The Texas Responsible AI Governance Act (TRAIGA) creates binding compliance obligations for any organization that deploys AI systems to make or assist in consequential decisions affecting Texas residents — regardless of where the organization is headquartered. This guide covers who must comply, the six core requirements, the enforcement timeline, and how to build an audit-ready program.
Who must comply with TRAIGA
TRAIGA applies to deployers — organizations that use AI systems developed by others — and developers — organizations that build AI systems for deployment by others. The obligations differ between these two roles, but both are covered.
A deployer is subject to TRAIGA if it meets all three conditions:
- Uses an AI system in consequential decisions
- Those decisions affect individuals who are Texas residents at the time of the decision
- The organization has annual revenue exceeding the applicable threshold (or is a regulated entity regardless of revenue)
Geographic headquarters does not matter. A company based in California, New York, or outside the United States is subject to TRAIGA if its AI systems affect Texas residents. This extraterritorial reach mirrors the GDPR model and is one of the most commonly misunderstood aspects of the law.
What counts as a consequential decision
TRAIGA's obligations are triggered by AI use in consequential decisions — decisions that have a material effect on an individual's access to, cost of, or terms of:
- Employment or employment opportunities
- Education or educational opportunities
- Financial products or services (credit, insurance, banking)
- Healthcare services
- Housing or real estate
- Legal services or civil rights
- Essential government services
AI use in internal operations, marketing analytics, or non-consequential product features generally falls outside this definition — though organizations should conduct a formal scope assessment rather than assuming exclusion.
The six core TRAIGA requirements
1. AI System Inventory
Deployers must maintain a documented inventory of every AI system used in consequential decisions. The inventory must include, at minimum: the system's purpose, its vendor (if third-party), the types of decisions it influences, the data it processes, the risk classification, and the oversight mechanisms in place.
Critically, the inventory must be current. An inventory that accurately described your AI portfolio six months ago but has not been updated to reflect new systems, vendors, or use cases does not satisfy the requirement.
2. Risk Assessment
Each inventoried AI system must be evaluated through a structured risk assessment. The assessment must produce a risk classification — LOW, MODERATE, HIGH, or CRITICAL — with a documented rationale traceable to specific evaluation criteria. Subjective classifications without documented support do not satisfy this requirement.
3. Governance Controls
Based on the risk assessment, deployers must implement governance controls proportionate to the identified risk level. Higher-risk systems require more extensive controls: human oversight mechanisms, bias monitoring, incident response procedures, and regular review cycles.
4. AI Disclosures
Individuals subject to consequential AI-assisted decisions must receive proactive disclosure that an AI system was used, the system's general purpose, its risk classification, and how to request human review. Disclosures must be in plain language and must accurately reflect the current state of the system — stale disclosures based on outdated inventory data are a compliance failure.
5. Incident Management
Deployers must maintain a process for identifying, logging, investigating, and resolving AI incidents — situations where an AI system produced an erroneous, biased, or harmful output. The program must include defined severity levels, escalation paths, and external reporting procedures for high-severity incidents.
6. Executive Certification
TRAIGA requires formal executive attestation that the organization's AI governance program is in compliance. The certifying executive must have reviewed the program — the inventory, risk assessments, controls, and disclosures — before signing. Certification creates personal accountability.
Enforcement timeline and penalties
| Phase | Date | What happens |
|---|---|---|
| TRAIGA in force | Now | Compliance obligations are active. Organizations should already have programs in place. |
| AG enforcement begins | Ongoing | The Texas Attorney General can investigate, issue civil investigative demands, and bring enforcement actions. |
| Civil penalties | Per violation | Fines up to $10,000 per violation per day for knowing violations. Repeat or willful violations face multiplied penalties. |
There is no private right of action under TRAIGA — enforcement is exclusively through the AG's office. However, TRAIGA violations can also create exposure under related state and federal statutes that do allow private suits.
TRAIGA compliance checklist
AI system inventory is documented and current
Every inventoried system has a completed risk assessment with documented rationale
Risk classifications are deterministic and auditable
Governance controls are implemented (not just documented) for each system
Controls are proportionate to the risk level of each system
Disclosure statements are generated for all systems in consequential use
Disclosures are proactively provided (not just available on request)
AI incident management process is defined and operational
Incident response has defined severity levels and escalation paths
Executive certification has been completed and documented
Review schedule is established for periodic re-assessment
How to get compliant fast
The fastest path to TRAIGA compliance follows a specific sequence. Do not start with policies or certifications — start with your inventory. You cannot assess, control, or disclose systems you have not identified.
- Scope assessment (Week 1): Identify every AI system in use and determine which ones are in scope for TRAIGA. Cast wide — it is better to over-include initially and narrow down than to miss a covered system.
- Inventory and registration (Weeks 1–2): Register every in-scope system in a structured inventory with the required fields. Purpose-built software does this in hours; spreadsheets take weeks and create ongoing maintenance debt.
- Risk assessments (Weeks 2–4): Complete a structured questionnaire-based risk assessment for each system. The questionnaire must produce an auditable classification — a regulator must be able to verify the classification from the documented answers.
- Controls and disclosures (Weeks 3–6): Implement the required controls, generate disclosure statements, and establish review schedules. This is where automation provides the most leverage.
- Executive certification (Week 6+): Once the program is operational, obtain executive certification. Do not certify before the underlying program is actually in place.
The cost of waiting
Organizations that have not started their TRAIGA compliance program are accumulating regulatory exposure daily. The AG's enforcement authority is active, and the structure of the law means that a complaint from any affected individual can trigger an investigation.
A complete TRAIGA compliance program takes 4–6 weeks with purpose-built software. Starting now compresses the exposure window and positions the organization for the additional AI governance requirements that are coming from the EU AI Act, Colorado AI Act, and federal regulation.