct of the build, not a workstream that starts at go-live.
Insurance AI consulting at Rockmere usually pairs three services on the engagement. The matrix below maps each service to where it lands inside a carrier.
| Service | Where it lands in the carrier |
|---|---|
| AI Transformation | Claims triage, underwriting copilots, fraud detection, and member-services AI, governed to the NAIC AI Model Bulletin |
| Lean operations consulting | Claims value-stream rework, FNOL-to-payment cycle time, and the daily management system that holds the gains past the 18-month drift point most prior initiatives hit |
| SAFe® consulting | Agile Release Trains spanning policy admin, billing, claims systems, and the data platform, with PI Planning aligned to state filing dependencies |
| Enterprise Agile coaching | Carrier IT shops where the central PMO has given up on Agile twice |
| Talent solutions | Embedded SPCT and senior AI engineers on long-cycle carrier programs |
We work alongside Guidewire, Duck Creek, and Majesco implementation partners. We are not one. The certified partner networks for those platforms own the platform layer. We roll out the AI, Lean operations, and scaled delivery layer that platform replacements alone do not deliver.
A Tier-1 P&C carrier needed to launch an Agile Release Train across policy admin and claims systems on a state-filing-aware cadence. The team rolled out the ART with 87% PI objective achievement in the first two PIs, with PI Planning scheduled around state filing windows. The full write-up is in the SAFe® ART Launch at an Insurance Carrier case study. Senior SPCT credentials behind that engagement are re-verified quarterly on the credentials page.
By the end of an insurance AI consulting engagement you have:
Bring us the line of business where cycle time, loss ratio, or a pending DOI filing is the constraint, and we will scope the engagement to that number. → Browse all Insurance case studies or talk to an Insurance lead.
Running a program like this in Insurance?
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