Upon successful completion of this course, participants will be able to:

1. Articulate the fundamental concepts of AI, Machine Learning, and Generative AI from a business perspective;

2. Evaluate the strategic implications of AI for their industry and specific organization;

3. Identify and prioritize high-ROI AI use cases that align with core business objectives;

4. Formulate a comprehensive AI strategy and a practical roadmap for implementation and integration;

5. Develop a robust framework for ethical AI governance, addressing bias, privacy, and accountability; and

6. Lead the cultural and organizational changes necessary to foster a data-driven, AI-enabled enterprise.

Module 1: The AI Imperative: Beyond the Hype (Week 1)

• What is AI, Really? A Strategic Overview for Leaders.

• From Automation to Augmentation: The AI Spectrum (Machine Learning, Deep Learning, NLP).

• The Generative AI Revolution: Understanding Large Language Models (LLMs) and Their Business Impact.

• Debunking the Myths: Separating science fiction from business reality.
   

Module 2: Building the Foundation for AI Integration (Week 2)

• Data Strategy & Governance: Assessing and improving your organization's data maturity for AI readiness.

• The Modern AI Tech Stack: Core infrastructure, platforms, and tools for scalable integration.

• Talent & Capabilities: Architecting your team—building, buying, or borrowing AI expertise.

• Workshop: A practical scorecard to assess your organization's AI maturity.
   

Module 3: Crafting the Enterprise AI Strategy & Roadmap (Week 3)

• The AI Canvas Framework: A structured approach for aligning AI initiatives with core business goals.

• Identifying High-Value Use Cases: Moving from a long list of possibilities to a shortlist of priorities.

• Building the Business Case: Quantifying ROI, defining KPIs, and securing investment.

• Developing a Phased AI Roadmap: Charting a course from high-impact pilots to enterprise-wide transformation.
   

Module 4: AI in Action: Integrating with Core Business Processes (Week 4)

• Intelligent Operations: Integrating AI into Supply Chain, Manufacturing, and Process Automation.

• The AI-Powered Go-to-Market: Transforming Sales, Marketing, and Customer Service functions.

• Corporate Functions Reimagined: Embedding AI in Finance, HR, and Legal departments.

• Workshop: Mapping AI integration opportunities across your company's value chain.
   

Module 5: Leading the Integrated Enterprise: Governance, Culture & Risk (Week 5)

• Governance in the Age of AI: Establishing ethical guardrails, policies, and review boards for integrated systems.

• Managing Emergent Risks: Mitigating bias, ensuring security, and protecting intellectual property.

• Fostering an AI-Ready Culture: Leading the change management required for successful adoption.

• The Human-AI Partnership: Redefining roles, upskilling the workforce, and augmenting human expertise.
   

Module 6: The Frontier & Capstone Integration Workshop (Week 6)

• Emerging Trends: The strategic implications of Agentic AI, Multimodality, and the future of business.

• Capstone Workshop: The AI Integration Proposal. Participants will develop a detailed proposal for a specific AI integration project within one of their core processes. The proposal will cover the business case, implementation plan, KPIs, and a risk mitigation strategy.

• Final Session: Peer review, instructor feedback, and a discussion on overcoming common integration challenges.

Dr. Mario Domingo is the Director of the Ateneo Institute for Digital Enterprises (AIDE) at the Ateneo Graduate School of Business, where he shapes executive education and drives digital transformation in business leadership. A distinguished scholar-practitioner, he earned his Doctorate in Leadership Studies (Business Leadership) from Ateneo de Manila University and holds a Bachelor’s degree in Business Administration (Finance) and a Master’s degree in Finance and Applied Economics from the University of Southern California.

With over 30 years of global leadership experience, Dr. Domingo bridges academic rigor with industry innovation. He served as the Chief Commercial Officer of UBX Philippines, the country’s leading open finance platform. At UBX, he has also served as Global Chief Technology Officer, driving digital innovation and financial inclusion strategies. Previously, he served as Group Technology Officer at Chi-X Asia-Pacific (Chicago Board Options Exchange), where he advanced capital markets technology across the region.

Beyond corporate leadership, Dr. Domingo is a serial entrepreneur and the Founder of DARC Labs (Domingo AI Research Center), a pioneering research hub focused on AI-powered cancer diagnostics and universal healthcare solutions. He also serves as a member of the Philippine Navy Board of Advisers, contributing his expertise to defense modernization and national innovation strategies.

Dr. Domingo’s career reflects his commitment to integrating technology, leadership, and human impact—shaping innovation ecosystems in academia, industry, and public service to advance inclusive digital economies across Southeast Asia and beyond.