Inception Agents
Insurance
When AI compares policies, clarity wins.
42% of drivers have already used AI to shop for car insurance. 86% trust AI to help them buy. Insurance was the fastest AI adoption in any regulated sector — jumping from 8% to 34% in a single year.
of drivers used AI to shop for car insurance
trust AI to help them buy insurance
would switch if AI found $1K+ savings
AI in insurance market by 2032 (from $4.6B)
The 3-second comparison
The comparison sale now happens inside the AI conversation.
Insurance has always been a comparison sale. Customers have always shopped multiple quotes before choosing. What changed is the medium: instead of visiting five websites and filling out five quote forms, consumers now ask a single AI agent to compare coverage, premiums, exclusions, and claims processes across carriers simultaneously.
The comparison happens in seconds. Coverage details, premium ranges, exclusion language, and claims process descriptions are parsed and ranked. The carrier whose data is most complete and clearest to parse is best positioned to be recommended — regardless of whether it is the cheapest option.
39% of consumers trust AI enough to switch carriers based on its recommendation. That number jumps to 68% when the AI identifies more than $1,000 in potential savings.
What an agent compares in seconds
Coverage limits and deductibles
Parsed from structured product data, not marketing copy
Premium ranges by coverage tier
Side-by-side comparison across carriers
Exclusions and limitations
What is not covered matters as much as what is
Claims process and satisfaction
Claims ratio, average resolution time, customer ratings
Carrier financial strength
AM Best ratings, complaint ratios, years in operation
Agents cannot fill out your quote form
Most insurance carriers hide product details behind quote buttons and multi-step forms. AI agents cannot interact with forms. They parse structured data. Coverage that only exists behind a "Get a Quote" button is invisible to every AI agent evaluating your products.
What agents cannot see
Coverage details locked behind quote forms
Premium ranges requiring personal information input
Policy comparisons inside authenticated dashboards
Discount programs described only in PDF documents
What agents can parse
Structured coverage data in JSON-LD
Premium ranges by coverage tier on product pages
Machine-readable exclusion and limitation summaries
Claims process descriptions with structured metrics
What agents evaluate
When an AI agent compares insurance products, it evaluates five dimensions. The carrier that provides the most complete data across all five is best positioned for recommendation.
Coverage clarity
What is covered, what is not, and under what conditions. Agents need unambiguous coverage descriptions to make accurate comparisons and recommendations.
Premium transparency
Rate ranges by coverage tier, discount programs, and how premiums change with deductible choices. Agents cannot recommend a product they cannot price.
Claims process
How to file, average resolution time, claims satisfaction scores, and digital claims capabilities. The claims experience is a primary differentiator in AI comparisons.
Carrier trust signals
AM Best ratings, complaint ratios, financial strength indicators, and years of operation. Agents weigh these structured trust signals heavily in regulated product recommendations.
Differentiation
What makes your product different from the next three options. Unique coverage features, bundling options, or service commitments that an agent can cite in its reasoning.
Policy flexibility
Coverage customization options, add-on availability, and how easily policies can be adjusted. Agents value products that can be tailored to a consumer's stated needs.
The fastest-moving regulated sector
Insurance AI adoption jumped from 8% to 34% in one year.
No other regulated industry saw adoption growth this steep. Consumer comfort with AI-assisted insurance shopping is not just growing — it has already reached a tipping point. 81% of insurance CEOs now cite generative AI as a top strategic priority.
By Q4 2025, 1 in 3 insurers had AI agents in production. 75% of insurtech venture funding is flowing into AI-driven solutions. The carriers that optimize for this shift now will capture the audience that is already here.
of insurance CEOs prioritize generative AI as a strategic initiative
insurers had AI agents in production by Q4 2025
of insurtech venture funding is directed toward AI solutions
projected AI in insurance market by 2032, up from $4.6B today
Compliance & privacy
Built for regulated data
Insurance data carries regulatory obligations. Our platform is designed with the security controls and data isolation your compliance team requires.
SOC 2 Type II
Audited security controls with continuous monitoring. Your product data is protected by enterprise-grade security infrastructure.
Row-Level Security
Every data record is scoped to your organization. Multi-tenant architecture with cryptographic isolation ensures your data is never exposed to other customers.
Data Isolation
Internal product data, competitive intelligence, and proprietary rate structures are never shared across the network. Your data trains your models, not anyone else's.
Audit Trail
Complete logging of all content changes, agent interactions, and deployment events. Exportable for regulatory review and internal compliance audits.
Talk to our team about insurance optimization.
See how AI agents currently compare your coverage — and where you can improve your position.