AI Governance Dashboard for SG

SG-specific obligations covered

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

• Personal Data Protection Act 2012 (PDPA, as amended 2020)legislation · In force

  Organisations must obtain consent for personal data collection, implement data protection policies commensurate with data sensitivity, notify the PDPC and affected individuals of significant data breaches, and appoint a Data Protection Officer.

• Model AI Governance Framework for Generative AI (IMDA/PDPC, 2024)voluntary_framework · Voluntary

  Organisations should establish internal AI governance structures, conduct regular risk assessments of AI systems for safety and fairness, implement human oversight mechanisms proportionate to decision consequence, and communicate AI use transparently to affected stakeholders.

• MAS Principles on Fairness, Ethics, Accountability and Transparency (FEAT)regulatory_principles · In force

  Financial institutions must ensure AI and data analytics deployed in financial services are fair, ethical, accountable, and transparent, and should conduct FEAT self-assessments using the Veritas Fairness Assessment Methodology.

• MAS Advisory on Use of Generative AI in Financial Services (2024)regulatory_guidance · In force

  Financial institutions deploying generative AI must implement robust governance frameworks, maintain human oversight for material financial decisions, ensure data quality and provenance, conduct ongoing model performance monitoring, and manage third-party AI vendor risks.

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 = SG), and download your tailored document immediately.

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