Keep your leadership team close enough to the frontier to make better decisions about the work
Leaders do not need to know everything happening in AI.
They do need to recognize when something has changed enough to rethink a workflow, a role, a team, an investment, or an assumption about what people can accomplish.
That is the purpose of the Executive AI Cohort.
We keep your leadership team current on the AI developments that matter to your business and work through their implications together.
Not as a lecture. Not as a product briefing.
Your organization is the case study.
“Companies with the strongest AI-driven financial outcomes are twice as likely to redesign workflows rather than simply adding AI tools to existing ways of working.” (PwC)
The Leadership Problem Is Not Keeping Up With AI
Nobody can keep up with all of it.
New models, agents, products, features, research, and predictions arrive constantly. Most will not change your business. A few will.
Leadership needs a way to tell the difference.
We stay close to the frontier, filter what is happening, and bring your leaders the developments significant enough to deserve a business conversation.
Then we ask:
What does this change for us?.
Your Business Is the Curriculum
Every cohort is built around the decisions your leadership team is facing.
We might explore where AI is creating meaningful leverage across the organization, which workflows should be redesigned next, or where individual productivity gains are getting trapped. We might examine how greater AI capability changes what should be expected from a role or team, what work should remain human, or which investments deserve more or less attention.
The questions can vary, but they tend to resolve into a few themes:
- What has AI made possible that was not practical before?
- What should change because of it?
- Where does human judgment create the most value?
- What work should remain human even if AI could technically perform it?
- What should we start, stop, or redesign?
- What skills will our people need next?
- How should leaders guide teams through repeated changes in how work gets done?
These are leadership questions.
AI simply makes them more urgent.
What Your Leaders Develop
Over time, the cohort helps leaders build:
- A shared language for discussing AI and work redesign
- Better judgment about which AI developments matter
- A clearer view of where AI creates business value
- Stronger instincts about what should remain human
- Greater ability to challenge AI hype without ignoring meaningful change
- A repeatable way to reconsider workflows and roles
- More informed decisions about tools, investments, and priorities
- Greater alignment around how the organization should evolve
Rooted in Teaching, Proven in Practice
Sean Campbell, Cascade Insights®’ co-founder and CEO, has been passionate about education for as long as he’s been in technology. He’s taught at Purdue University, Willamette University’s MBA program, and currently at George Fox University’s College of Business, where he serves as the Director of AI integration for the MBA program and teaches courses on Human Value in the AI Era, an AI consulting course, and a graduate course in which each student builds a venture powered by one person and AI. He’s also helping shape the faculty mentoring and curriculum work that is building AI integration across the undergraduate and graduate business programs, driven by a belief that the next generation of business leaders needs to understand these tools before they hit the workforce, not after.
That teaching background is central to how we approach AI training at Cascade Insights®. It’s not a side credential. It’s core to the method.
At Cascade Insights®, the research and advisory firm Sean co-founded in 2006, the work has always sat at the intersection of business strategy, technology adoption, and training. From training technical teams early in his career, to helping shape the roadmap of leading technology solutions through research, to educating leaders at Fortune 500 companies on business strategy and tech adoption. Over the past several years, that focus has sharpened around AI, both at Cascade Insights® where teams use it to transform how research and advisory work gets done, and in the classroom where every semester brings new insights about how people learn to work with these tools, what trips them up, and what actually sticks.
The training material we deliver isn’t built from blog posts and vendor demos. It’s grounded in how the AI landscape is actually changing (informed by our ongoing research), how organizations are really adopting AI (informed by the hundreds of interviews we conduct every year), and what works when you’re sitting across from someone who needs to make this practical for their job. That combination of research, teaching, and hands-on advisory work is what makes our approach different.
Sean has also authored technology books published by Microsoft Press and Intel Press, delivered over 150 conference sessions and workshops, and appeared on more than 100 podcasts covering technology, business strategy, and market research.
What We Believe In: Fluid Intelligence®
AI’s potential is immense, but real results come from knowing how to work with AI fluidly, not
just knowing how to prompt it.
Our Fluid Intelligence® methodology helps teams direct AI with purpose, combining human judgment and AI acceleration to achieve lasting impact. We help your people guide AI tools toward the right problems, delegate the right tasks while maintaining oversight, know when human judgment should override an AI output, and design workflows where humans and AI collaborate seamlessly.
This isn’t about replacing expertise. It’s about amplifying it.
Master the Art of AI Collaboration
As AI gets more capable, the quality of the result depends less on knowing the right prompt and more on knowing how to direct the work.
The Art of Asking is our framework for doing that well. It helps people give AI the context, constraints, examples, and judgment it needs to produce useful work, while making clear where human oversight still matters.
We use it throughout our AI work because better direction leads to better output, better decisions, and better workflows. It is one of the core skills people need as more of the work shifts from doing everything themselves to directing increasingly capable systems..
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.
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