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Insurance for AI Companies

You build models, products and services that customers rely on. Your insurance review should start with what the technology does, how people use its output and the promises you make in your contracts—not simply the label ‘AI company.’

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Who we help

Coverage questions shaped around the use case

  • AI developers and model providers
  • AI-enabled SaaS and application businesses
  • Consultants, implementation firms and AI service providers

Coordinated coverage

Understand what each part of the program addresses

Technology errors & omissions

Discuss customer allegations that an error, failure or negligent service caused financial loss. Review whether the definition of covered services accurately describes your models, integrations and implementation work.

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Cyber & privacy liability

Review data access, security incidents, privacy allegations and available response services. Cyber and technology E&O address different exposures; coordinating them can help identify gaps and overlapping responsibilities.

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Media & intellectual property questions

Training data, licensed content and generated output can create disputes. Ask exactly which copyright or other IP allegations are addressed, and which are excluded. Patent, trade-secret and contractual indemnity exposures need separate scrutiny.

Management & employment liability

Funding, board oversight, hiring and workforce changes can introduce D&O and EPLI exposures. Review insured entities, investor requirements, exclusions and whether defense costs reduce available limits.

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Illustrative scenarios

Start with the loss you need to understand

An output leads to a customer loss

A customer alleges your AI-enabled workflow made an error that disrupted its business. The role of your service, the claimed loss, contractual promises and exclusions all affect the coverage review.

Customer data is exposed

An integration exposes information a customer entrusted to you. Discuss incident response, privacy liability, vendor responsibility and contractual notice duties before an event occurs.

An output prompts a rights dispute

A rights holder challenges content used in a product or generated by it. Review media and IP provisions rather than assuming a technology E&O policy covers every infringement allegation.

These examples are discussion points, not promises of coverage.

Policy review

Questions to ask before binding

  • Are model development, deployment, monitoring and consulting all described in the submission?
  • Do AI-specific exclusions, limitations or endorsements change the proposed coverage?
  • How are bodily injury, property damage, regulated uses and consequential losses treated?
  • Do warranties, performance guarantees or broad indemnities go beyond the policy?
  • What prior acts, retroactive dates, reporting deadlines and defense-cost provisions apply?

Quote preparation

What to have ready

  • Products, services, use cases and the customers or industries you serve.
  • Revenue, funding stage, staffing, territories and planned changes.
  • Sample customer contracts, service-level commitments and requested insurance limits.
  • Data sources, licensing practices, security controls, human review and model testing.
  • Third-party model and cloud dependencies, incident history and current policies.

Start with what you have. Keep confidential records, credentials and sensitive personal data out of the initial inquiry form.

Contracts first

Review the requirement before you promise it

Share customer insurance requirements and exact endorsement wording before quoting or binding. Insurer approval, additional premium or revised contract terms may be needed. A certificate does not change your policy.

Common questions

AI company insurance FAQs

Is there one policy called AI insurance?

AI-related risks can span several policies. The appropriate structure depends on your activities and the available terms. A product name alone does not establish that a particular AI use or loss is insured.

Does cyber insurance cover errors in an AI product?

Not automatically. A customer’s financial-loss allegation about product performance may raise technology E&O questions, while a data breach raises cyber and privacy questions. Review the policies together.

Can you guarantee coverage for our AI use case?

No. Eligibility and proposed terms depend on underwriting, and coverage for a claim depends on the facts and actual policy wording. Share high-impact or regulated uses at the beginning of the review.

When should we start the insurance conversation?

Before signing a significant customer contract, launching a new use case or completing a funding transaction. Early review gives you time to identify information requests and discuss terms without assuming an insurer will accept every requirement.

Related guidance

Keep the coverage conversation connected

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Tell us about your operation and deadline. We review the information needed for market submissions, then help you compare available terms, limitations and next steps.

Relationships come before policies.

Build the insurance review around what you’re building.

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General information only. Availability and terms depend on underwriting. Coverage for any claim depends on the facts and the actual policy terms, conditions, exclusions and endorsements. Submitting an inquiry does not bind or change coverage.