AI Enablement

Turn AI Gains Into Better Work

Your people are already saving time and improving output with AI. But individual productivity does not automatically become accelerated organizational performance, and the gap between the two is where AI investment can fail to drive a meaningful ROI.

“Only 16% of organizations have fully redesigned roles, processes, and operating models to integrate AI effectively.” (World Economic Forum, June 2026)

Cascade Insights® helps B2B leaders find the AI practices already creating value, understand why those gains have not spread, and redesign the surrounding work, so those gains can be achieved.

We begin with research. We interview the people doing and leading the work, examine the workflows they use, and identify where AI is improving results, creating new bottlenecks, or making old steps unnecessary.

Then we bring that evidence into room so we can show you what to scale in terms of your AI investments, what to minimize, what to redesign, and what must remain human.

How the Work Gets Redesigned

1. Find the wins

Identify where employees are already using AI to save time, improve quality, or increase capacity.

2. See the whole workflow

Determine where those gains are being limited by old processes, inconsistent practices, unnecessary handoffs, or unclear judgment.

3. Redesign the work

Choose the workflows with the strongest business value and define what AI does, what people do, and what disappears.

4. Build the capability

Train employees and leaders to operate the redesigned workflows and improve them as AI continues to change.

Why this is hard from the inside

Sorting a role’s work into what AI should absorb and what people should keep takes an afternoon.

Deciding what to kill, telling a manager their team’s output should change, and making it hold past the end of the week, the month, and the quarter is the hard part, and it is the part organizations struggle to do from the inside, because everything currently being done has a defender.

That is the work we lead, with research and a deep understanding of what’s possible with AI, and it is why only 16% of companies have done it.