AI Compliance & Governance Explained: 7 Building Blocks + 13-Point Checklist (DPDP, EU AI Act)

Could your organisation explain what data trained its AI, who approved it, and why it made a specific decision, with evidence? If you hesitated, this video is for you. AI is moving from pilot projects to everyday business decisions: screening loan applications, answering customers, summarising contracts and supporting hiring. Regulators, clients and boards now expect proof that these systems are lawful, fair, secure and under control. In this 15-minute briefing, we walk through a practical, consulting-style blueprint for AI compliance and governance that you can apply to any AI system. WHAT YOU'LL LEARN ✔ The 7 legal domains every enterprise AI programme must map: privacy, AI regulation, cybersecurity, sector rules, IP, fairness and contracts ✔ How India's DPDP Act 2023 and DPDP Rules 2025, the EU AI Act and the CERT-In Directions affect AI projects ✔ How compliance is engineered into an AI solution, from data ingestion to audit logs, in 7 control points ✔ Who owns what: board, AI governance office, legal, model risk, engineering, business owner and internal audit ✔ Which certifications actually help (ISO/IEC 42001, 27001, 27701, SOC 2, PCI DSS, NIST AI RMF), and why no certificate equals legal compliance ✔ 10 non-compliance risks, from shadow AI to model drift, and how the consequences compound ✔ A 13-point AI compliance gate to apply before any AI system goes live WHO THIS IS FOR Business leaders, risk and compliance teams, legal and privacy professionals, CISOs, data and AI teams, consultants, and anyone responsible for deploying AI responsibly. CHAPTERS 0:00 Introduction: the three questions every AI owner must answer 1:47 Regulatory & legal domains 6:12 Implementing controls in an AI solution 7:52 Governance model: roles & responsibilities 9:02 Certifications & assurance 10:17 Non-compliance risks 11:20 Consequences & penalties 12:36 The 13-point AI compliance gate 13:55 Key takeaways KEY TAKEAWAY Build compliance into the AI lifecycle; don't bolt it on after deployment. Compliant AI is safer, stronger and more trusted AI. FRAMEWORKS & LAWS REFERENCED India Digital Personal Data Protection Act, 2023 & DPDP Rules, 2025 CERT-In Directions (April 2022) under the Information Technology Act, 2000 EU Artificial Intelligence Act, Regulation (EU) 2024/1689 ISO/IEC 42001, ISO/IEC 27001, ISO/IEC 27701 NIST AI Risk Management Framework (AI RMF 1.0) AICPA SOC 2, PCI DSS If this helped, like the video, share it with your risk, legal and technology colleagues, and subscribe for more practical guides on responsible AI. Which of the 13 checks does your organisation find hardest? Tell us in the comments. DISCLAIMER This video is for general educational purposes only and does not constitute legal advice. Laws, rules and implementation timelines change; confirm current requirements with qualified legal counsel. Narration uses an AI-generated voice. Music is original. #AIGovernance #AICompliance #ResponsibleAI #EUAIAct #DPDPAct #ISO42001 #RiskManagement