Find Where AI Should Change the Work First.
Most organizations already have AI activity. Employees are experimenting. Teams are buying tools. Leaders are collecting use cases. Individual productivity gains are appearing across the business.
The problem is determining which of those gains should actually change how the organization operates.
The AI Work Redesign Sprint is a focused engagement designed to answer that question. We assess how your people are working with AI today, and identify the opportunities with the strongest business value.
Then we get inside the work, identify where AI is creating meaningful leverage, and help your team redesign the workflows with the strongest potentia
What you leave with
Evidence, decisions, redesigned workflows, and a practical path forward — not a generic AI roadmap.
From Research to Redesign
01
Assessment Before Redesign
AI strategy often starts with what the technology can do. We start with what your people are doing — interviewing employees and leaders to see how the work gets done today, which gains are producing meaningful value, and where those gains are getting absorbed by old processes.
That gives leadership a view of AI grounded in its own organization, not somebody else’s list of use cases.
02
Redesign What Matters First
Not every workflow deserves the same attention. We help your team identify the opportunities with the strongest combination of business impact, feasibility, employee readiness, and responsible AI use — then work through what should change.
The result is a redesigned way of working that your team can test in practice.
What You Leave With
Depending on the engagement, your sprint can include:
A research-backed view of how AI is being used across the team
A map of the highest-value opportunities for AI-enabled work redesign
Identification of internal practices and champions worth scaling
Prioritized workflows for redesign
Redesigned workflows defining the role of AI and people
Human judgment and oversight requirements
Measures for determining whether the change is working
A practical pilot plan for the next 60 days
Recommendations for where AI Work Labs or leadership support would create the most value
AI makes it easy to start doing things. It does not make it easy to decide what is worth doing.
A sprint creates enough evidence to make those decisions without committing the organization to a long transformation program before you know where the value is. It also creates a baseline — when AI capabilities change, you have a clear understanding of today’s work against which those new possibilities can be evaluated.
What Makes Us Different
Assessment-Led Work Redesign
Our work is backed by several years of research into how real-world organizations adopt AI in meaningful ways — not just the technology, but how organizations actually adopt it, resist it, and scale its use.
What this means for you: a plan grounded in evidence, not guesswork or hype.
Built for Business
We focus exclusively on organizations, where buying cycles are complex, workflows are cross-functional, and the stakes are high — including the particular care agentic AI requires across sales, finance, and operations.
What this means for you: a plan tailored to business realities, not repurposed from consumer playbooks.
Integrated with Training & Change Management
We connect your AI vision to practical enablement: team training, change management, and ongoing market insight — one firm from research to training to transformation.
What this means for you: a unified approach, so initiatives reinforce each other instead of fragmenting.
Guided by Fluid Intelligence®
Our proprietary model keeps human judgment at the center of agentic AI deployments — not as an afterthought, but as a design principle.
What this means for you: your people stay in control. AI becomes a capability you direct.
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.
- How to effectively delegate to AI — use the 5-element framework to manage AI like a capable colleague.
- Workflows and agentic use cases — learn to meaningfully manage AI-driven workflows and agents.
- Techniques to create AI champions — build internal champions who help AI adoption stick across teams.
Sean Campbell
Co-founder & CEO, Cascade Insights®
Research. Teaching. Real World Experience.
Sean has spent his career at the intersection of technology, business, and education. He has taught at Purdue University and Willamette University’s MBA program, and currently teaches at George Fox University’s College of Business, where he serves as Director of AI Integration for the MBA program.
Our team uses AI in its own research and advisory work while conducting hundreds of interviews each year with professionals navigating changes in technology, markets, and work — giving us three views of the same problem: how AI is changing, how organizations are responding, and how people actually learn to use it well.
Sean has also written technology books for Microsoft Press and Intel Press and delivered more than 150 conference sessions and workshops.