AI Primer

For Business Leaders

© 2025 Florante Pascual. All Rights Reserved.

PREFACE - The Big Picture Before the Details

Before we dive into the nitty-gritty of AI, let’s take a step back and see the big picture. AI is not just a tool or a trend. It’s a strategic capability that thrives within a well-structured IT ecosystem. For AI initiatives to succeed, they must align with a broader governance framework that supports scalability, security and business impact.

AI Does Not Operate in Isolation

The success of AI adoption depends on a well-governed IT ecosystem. This Primer introduces AI in the context of our framework (AI9GM™) to help business leaders align AI initiatives with enterprise strategy, security and operational resilience.

The AI-Centric IT Governance Model™ (AI9GM)
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A Note on Scale:

If you're a startup or small to medium-sized business (SME):

Think of this framework as a north star, not a checklist. You won’t need every component today, and that’s okay. Focus on what accelerates growth, reduces risk and avoids costly rework. This model helps you scale wisely when the time comes.

If you're a growing or established enterprise:

This framework offers a holistic view of AI-Centric IT Governance. It bridges infrastructure, intelligence, execution and strategy. It empowers you to modernize, align with business goals and lead with resilience.

Analogy: Think of this model like a city master plan.

A startup is a food truck: it doesn’t need zoning bylaws or a transit authority.

But once it becomes a food court, then a restaurant chain, then a downtown block, you wish you'd planned (among other things) the plumbing, security and staffing early.

Glossary of AI Terms – Must-Know Basics

A list of key AI terms tailored for business leaders exploring AI for their organizations.

AI Primer

Objective: Provide business leaders with a foundational understanding of AI, enabling them to align AI strategies with their business goals.

Module 1 – The Evolving AI Landscape - From Tools to Transformation

  • What is AI Today? (Demystifying AI: Machine Learning, NLP, Generative AI etc.)
  • AI Myths vs. Reality (Common misconceptions and practical truths)
  • How AI is Transforming Industries (Real-world business case studies)
  • Where AI is Headed (Beyond Chatbots to Autonomous Agents)
Outcome

Business leaders grasp what AI is, what it isn’t, and how businesses are leveraging it.

Module 2 – AI Opportunities & Risks in Business

  • Strategic AI Use Cases (Where AI creates value: Automation, Customer Engagement, Insights)
  • The Risks & Governance (Bias, privacy, regulations, responsible AI)
  • AI Readiness – Is Your Business Ready for AI? (Key questions to assess AI potential in their organization)
  • Strategic Adoption Principles (Strategic adoption and aligning with business goals)
  • ROI Justification Snapshot
Outcome

Leaders understand where AI fits in their business and the considerations they must address.

Module 3 – Integrating AI Into Business Strategy

  • AI as a Business Enabler (Aligning AI with company objectives)
  • Modernization Framework (Assess, Pilot, Scale)
  • Data & Infrastructure Readiness (Why data quality matters)
  • Making Better Decisions with AI (Augmenting, Not Replacing)
Outcome

Business leaders learn how to integrate AI into their strategy without unnecessary complexity.

Module 4 – Starting Strong – Practical Steps for AI Adoption

  • Quick-Wins vs. Long-Term AI Vision (What can be done today vs. future transformation)
  • Building an AI-Ready Workforce (Change management, upskilling teams)
  • Navigating the AI Tool Landscape (High-level overview of AI solutions without technical overload)
  • Case Study: Successful AI Adoption in SMEs & Enterprises
Outcome

Leaders leave with an actionable roadmap for taking the first steps toward AI adoption.

The AI-Centric IT Governance Model™ and AI Primer for Business Leaders™

© Copyright 2025 Florante Pascual

What's Next ?

AI Readiness Checklist

  • Where does your business stand?
  • Do a self-reflection and readiness assessment of your data and infrastructure for AI adoption

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