AI Clarity, LLMs vs. Agentic AI vs. AI Agents

A straightforward guide for business leaders who want to stop funding AI based on buzzwords, and start funding it based on outcomes, risk, and accountability.

The Problem This Book Solves

Most AI conversations fail for one reason, the business is being asked to approve technology they cannot challenge in business terms.

So the company buys “AI” as a category, not as a measurable capability.

This book gives you language you can actually use in a budget conversation, and the questions that force clarity from IT leadership and vendors.

What You’ll Learn

You will walk away with practical clarity on three terms that keep getting blended together:

LLMs, the reactive language engines, powerful, but not proactive
Agentic AI, goal-driven workflows that can execute multi-step work, without checking in at every step
AI Agents, bots that actually do things across systems, with real operational and risk implications

You will also get the exact executive questions that separate hype from defensible execution, including how data scope is controlled, how accuracy is validated, who is accountable, what guardrails exist, and what happens when something goes wrong

Who This Is For

This book is written for business leaders who:

Keep hearing “we need AI”, but never get a business case that survives scrutiny
Want to understand what they are approving, before capital gets locked in
Need to pressure-test the AI roadmap, without becoming a technologist
Want AI to augment execution, not create new risk that nobody owns

What’s Inside

This is a short, direct guide built around clarity and executive control.

Chapters include:

About Me
Introduction, why this guide exists
LLMs, what they are, what to watch, what they are good for
Executive questions to ask IT about LLMs
Agentic AI, what it is, what can go wrong, where it fits
Executive questions to ask IT about Agentic AI
AI Agents, automation that actually touches systems
Executive questions to ask IT about AI Agents
The Reality Check
Why This Matters
Final Word, use with eyes open
Let Me Help You, including an AI Readiness Audit resource

The Reality Check Most People Avoid

AI is not magic.

It is software, with the same failure modes you already know, bad inputs, weak controls, unclear ownership, and expensive programs built on vague promises.

If an AI system makes a bad call, you own it. This book is designed to keep that from happening by forcing clarity before deployment, not after damage

About the Author

I’m Jayson Hahn, founder of JH Strategic IT.

I led technology for decades across public and private organizations, including as a Global CIO and CTO. I built business-first strategies that drove major revenue impact and eliminated unnecessary IT spend by aligning technology to how the business actually operates.

If your team is pushing “AI” and you cannot explain, in business terms, what changes, what risks increase, and who owns accuracy, this book is the reset.

Get AI Clarity now.

IT Spend Visibility and ROI Clarity for Business Leaders Under Board Pressure Independent IT governance and ROI verification authority for boards, CFOs, and executive leadership teams.