Insurance AI consulting. Underwriting, claims, and SAFe® at carrier scale.

Insurance AI consulting at carrier scale

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.

Where does AI move the needle in insurance?

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.

Regulatory shape: NAIC, state DOI, Solvency II

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:

• Documentation mapped to the NAIC AI Model Bulletin pillars: governance, risk management, third-party AI, testing, validation, monitoring, and consumer protection
• State-specific bulletin coverage for the strictest jurisdiction the carrier writes in (Colorado Regulation 10-1-1, New York DFS Section 7 guidance, California SB 142 and follow-on activity)
• Solvency II ORSA-compatible documentation for international carriers
• GLBA and the Cybersecurity Insurance Data Security Model Law mappings for data handling
• HIPAA mappings for Health line carriers (with crossover into our healthcare AI consulting practice)
• NAIC Model Audit Rule artifact preservation discipline

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.

Services we run in insurance

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.

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.

Case study: SAFe® ART launch at a P&C carrier

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.

What we do not do in insurance

• Implement Guidewire, Duck Creek, or Majesco platforms. Their certified partner networks own that work.
• Provide actuarial services. We work with your actuarial team. We do not replace them.
• Issue insurance regulatory legal opinions. Compliance and state-insurance counsel own those.
• Run direct-to-consumer growth marketing. Different vertical, different agencies.
• Push proprietary risk models past your model governance. Anything that touches rate or coverage runs through your established review. No shortcuts.

What success looks like

By the end of an insurance AI consulting engagement you have:

1. Cycle time reduced in the scoped value stream, with loss-ratio guardrails held
2. AI systems documented to the NAIC AI Model Bulletin and applicable State DOI standards, ready for inquiry
3. A claims, underwriting, or operations process running on a Lean management system with visible signals and clear escalation
4. SAFe® or Agile cadences integrated with state filing rhythms, audit windows, and reinsurance reporting schedules
5. Internal teams trained on the cadence so the practice continues past our engagement

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.

What we keep solving here

Outcomes you can measure

• 30–50% claims cycle-time reduction without headcount
• 100% NAIC AI Model Bulletin pillar coverage in the docs
• < 60d to state filing readiness for AI underwriting
• Zero adverse-action surprises at first audit

What you leave with

• NAIC AI Model Bulletin pillar-by-pillar documentation set
• State-DOI filing package framed to the most-restrictive applicable standard
• Adverse-action and bias monitoring dashboards wired to your data lake
• Carrier-side model risk committee sign-off
• Continuous monitoring runbook with drift and complaint thresholds