AI in Corporate Governance

Theme: Understanding Governance Gaps and the Role of AI

• Overview of Corporate Governance: Principles, Pillars & Stakeholders

• AI in Governance: Use Cases, Risks & Strategic Alignment

• Ethical AI and Regulatory Frameworks (e.g., GDPR, SEBI, OECD, MCA)

• Analyze a company’s governance data (Board composition, ESG metrics, compliance reports) using Python & Pandas

• Build a simple dashboard to track key governance KPIs using Streamlit or Excel + Python

• Use NLP to extract board-related insights from annual reports or policies

🎯 Outcome: Learn to interpret governance data and visualize it for internal decision-makers.

Theme: Automating Governance Risk and Compliance (GRC)

• AI for Risk Assessment, Fraud Detection, and Compliance Monitoring

• Integrating AI with corporate GRC tools and audit trails

• Building AI systems that are transparent, explainable, and auditable

• Create a rule-based red-flag system for compliance breaches (e.g., late disclosures, missing filings)

• Use ML to score risk levels of vendors or board decisions

• Train a simple fraud detection model on governance-related data

• Run AI audit simulations with explainability outputs (using SHAP or LIME)

🎯 Outcome: Automate governance surveillance workflows with explainable AI models.

Theme: Intelligent Decision Support in Corporate Leadership

• AI for Board Decision Support & Predictive Analytics

• AI in ESG (Environmental, Social, Governance) compliance and monitoring

• Future of AI-driven Governance: Autonomous Boards and Smart Contracts

• Use OpenAI or Hugging Face models to summarize board agendas and resolutions

• Design a board assistant chatbot using prompt engineering (e.g., for board queries, ESG updates)

• Automate ESG reporting pipelines (from data collection to summary generation)

🎯 Outcome: Prototype intelligent decision-support tools that enhance accountability and governance performance.