By Ryan Windt | Head of Growth Marketing | Updated March 2026
AI is everywhere. It’s in your product, your workflow, your client deliverables, and increasingly your contracts. And as AI adoption accelerates, so does the legal and financial exposure for the technology companies building and deploying it.
When an AI-driven tool produces a wrong output, a biased recommendation, or a failure that costs a client money, someone gets sued. That someone is usually the technology provider. This post breaks down the specific risks AI creates for tech companies, how Technology Errors and Omissions (Tech E&O) insurance responds, and what to look for in your policy if you’re building or deploying AI today.
What Is Tech E&O Insurance?
Technology Errors and Omissions insurance, also called Tech E&O or professional liability for technology companies, covers claims that your technology product or service failed to perform as promised and caused a client financial harm.
If your software crashes and a client loses a day of revenue, that’s a Tech E&O claim. If your platform gives a wrong recommendation that leads to a bad business decision, that’s a Tech E&O claim. If your AI model produces a biased output that exposes a client to a discrimination lawsuit, that can be a Tech E&O claim.
Tech E&O is distinct from cyber insurance, which covers losses from security incidents such as breaches, ransomware, and business interruption from an attack. Tech E&O covers performance failures. Many technology companies need both, and the two are increasingly bundled together because the line between a security incident and a performance failure is often blurry in practice.
How AI Is Changing the Risk Landscape for Tech Companies
Traditional Tech E&O claims were relatively straightforward. Software had a bug. A system went down. A service wasn’t delivered. The failure was identifiable and the causation was usually clear.
AI introduces a fundamentally different risk profile.
AI systems can fail in ways that are invisible until they cause harm. A model that gradually drifts from accurate to inaccurate outputs may not trigger an obvious error. It just quietly produces wrong answers until someone loses enough money to notice.
AI decisions are difficult to explain. When a client asks why your algorithm made a specific recommendation that cost them money, “the model determined it” is not a defensible answer in court. Explainability requirements are tightening both legally and contractually.
AI bias creates regulatory and civil liability. If your AI tool produces outcomes that systematically disadvantage a protected class in hiring, lending, healthcare triage, or any other high-stakes context, you are exposed to both regulatory investigation and class action litigation.
AI is increasingly embedded in mission-critical operations. When an AI-driven logistics platform fails, deliveries stop. When an AI-driven risk model misfires, financial decisions are made on bad data. The downstream consequences of AI failure are often larger and faster than traditional software failures.
The Specific AI Risks Tech E&O Covers
Model Errors and Faulty Outputs
This is the core coverage scenario. Your AI system produces an incorrect prediction, recommendation, or classification that a client relies on, and they suffer a financial loss as a result. Tech E&O covers your legal defense and any resulting damages or settlements.
Common examples include diagnostic tools in healthcare that miss a condition or suggest the wrong treatment protocol, financial modeling tools that generate inaccurate projections, fraud detection systems that fail to flag a transaction or flag a legitimate one, and recommendation engines that steer users toward harmful or inappropriate content.
Algorithmic Bias and Discrimination Claims
Regulators and plaintiffs’ attorneys are increasingly sophisticated about AI bias. If your model produces outcomes that have a disparate impact on a protected class, regardless of whether that was intentional, you face potential liability.
This is particularly acute in hiring technology (resume screening tools), lending platforms (credit scoring and approval tools), insurance technology (pricing and eligibility models), and healthcare AI (triage, diagnosis, and treatment recommendation tools).
Tech E&O can cover legal defense costs, regulatory investigations, and settlements arising from these claims.
System Failures and Downtime
If your AI platform is a core part of a client’s operations and it goes down, the business interruption losses they experience may come back to you as a damages claim. Tech E&O covers your exposure when client losses result from your technology failing to perform.
Scope Creep and Contract Liability
AI projects frequently evolve beyond their original scope. When a client argues that your tool didn’t deliver what was promised, whether that’s accuracy rates, uptime, or specific functionality, Tech E&O covers the resulting dispute.
What Tech E&O Does Not Cover
Understanding the limits of Tech E&O is as important as understanding what it covers.
Cyber incidents are separate. A ransomware attack that takes your platform offline is a cyber claim, not a Tech E&O claim. A data breach that exposes client data is a cyber claim. You need both policies if you want complete protection.
Intentional wrongdoing is excluded. If a claim alleges fraud or deliberate misrepresentation, Tech E&O won’t respond.
Bodily injury and property damage have limited coverage. Traditional Tech E&O is focused on economic and financial harm. If your AI system contributes to a physical injury in a medical device context, for example, the exposure may fall outside standard Tech E&O and require specialized coverage.
Intellectual property infringement. If a client claims your AI model was trained on their proprietary data without authorization, or that your outputs infringe on copyrighted material, standard Tech E&O may not cover it. AI-specific IP exposure is an emerging and unsettled area of coverage that deserves close attention in your policy review.
How the AI Regulatory Environment Is Raising the Stakes
The legal and regulatory landscape around AI liability is moving fast, and it is moving toward more accountability for technology providers.
The EU AI Act is the most comprehensive AI regulation currently in force. It creates tiered requirements based on risk level and places significant obligations on providers of high-risk AI systems, which includes tools used in healthcare, financial services, employment, and critical infrastructure. U.S. companies selling into the EU are subject to it.
The FTC has signaled increasing scrutiny of algorithmic accountability and has brought actions against companies whose AI tools produced discriminatory or deceptive outputs. The CFPB has issued guidance requiring explainability for credit-related AI decisions.
Several states, including California, Colorado, and Illinois, have passed or are advancing AI-specific legislation covering transparency, bias auditing, and consumer rights.
Client contracts are also evolving. Enterprises increasingly include specific AI performance warranties, accuracy benchmarks, audit rights, and liability clauses in technology vendor agreements. If your contract promises an accuracy rate and your model underperforms, you have contractual exposure on top of tort exposure.
The practical implication: the risk of an AI-related Tech E&O claim is higher today than it was two years ago, and it will be higher two years from now than it is today.
What to Look for in Your Tech E&O Policy If You’re Building AI
Not all Tech E&O policies are built for AI-era risk. When reviewing your policy, look for these specific provisions.
AI-specific coverage language. Some carriers have begun including explicit coverage for AI-related claims. Others have added exclusions for certain AI risks. Read the policy language carefully, as a generic Tech E&O policy written three years ago may not contemplate your current AI exposure.
Scope of covered services. Make sure your policy’s definition of covered technology services includes AI development, training, deployment, and ongoing model management. If you’ve added AI capabilities to your product since your last renewal, confirm they’re within scope.
Regulatory defense coverage. If you operate in a regulated industry or sell to clients in regulated industries, confirm your policy covers regulatory investigations and proceedings, not just civil litigation.
Sublimits on specific claim types. Some policies apply lower sublimits to specific claim categories. Know what your actual coverage is for a bias claim, a model failure claim, and a regulatory investigation, not just the headline limit.
Retroactive date. Claims-made policies only cover claims arising from services provided after the retroactive date. If you’ve been providing AI-related services for several years, make sure your retroactive date reflects that history.
Tech E&O vs. Cyber: Why AI Companies Often Need Both
A common question for technology companies building AI is whether Tech E&O or cyber insurance is more important. The answer for most AI companies is that you need both, and they cover fundamentally different things.
| Scenario | Tech E&O Responds | Cyber Responds |
|---|---|---|
| AI model produces wrong output, client sues | Yes | No |
| Ransomware takes your platform offline | No | Yes |
| Data breach exposes client data | No | Yes |
| Client claims AI tool didn’t perform as promised | Yes | No |
| Bias claim from affected third party | Yes | No |
| Business interruption from your own system failure | Yes (client claims) | Yes (your losses) |
| Regulatory investigation for AI discrimination | Yes | No |
| Social engineering attack results in wire fraud | No | Yes |
The overlap zone, where both policies may be relevant, is growing as AI systems become more deeply embedded in business operations. A single incident can trigger both a performance claim and a security investigation simultaneously.
Frequently Asked Questions
Does my existing professional liability policy cover AI claims?
It depends on the policy language. Traditional professional liability was written for service businesses such as consultants, accountants, and lawyers. Tech E&O is the technology-sector equivalent and is specifically designed to cover software and technology product failures. If you’re a technology company, generic professional liability is likely inadequate for AI-related exposure.
We’re a small AI startup. Do we need Tech E&O already?
Yes, and in many cases you need it before you think you do. Enterprise clients frequently require Tech E&O as a condition of signing a vendor agreement. If you’re pitching to any company with a procurement or legal team, expect to provide a certificate of insurance. Getting covered before you need it for a contract avoids a last-minute scramble.
How is Tech E&O priced for AI companies?
Underwriters look at the type of AI you’re building, the industries you serve, the risk level of the decisions your AI influences, and the strength of your QA and testing processes. High-risk AI, meaning tools that influence healthcare, financial, or employment decisions, carries higher premiums than lower-stakes applications. Documented bias testing, model monitoring, and explainability practices can positively impact your rate.
What’s the difference between Tech E&O and product liability?
Tech E&O covers economic and financial harm resulting from technology failures. Product liability covers physical injury or property damage from a defective product. For AI systems embedded in physical devices such as medical equipment, autonomous vehicles, or industrial machinery, you may need both.
Does Tech E&O cover open-source AI models we’ve built on top of?
This is an emerging area with limited case law. Carriers are evaluating it differently. If your product relies heavily on third-party or open-source foundation models, discuss this specifically with your underwriter to confirm how your policy responds to a claim that originates from a defect in the underlying model.
Ready to get coverage that’s built for the way you actually build? Get a quote at SeedPod Cyber and we’ll walk you through your Tech E&O and cyber options together.