04 / AI & Machine Learning
Build intelligence. Protect what it makes possible.
From model development to enterprise deployment, AI creates obligations that extend beyond the technology itself. We help align insurance with your product, customer commitments, and growth plans, bringing clarity to performance, privacy, and liability exposures.
Start a conversation01 / THE INDUSTRY IN CONTEXT
- Private investment in U.S. AI companies in 2025.
- $285.9B
- [1]Stanford AI Index 2026, economy chapter (opens in a new tab)
- AI incidents documented in the AI Incident Database for 2025.
- 362
- [3]Stanford AI Index 2026 (opens in a new tab)
Figures describe industry scale, investment, or exposure. Dollar figures in USD.
02 / THE INSURANCE PERSPECTIVE
An AI loss does not require a cyberattack.
An inaccurate output, unexpected system behavior, or declining model performance can create losses without an attacker being involved. AI risk therefore raises questions about performance, liability, and policy wording. We examine how technology errors and omissions, cyber, and specialist AI coverage address your product, customer contracts, and oversight controls, helping clarify which exposures may be covered and which remain with the business.
03 / FLAGSHIP USE CASE
Illustrative scenarioDeploying an enterprise AI platform
An AI software company is rolling out a platform that reviews documents and recommends actions inside enterprise workflows. Customer data, third-party models, and integration partners all shape its performance. New contracts introduce service commitments and indemnities as deployments move from supervised pilots into wider business use.
Insurance priorities
Product performance
Review technology errors and omissions wording against the platform’s stated capabilities, validation process, human oversight, and consequences of inaccurate recommendations or failed integrations.
Data and dependencies
Examine cyber and privacy coverage alongside data permissions, model-provider arrangements, access controls, and response plans for an outage or unintended disclosure.
Customer commitments
Compare negotiated warranties, indemnities, and liability limits with insurance terms, documenting contractual obligations or performance assurances that the business may retain.
Build an insurance approach that reflects how customers use the platform, with product responsibilities, data exposures, and contractual commitments reviewed before broader deployment.
THE NEXT MOVE
Bring your next deployment into focus.
Tell us what your AI does, who relies on it, and where you’re headed. Let’s review the insurance implications.
Start a conversation