Am I Liable If My AI Agent Makes a Mistake?

You shipped the agent feature.

It drafts documents. It makes recommendations. It can take action on a customer’s behalf instead of simply answering questions.

Then it does something you did not intend.

Who is responsible?

That question becomes much harder once your software starts acting rather than simply generating text. The legal and commercial risks for an agentic product can be very different from those associated with a traditional chatbot.

Once Your AI Starts Acting, the Risk Changes

A chatbot generally responds to a user. An agent can take the next step.

It may draft and send a document, execute a transaction, make a recommendation, or perform another task without the same level of human review.

That distinction is already appearing in litigation. In Nippon Life Insurance Co. v. OpenAI, the allegations involve an AI system that allegedly went beyond providing information and effectively practiced law by autonomously drafting legal filings for a consumer. Legal analysts have treated the dispute as raising product liability questions rather than simply being a chatbot dispute.

For startups, the lesson is practical:

The moment your product begins taking action, review whether your legal documents still describe what the product actually does.

Your Terms May Not Match Your Product Anymore

Many startup terms of service were written when the product was essentially software that users operated themselves.

An agent changes that relationship.

The company may now be authorizing software to act on the customer’s behalf.

That creates what analysts have described as a broader “liability gap.” Startups are deploying agentic features faster than their contracts, disclaimers, and other legal documents are being updated to address those actions.

That gap matters when something goes wrong.

If your terms describe a tool that merely generates content but your product actually sends emails, executes transactions, drafts legal documents, or makes decisions for users, the contract may not adequately address the risk created by those actions.

Texas Already Has an AI Law in Effect

This is not only a future regulatory issue.

The Texas Responsible AI Governance Act, or TRAIGA, took effect on January 1, 2026. It creates additional requirements for companies deploying AI systems and provides an active regulatory framework for businesses with relevant Texas operations or customers.

If your product is available in Texas, you should determine whether the law applies to your specific system and use case.

Do not wait for an enforcement action or customer complaint to start that analysis.

Your AI Vendor’s Contract Does Not Make the Risk Disappear

Founders sometimes assume the model provider will carry the liability because the provider supplied the underlying AI system.

That assumption can be dangerous.

Vendor terms increasingly place responsibility on the company deploying the model. The provider may limit its responsibility for how your business uses the technology, leaving your company responsible for the actions your own product takes.

So reviewing your own terms is only half the job.

You should also understand what your AI vendor’s agreement says about liability, permitted uses, indemnification, and your responsibilities as the deployer.

Define What Your Agent Is Allowed to Do

One of the most important questions is surprisingly basic:

What exactly have you authorized the agent to do?

If the answer is “whatever the customer asks,” you may have a problem.

Your product should have clear boundaries around the actions the agent can take. That becomes particularly important when the agent can create documents, execute transactions, or make recommendations that customers rely on.

The more authority your software has, the more important it becomes to define that authority clearly.

You should know when human confirmation is required and what happens if the agent attempts an action outside its permitted scope.

Common Founder Mistakes

• Reusing a generic AI disclaimer: Founders may launch an agent that takes real-world actions while keeping the same disclaimer they used for a chatbot. A statement saying that AI-generated content may contain errors does not necessarily address autonomous document drafting, actions taken on a customer’s behalf, or financial and legal consequences created by the agent’s decisions.
• Assuming the model vendor protects the company: Founders may review their own terms and assume the AI provider’s agreement fills any remaining liability gap. But vendor terms can place responsibility on the company deploying the model. If your product causes the problem, the fact that another company supplied the underlying model may not protect you from the consequences.
• Giving the agent undefined authority: A startup may give its agent broad access without clearly documenting what it can draft, send, execute, or recommend. That can create an apparent-authority problem if a customer reasonably believes the agent is authorized to act and the company later argues that the agent exceeded its intended scope.
• Launching without reviewing state-specific requirements: Founders may focus on getting the feature live and postpone the regulatory analysis. But TRAIGA has been effective since January 1, 2026. If your company has customers or operations connected to Texas, the relevant requirements should be reviewed before launch rather than after a problem occurs.

10-Minute Agent Liability Self-Check

Before launching your next agent feature, ask:

• Do our terms address autonomous actions rather than only AI-generated content?
• Have we clearly documented what the agent can do on a customer’s behalf?
• When does the product require human confirmation?
• What does our AI vendor’s agreement say about downstream liability?
• Have we reviewed whether TRAIGA or another state law applies?
• Does our liability cap account for the risks created by agentic features?
• Can we clearly explain who is responsible if the agent acts outside its permitted scope?

If you cannot answer these questions confidently, the feature may not be ready for launch.

Bottom Line

An AI agent that acts is not simply a more advanced chatbot.

It creates a different risk profile because the software can take actions that have legal, financial, or commercial consequences.

Your contracts should match what your product actually does.

Before launch, define the agent’s authority, review your vendor terms, update your terms of service, check applicable state requirements, and make sure your liability provisions address autonomous actions.

The cheapest time to close the gap between your product and your legal documents is before the agent makes its first mistake.

Is Your Product Launch Ready for What Your AI Agent Actually Does?

Join our Product Launch Master Class on September 29, 2026 to learn how to identify legal risks before launch and determine which agreements and policies your business may need.

Register here: Product Launch Master Class