AI adoption starts with people. Before you can scale AI across your organization, your teams need to understand how to use it in a way that fits their workflows, responsibilities, and goals.
Our AI Training & Mentoring is designed to move beyond theory. We work directly with your teams to build practical skills, apply AI in real scenarios, and develop the confidence needed to use it consistently and effectively.
At Cascade Insights®, we bring nearly two decades of experience studying how B2B organizations adopt new technologies. That perspective shapes how we approach AI training, focusing not just on what tools can do, but how people actually use them in practice.
AI Training Built on a Foundation of Teaching
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 teaches GenAI for Business and GenAI Consulting. He’s also helping shape the faculty mentoring and curriculum work that is building AI integration across the undergraduate business program, 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 Our AI Training Looks Like in Practice
Hands-On, Workflow-Based Training
We don’t teach AI in the abstract. Training is grounded in your team’s actual work, so what they learn can be applied immediately.
- Learn using real workflows and use cases
- Apply AI directly to day-to-day responsibilities
- Move beyond prompts into practical usage
Role-Specific Skill Development
Different teams use AI differently. We tailor training to the roles, functions, and priorities within your organization.
- Marketing, research, product, operations, and more
- Training aligned to how each team works
- Focus on relevant tools and use cases
Guided Application and Mentoring
Adoption doesn’t happen after a single session. We work alongside your team as they begin using AI, helping them refine how they apply it and build better habits over time.
- Ongoing mentoring and support
- Real-time guidance as teams apply AI
- Reinforcement to drive consistent usage
Building Internal Capability
The goal is not dependence on external support. It’s equipping your team to move forward independently.
- Establish internal best practices
- Build confidence across teams
- Create a foundation for long-term adoption
How We Work
We deliver support in a range of formats, from a single virtual session to an extended engagement that unfolds over weeks or months. Most clients combine formats based on where their teams are and how fast they need to move.
1. Understand Your Teams
We start by learning how your teams operate and where AI can support their work.
2. Train in Context
We deliver hands-on training using your workflows, not generic examples.
3. Apply in Practice
Your teams begin using AI immediately, with guidance along the way.
4. Reinforce and Refine
We provide mentoring and feedback to strengthen adoption and improve outcomes
Who This Is For
- You want to build AI capability across your teams
- You’re early or mid-stage in AI adoption
- You need more than one-off training sessions
- You want your team to feel confident using AI in their daily work
What Makes Our AI Training Different
Practical, Not Theoretical
Training is grounded in real work, not abstract concepts.
Focused on Adoption, Not Exposure
The goal is consistent usage, not just awareness.
Mentoring Is Built In
We don’t stop at training. We support your team as they apply what they’ve learned.
What Effective AI Training Leads To
When your teams build real AI fluency:
- Work gets done faster and more efficiently
- Teams begin identifying new use cases on their own
- AI becomes part of how work gets done, not an experiment
Our AI Training Approach: 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
Most teams treat AI like a search engine, and get generic results. This guide previews some of the frameworks we teach in our mentoring sessions.
Download the practical guide to learn:
- How to Delegate to AI: Use the 5-element framework to manage AI like you would a capable colleague.
- Context Engineering: Master techniques to ensure AI speaks in your specific brand voice and understands your unique audience.
- Techniques to Create Champions: Learn how to build internal advocates who help AI adoption stick across teams.
Get the Guide