AI Compliance Gap Analyser 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 Compliance Gap Analyser approaches this

You describe your organisation, choose your framework (EU AI Act / NIST AI RMF / ISO 42001 / all three), and answer a brief 10-question self-assessment per framework. The tool maps your stated posture against each framework requirement to produce a structured, evidence-based gap analysis ready for your compliance, legal, and governance practitioners.

The Executive Summary Word document is a one-page sign-off artifact — overall scorecard, top 5 priority actions, cross-framework synthesis (when comparing all three), sign-off block. The detailed Excel workbook is the working remediation instrument: per-framework gap sheets with current state, target state, gap severity, priority action, framework citations, owner, effort, and a Status dropdown that drives the live Dashboard. Both are AI-assisted drafting aids intended to accelerate review and remediation by qualified practitioners.

What you get

• ✓ Two artefacts, two jobs: Executive Summary (.docx) for board sign-off, Detailed Workbook (.xlsx) for the working remediation tracking — no overlap, no confusion.
• ✓ Customer self-assessment driven: gap ratings come from your stated posture, not from inferred maturity. The workbook pre-fills your answer alongside each requirement so reviewers see the basis for every gap rating.
• ✓ Live dashboard with formulas + native radar + doughnut charts that auto-refresh as you mark gap rows Done — no regeneration needed to see remediation progress.
• ✓ Tailored to your jurisdiction, industry, organisation size, and risk appetite — every gap rating accounts for your context, not a generic checklist. Designed for review and sign-off by qualified compliance, legal, or governance practitioners.

Ready to generate?

$39 · 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