TEXAS, USARESPONSIBLE AI GOVERNANCE ACT (HB 149)FORTHCOMING

Texas RAIGA — sector-specific responsible AI governance.

How Hael produces the AI inventory and governance documentation HB 149 requires — sector-specific obligations mapped, generated and sealed against live operational state.

Sector

Tailoring approach

Multi

Industry coverage

Enforcement authority

TX OAG

Guidance issuer

What Texas RAIGA requires

Texas HB 149 — the Responsible AI Governance Act — takes a sector-specific approach to AI governance, layering obligations onto state-regulated industries rather than enacting a horizontal AI law. Coverage spans financial services regulated by the Texas Department of Banking, healthcare regulated by the Texas Department of State Health Services, employment governed by the Texas Workforce Commission, housing under TDHCA jurisdiction, and consumer-facing AI under Texas DTPA enforcement.

Each sector inherits a common substantive baseline — risk classification, impact assessment, consumer notice, human oversight, post-deployment monitoring — and a sector-specific overlay reflecting the industry's regulatory expectations. Financial services adds model risk management aligned to federal expectations; healthcare adds clinical AI governance; employment adds bias evaluation comparable to NYC LL 144; housing adds fair-housing impact analysis. The Texas Office of the Attorney General issues sectoral guidance.

How Hael runs it

Hael maps each agent in the registry to its applicable Texas sector and applies the corresponding sector overlay. The common baseline runs from the platform's standard control set — risk classification, impact assessment, consumer notice, oversight, monitoring. Sector-specific overlays add the industry-specific evidence collectors and artefact generators.

For organisations operating across multiple sectors (e.g. a bank with consumer-facing AI in addition to financial services AI), each agent's sector binding determines the applicable overlays. Cross-sector agents inherit the union of obligations. Sector-specific artefacts are generated per agent and sealed in the audit chain. The Texas OAG can be granted scoped access for engagement.

SectorOverlayCoverageHow Hael runs it

BASE-1Common baseline — risk classificationFullStandard risk-tier engine

BASE-2Common baseline — impact assessmentFullFRIA-equivalent assessment generation

BASE-3Common baseline — consumer noticeFullNotice generation with deployment-context variants

BASE-4Common baseline — human oversightFullOversight assignment per agent

BASE-5Common baseline — post-deployment monitoringFullContinuous monitoring telemetry

FSFinancial services — model risk managementFullSR 11-7-aligned validation extended to GenAI

HCHealthcare — clinical AI governanceFullClinical evidence collectors and validation records

EMPEmployment — bias evaluationFullLL 144-aligned selection-rate and impact-ratio testing

HOUHousing — fair-housing impact analysisFullDemographic impact analysis with fair-housing methodology

CONConsumer-facing AI — DTPA complianceFullDeceptive practices controls and disclosure surfaces

Questions

How is RAIGA different from horizontal AI laws like Colorado SB 24-205?

RAIGA layers AI obligations onto existing sector regulators rather than creating a single horizontal AI law. Each sector retains its primary regulator and inherits AI-specific obligations as an overlay. The result is more granular sector tailoring at the cost of cross-sector consistency.

Can a single AI system trigger multiple sector overlays?

Yes. An AI system used by a bank to make consumer credit decisions triggers both the financial services overlay and the consumer-facing AI overlay. Cross-sector agents inherit the union of applicable obligations.

What is the Texas OAG's role?

The Office of the Attorney General issues guidance on cross-sector application of RAIGA, coordinates enforcement across sector regulators where conduct spans sectors, and exercises enforcement authority for consumer-facing AI under DTPA.

See Hael run your RAIGA obligations.

Sector mapping, common baseline controls, sector-specific overlays — wired against your Texas AI deployment.

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