How we support this sector
- AI-driven underwriting and pricing strategy
- Claims automation and fraud detection planning
- Distribution and agency channel modernization
- InsurTech partnership and build-vs-buy evaluation
- Data strategy for actuarial and analytics modernization
- AI governance for model risk and regulatory compliance
Typical deliverables
- Underwriting AI strategy and roadmaps
- Claims automation feasibility assessments
- Distribution technology strategies
- InsurTech landscape analysis and vendor evaluation
- Data governance and quality frameworks
- Model risk management recommendations
- AI operating model designs
- Business case and ROI analyses
Sector expertise
Insurance is among the most data-intensive industries, yet many carriers still operate with fragmented data, legacy systems, and manual processes across underwriting, claims, and distribution. AI offers transformative potential, but the regulatory environment and model risk requirements demand careful, well-governed adoption.
We help insurers cut through vendor hype to identify where AI genuinely moves the needle — and where it introduces risk that requires mitigation. Our advice is independent of any technology vendor or implementation partner.
Common questions
Do you work with both carriers and MGAs?
Yes. We advise carriers of all sizes, managing general agents, reinsurers, and InsurTech firms. Each has distinct AI opportunities and constraints that we account for in our advisory.
Can you help with underwriting model development?
We advise on underwriting AI strategy, data requirements, vendor selection, and governance. We do not build models ourselves but ensure your strategy for AI-powered underwriting is sound and well-governed.
How do you handle regulatory concerns around AI in insurance?
We help develop governance frameworks aligned with state and federal requirements around AI in insurance, including fair pricing, algorithmic transparency, and model documentation. We do not provide legal advice.
What about legacy system constraints?
We help carriers develop pragmatic strategies that account for legacy policy administration and claims systems, identifying where AI can be layered in versus where core modernization is needed first.