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)
AI-Centric IT Governance Model (AI-9GM)
AI-Centric IT Governance Model (AI-9GM)
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 — empowering 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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