What TRAIGA Requires From Texas AI Startups: Compliance, Governance, and Enforcement

If you are building or deploying an AI product in Texas, you now operate under one of the first comprehensive state-level AI governance laws in the United States. The Texas Responsible AI Governance Act -- TRAIGA, enacted as House Bill 149 -- was signed by Governor Abbott on June 22, 2025, and took effect on January 1, 2026. It creates enforceable obligations for developers and deployers of AI systems, grants the Texas Attorney General exclusive enforcement authority, and carries civil penalties reaching $200,000 per violation.

We have written about what TRAIGA requires at a high level and published a 90-day compliance plan for Texas tech companies. This guide goes deeper into the specific compliance obligations that founders building AI products need to understand: which systems trigger TRAIGA, what documentation and governance practices you need, how the enforcement process works, and how TRAIGA intersects with the Colorado AI Act, the EU AI Act, and ongoing FTC enforcement.

Who TRAIGA Applies To and What It Covers

TRAIGA's applicability provision is broad. The law applies to any person who (1) promotes, advertises, or conducts business in Texas; (2) produces a product or service used by Texas residents; or (3) develops or deploys an AI system in Texas. (HB 149, Sec. 551.002). You do not need to be headquartered in Texas. If your AI system affects Texas residents, you are within TRAIGA's reach.

The law defines two key roles. A developer is a person who develops an AI system that is offered, sold, leased, given, or otherwise provided in Texas. A deployer is a person who deploys an AI system for use in Texas. (HB 149, Sec. 552.001). If you build AI models and sell them to Texas customers, you are a developer. If you integrate a third-party AI model into your product and serve Texas users, you are a deployer. Many startups are both.

TRAIGA defines an "artificial intelligence system" as "any machine-based system that, for any explicit or implicit objective, infers from the inputs the system receives how to generate outputs, including content, decisions, predictions, or recommendations, that can influence physical or virtual environments." (HB 149, Sec. 551.001). This definition is deliberately broad -- it captures everything from LLM-powered chatbots to recommendation engines to automated decision systems. If your product uses machine learning to generate outputs that influence user behavior or environments, it likely falls within TRAIGA's scope.

One important limitation: TRAIGA's definition of "consumer" covers only individuals acting in an individual or household context -- not in a commercial or employment context. (HB 149, Sec. 551.001(2)). This means B2B AI tools used purely in employment or commercial settings may face less exposure under certain TRAIGA provisions, though the prohibited-practice rules apply regardless of the consumer context.

Prohibited AI Practices: The Bright Lines

TRAIGA establishes prohibited uses of AI that apply to all persons -- not just government entities. The law prohibits developing or deploying an AI system in a manner that intentionally aims to:

• Incite or encourage a person to commit physical self-harm, harm another person, or engage in criminal activity; (HB 149, Sec. 552.052)
• Infringe, restrict, or otherwise impair an individual's rights guaranteed under the U.S. Constitution; (HB 149, Sec. 552.055)
• Unlawfully discriminate against a protected class in violation of state or federal law. Notably, the law explicitly does not recognize "disparate impact" alone as sufficient to demonstrate an intent to discriminate. (HB 149, Sec. 552.056)
• Produce or distribute certain sexually explicit content or child pornography, including deepfakes. (HB 149, Sec. 552.057)

For government entities specifically, TRAIGA additionally prohibits AI systems for social scoring and biometric identification of specific individuals without consent. (HB 149, Sec. 552.053-552.054).

The critical distinction here is that TRAIGA takes an intent-based approach. Unlike Colorado's AI Act, which focuses on whether your AI system caused algorithmic discrimination (an impact-based model), Texas asks what your system was designed or deployed to do. If your system was built with the intent to engage in a prohibited practice -- even if no harm has yet occurred -- you are in violation. This means your compliance documentation must demonstrate the legitimate design intent behind each AI system and show that prohibited uses were actively screened against.

Disclosure Obligations: What You Must Tell Users

TRAIGA imposes disclosure requirements primarily on governmental agencies that use AI systems to interact with consumers. Before or at the time of interaction, the agency must disclose that the consumer is interacting with an AI system -- regardless of whether it would be obvious to a reasonable person. The disclosure must be clear and conspicuous, written in plain language, and may not use dark patterns. (HB 149, Sec. 552.051).

For private-sector startups, the direct disclosure obligation is narrower. However, if your AI system is used in relation to health care services or treatment, the provider must disclose AI use to the recipient not later than the date the service is first provided. (HB 149, Sec. 552.051(f)). If your startup builds AI tools for the healthcare sector, this disclosure requirement flows through to your customers -- and your product should support their ability to comply.

Additionally, TRAIGA amends Texas's existing privacy laws to clarify that processors must assist controllers with requirements relating to personal data collected, stored, and processed by AI systems, and with data protection assessments. (HB 149, Sec. 541.104). If you process personal data through AI on behalf of a controller, your contracts and data handling must support their compliance obligations.

Governance Documentation and the NIST Safe Harbor

TRAIGA does not mandate a specific governance framework or impact assessment template for private-sector developers and deployers -- unlike Colorado's AI Act, which requires annual impact assessments for high-risk systems. But TRAIGA creates a powerful incentive to adopt recognized governance frameworks through its safe harbor provision.

A person is not liable under TRAIGA if they substantially comply with the NIST AI Risk Management Framework (AI RMF) or a similar nationally or internationally recognized framework. (HB 149, Sec. 552.105). This safe harbor is the single most important compliance lever in the law. By aligning your AI governance program with NIST AI RMF, you build an affirmative defense that can reduce or eliminate liability if the AG initiates enforcement.

We have written in detail about why NIST AI RMF compliance is now a business decision for Texas companies. The practical takeaway for founders: if you implement structured governance around the NIST framework's four functions -- Govern, Map, Measure, and Manage -- you are building both a compliance program and a legal defense simultaneously.

TRAIGA also provides safe harbors when a third party misuses your AI in a prohibited manner, or when you discover a violation through good-faith testing, adversarial testing, or red-team testing. (HB 149, Sec. 552.105). This means that building testing and auditing into your development process is not just good engineering -- it is a legal protection.

Enforcement: The Texas AG and the Cure Period

The Texas Attorney General has exclusive enforcement authority under TRAIGA. There is no private right of action -- individuals cannot sue you directly. (Greenberg Traurig, June 2025). The AG must maintain an online mechanism for consumers to submit complaints, and may issue civil investigative demands based on those complaints.

Before the AG can bring an enforcement action, the alleged violator must receive written notice and a 60-day opportunity to cure the violation, provide supporting documentation showing the cure, and update internal policies to prevent further violation. (HB 149, Sec. 552.104). This cure period is a significant advantage over Colorado's AI Act, which provides no cure window before enforcement.

Civil penalties under TRAIGA are structured in three tiers:

• Curable violations: $10,000 to $12,000 per violation
• Uncurable violations: $80,000 to $200,000 per violation
• Ongoing violations: $2,000 to $40,000 per day

The AG may also seek injunctive relief, attorneys' fees, and investigative costs. (Greenberg Traurig, June 2025). If the AG finds that a licensed, registered, or certified person has violated TRAIGA, the relevant state agency may impose additional sanctions -- including license suspension or fines up to $100,000.

Importantly, the AG may not bring an action to collect civil penalties against a person for an AI system that has not been deployed. (Wiley, June 2025). This means pre-deployment development activities alone do not trigger penalty exposure -- but once your system is in the hands of Texas users, the clock starts.

How TRAIGA Compares to Colorado, the EU, and FTC Enforcement

If your startup serves users in multiple states or internationally, TRAIGA is one piece of a larger compliance puzzle. Understanding how it differs from other frameworks helps you build a unified compliance program rather than parallel ones.

Colorado AI Act (SB 24-205)

Colorado's AI Act, signed May 17, 2024, and effective February 1, 2026, takes an impact-based approach. It requires developers and deployers of "high-risk" AI systems -- systems that make or are a substantial factor in making consequential decisions about consumers (employment, housing, credit, insurance, healthcare, education, government services) -- to use reasonable care to protect consumers from algorithmic discrimination. (Colorado General Assembly, SB 24-205).

Colorado mandates specific compliance activities that TRAIGA does not: annual impact assessments, risk management policies, public statements about high-risk systems, consumer notice when AI drives consequential decisions, and 90-day reporting of discovered algorithmic discrimination to the AG. Colorado also provides an affirmative defense for compliance with a recognized risk management framework -- similar to TRAIGA's NIST safe harbor -- but the obligations are more prescriptive.

For Texas startups serving Colorado users, the practical implication: your NIST AI RMF alignment satisfies Texas's safe harbor and provides a foundation for Colorado compliance, but you will need to add Colorado-specific elements -- impact assessments, consumer notice flows, and AG reporting protocols -- that TRAIGA does not require.

EU AI Act

The EU AI Act establishes a risk-tiered framework that classifies AI systems as prohibited, high-risk, limited-risk, or minimal-risk. High-risk systems -- which include AI used in biometric identification, critical infrastructure, education, employment, essential services, law enforcement, and democratic processes -- are subject to extensive requirements including risk management systems, data governance, technical documentation, record-keeping, transparency, human oversight, and accuracy requirements. (EU AI Act, Article 6).

If your Texas startup serves EU users, the EU AI Act's high-risk classification and documentation requirements are significantly more demanding than TRAIGA's. However, building your governance documentation to meet the EU's high-risk system requirements would substantially exceed TRAIGA's baseline and position you well for multi-jurisdiction compliance.

FTC Enforcement

Separate from state AI laws, the FTC enforces Section 5 of the FTC Act against unfair or deceptive practices involving AI. In September 2024, the FTC launched "Operation AI Comply," a crackdown on deceptive AI claims and schemes that resulted in enforcement actions against multiple companies. (Mintz, Oct. 2024). The FTC has continued bringing "AI-washing" cases -- targeting companies that overstate or misrepresent their AI capabilities.

For Texas AI startups, FTC enforcement and TRAIGA compliance are parallel tracks. The FTC focuses on deceptive marketing and consumer harm; TRAIGA focuses on prohibited practices and design intent. A startup that accurately represents its AI capabilities and implements NIST-aligned governance addresses both regulatory vectors simultaneously.

The Regulatory Sandbox and the Federal Moratorium

TRAIGA establishes a regulatory sandbox program administered by the Texas Department of Information Resources, in consultation with the Texas Artificial Intelligence Council. The sandbox allows companies to test innovative AI systems in a controlled environment with legal protection and limited market access without full regulatory compliance. (HB 149, Sec. 553). For early-stage startups developing novel AI products, sandbox participation can provide a compliance-friendly testing environment.

Founders should also be aware of the proposed federal AI moratorium. A provision in the federal "One Big Beautiful Bill" Act would impose a 10-year moratorium on state-level AI laws, which would preempt TRAIGA along with other state AI statutes. (Greenberg Traurig, June 2025). As of this writing, the moratorium's status remains uncertain. Texas startups should plan for TRAIGA compliance now rather than betting on federal preemption.

Actionable Next Steps

If you are a Texas-based AI startup, here is what we recommend you do -- in order -- to build a defensible TRAIGA compliance posture:

1. Inventory every AI system you develop or deploy. Document each system's purpose, inputs, outputs, intended use cases, and Texas user exposure. Include third-party AI tools you integrate -- chatbots, recommendation engines, automated decision systems. If you cannot produce this inventory, you cannot assess your TRAIGA exposure.
2. Screen each system against TRAIGA's prohibited practices. For every AI system in your inventory, document that its design intent does not align with any prohibited use -- inciting harm, infringing constitutional rights, unlawful discrimination, or producing prohibited content. This intent-based screening is your primary compliance documentation.
3. Align your governance program with NIST AI RMF. The NIST framework's four functions -- Govern, Map, Measure, and Manage -- give you both a compliance program and an affirmative defense. Document your policies, risk assessments, testing protocols, and mitigation measures. Substantial compliance with NIST AI RMF is your safe harbor under TRAIGA.
4. Implement testing and auditing procedures. TRAIGA provides safe harbor for violations discovered through good-faith testing, adversarial testing, or red-team testing. Build these practices into your development pipeline -- they are both engineering best practice and legal protection.
5. Review your privacy and data processing agreements. TRAIGA amends Texas privacy laws to require processors to assist controllers with AI-related data protection assessments. Ensure your vendor agreements and DPAs address AI-specific data handling.
6. Assess multi-jurisdiction exposure. If you serve users in Colorado, the EU, or other jurisdictions with AI regulations, map your TRAIGA compliance against those frameworks. Build on NIST as the common foundation and add jurisdiction-specific elements -- impact assessments for Colorado, high-risk system documentation for the EU.
7. Consider the regulatory sandbox. If you are developing a novel AI product, explore TRAIGA's sandbox program for compliance-friendly testing before full deployment.
8. Prepare for the cure period. If the AG sends a notice of violation, you have 60 days to cure. Build internal response procedures so that you can act within that window -- not after it closes.
9. Engage counsel before deployment. The cost of a pre-deployment compliance review is a fraction of the cost of an AG enforcement action. If you are building AI in Texas, bring counsel into your product roadmap before launch -- not after a regulatory letter arrives.

TRAIGA is not a future risk. It is a current compliance obligation with real penalties and an enforcement infrastructure that is building capacity. The startups that treat AI governance as a product requirement -- not a legal afterthought -- will be the ones that scale without regulatory disruption.