The Book: The Art of Asking
AI can do the work. It can’t decide what the work is.
The people getting real results from AI aren’t better at prompting. They know what to ask, how much autonomy to grant, and how to verify what comes back. That’s a learnable skill, and this book teaches it.
The Problem: Most people are using 30% of what AI can do, then judging the whole category by the result.
They open a chat window, type a request, get something mediocre back, and conclude the tools are overhyped. Meanwhile a smaller group is handing entire workflows to AI and getting back work they’d trust from a good analyst.
The difference between those two groups isn’t technical. It’s a set of decisions the second group has learned to make:
- Which parts of my work should AI touch at all?
- How much of a task do I hand over, and how much do I keep?
- When AI comes back with an answer, how do I know whether to trust it?
Nobody teaches this. Prompt guides don’t cover it. Tool tutorials skip it. That’s the gap this book fills.
What’s Inside: A complete system for deciding what to delegate, how far to trust, and where you stay in the loop.
The RISE Framework Every piece of knowledge work lives at one of four levels: Routine, Interpretation, Strategy, or Engagement. RISE tells you what kind of work you’re looking at, which is the first question to answer before you hand anything to AI. Routine work is AI’s home turf. Engagement work is yours. The interesting decisions live in between.
Carry, Share, Delegate RISE tells you what the work is. Carry/Share/Delegate tells you where you sit in it. Some work you carry yourself. Some you share with AI as a thinking partner. Some you delegate outright. The mismatches are where careers get made or lost: Engagement work quietly delegated to a bot, Routine work carried by hand out of habit.
The Five Modes Conversation, Alongside, Connected, Workflow, Autonomous. A map of how AI tools actually mature, so you can see where you are, where the tools are headed, and which mode fits each job. Most teams are stuck in Conversation mode. The book is a march rightward.
The Three Delegation Skills Give AI goals instead of steps. Set boundaries instead of instructions. Verify decisions instead of output. These three skills are what make delegation safe, whether you’re handing off a summary or an autonomous agent.
AI Before the Work Begins The highest-value use of AI most people never try: stress-testing the brief, gut-checking the ask, and sharpening the question before anyone (human or machine) starts executing.
Who Benefits: From Reading the Book
Leaders deciding what their teams should hand to AI, and what would be malpractice to hand over
Knowledge workers who want AI to make them more valuable, not more replaceable
Consultants, researchers, and analysts whose value was never in the gathering, and who need to prove it now
Anyone who has typed a prompt, gotten mediocre output, and wondered what everyone else knows
About: The Author
Sean Campbell has spent his career at the intersection of technology and the humans who have to use it. He is Director of AI Integration for the MBA program at George Fox University’s College of Business, where he teaches courses on human value in the AI era and a graduate course in which every student builds a venture powered by one person and AI.
As co-founder and CEO of Cascade Insights®, he led two decades of B2B research for companies including Microsoft, Google, and AWS, examining how buyers actually evaluate and adopt new technology. He has co-authored books for Intel Press and Microsoft Press, and today advises and trains organizations on what he calls Amplified Intelligence: the human capabilities that grow more valuable as AI takes on routine work.

Master the Art of AI Collaboration
This over 100+ page guide previews just a few of the frameworks and approaches we leverage in our AI Advisory work.
Here are just a few things you can learn from the Art of Asking:
- How to Effectively Delegate to AI: Use the 5-element framework to manage AI like you would a capable colleague.
- Workflows and Agentic Use Cases: Learn how to meaningfully manage AI driven workflows and Agents.
- Techniques to Create AI Champions: Learn how to build internal champions who help AI adoption stick across teams.
Get the Guide