AI Governance Dashboard for US

US-specific obligations covered

The output is anchored on the regulations that apply to AI deployments in US. The top frameworks cited:

• Colorado AI Act — SB 24-205 (2024), repealed and reenacted by SB 26-189 'Automated Decision-Making Technology' (2026)state_legislation · Enacted - not yet in force

  Developers of covered ADMT must give deployers technical documentation (intended uses, categories of training data, known limitations, usage instructions); deployers must notify individuals before ADMT use in a consequential decision and disclose an adverse outcome within 30 days; consumers may request data correction and meaningful human review. Core obligations begin 1 January 2027.

• Texas Responsible AI Governance Act (HB 149)state_legislation · In force

  AI developers and deployers must avoid prohibited uses, provide clear disclosures when consumers interact with AI in consequential contexts, conduct algorithmic-discrimination assessments for in-scope systems, and report adverse incidents to the Texas Attorney General. Compliance with NIST AI RMF and recognised standards is treated as a rebuttable presumption of reasonable care.

• California Consumer Privacy Act / California Privacy Rights Act (CCPA/CPRA)state_legislation · In force

  Businesses must disclose automated decision-making logic upon consumer request, allow opt-out of profiling for targeted advertising or significant decisions, and conduct and document risk assessments for high-risk data processing activities.

• California Bot Disclosure Law (SB 1001 — Cal. Bus. & Prof. Code §§17940-17943)state_legislation · In force

  Operators of bots that interact with California consumers in commercial or electoral contexts must clearly and conspicuously disclose that the consumer is communicating with a bot, with the disclosure designed to inform a reasonable person communicating with the bot. Disclosure must not be hidden behind interaction or buried in a privacy notice.

How the AI Governance Dashboard approaches this

You describe your organisation — jurisdiction, industry, staff size, risk appetite, AI tools currently in use — and answer an 8-question self-assessment covering Structure (governance body + RACI), Foundations (AI tool register + AI usage policy), Operational (KPI tracking + training programme), and Assurance (board reporting + policy/audit schedule). The tool produces a complete, structured governance programme tailored to that context, sized to your maturity stage, and ready for board / leadership review.

The Executive Summary Word document is a one-page sign-off artefact for board / exec review with three visual charts. The PowerPoint board pack is a 7-slide deck designed to drop straight into your next leadership meeting deck without modification. The Excel workbook is the working operational instrument that lives with the AI Governance Champion: assign owners on the RACI sheet, track 90-day roadmap actions, set Current Baseline values on the 12 KPIs, populate the quarterly Board Report template, and watch the live Dashboard radar + doughnut refresh as you make progress. All three artefacts are AI-assisted drafting aids intended to accelerate review by qualified governance, compliance, and sector-regulatory practitioners — not replace them.

What you get

• ✓ Three artefacts, three jobs: Executive Summary (.docx) for sign-off, Board Pack (.pptx) for the next leadership meeting, Operational Workbook (.xlsx) for the AI Governance Champion — same governance programme, same source of truth, no fragmentation across tools.
• ✓ Live-formula Dashboard with native Excel radar (governance maturity by domain) + doughnut (overall completion %) — toggling a Status cell anywhere in the Roadmap or KPI Dashboard recomputes both charts without regeneration. The user-edited Intake Answers sheet drives the radar, so the dashboard reflects the customer's self-assessment as it evolves over the programme.
• ✓ Right-sized to your maturity stage: the recommended structure for a 11–50 staff organisation is a single AI Governance Champion, not a full board committee. For 1,000+ staff, the workbook recommends a multi-tier governance structure with board sub-committee, cross-functional working group, and embedded champions — sized to what your organisation can realistically sustain.
• ✓ Anchored to recognised governance standards across all 10 sheets: NIST AI RMF GOVERN-1.x and MEASURE-1.x function tiers, ISO/IEC 42001:2023 Clauses 5–9 (leadership / planning / support / operation / performance evaluation), with sector-specific regulator overlays (FCA Consumer Duty, ICO accountability principle, EU AI Act Art. 4 AI literacy, FDA Good Machine Learning Practice, NYDFS Cybersecurity Regulation 23 NYCRR 500.16, and others as applicable to your jurisdiction × industry).

Ready to generate?

$59 · one-time — answer a 6-question intake (including jurisdiction = US), and download your tailored document immediately.

Also available framed for your sector → see industry-specific pages