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 operates at the intersection of applied AI research, venture-building, executive accountability at national-platform scale, and academic formation in leadership and ethics. He currently serves as Regional Chief Technology Officer of CeQureX. Alongside this role, he holds a portfolio of advisory mandates positioned for the AI-driven transformation now reshaping enterprise, finance, and the public sector: fractional Chief Transformation and Technology Adviser to a major Philippine higher education system, a telecommunications subsidiary, and to a Philippine bank; technology adviser to the Philippine defense establishment on sovereign network architecture; and adviser on AI to senior leadership across multiple organizations. 

His prior executive lineage includes service as Chief Technology Officer and CEO Officer-in-Charge of UBX through November 2025, an early Philippine institutional venture in blockchain and digital finance. Earlier in his career, he architected high-performance computing systems in production at the Cboe/Chi-X global exchanges: market infrastructure where correctness, latency, and trust at machine speed are non-negotiable. 

He founded the Domingo AI Research Center (DARC Labs) in 2016, with work in medical imaging and cancer diagnostics, and co-founded DANATEQ Pte Ltd. in Singapore in 2010, focused on probabilistic AI for telecommunications infrastructure. 

He holds a PhD in Leadership from Ateneo de Manila University (Critical Realism; Virtue Ethics, Deontology, Utilitarianism) and undertook post-graduate study in AI at MIT CSAIL.