The Bottleneck Is Leadership Readiness.

I learned something in the 1990s that I have never had to unlearn. The tools always get better faster than the organizations around them. Our personalization engine at WiseWire was ready before most companies knew what to do with it. Today the gap is the same, only larger.

Costs fall fast and capability climbs. Waiting is the highest risk strategy. What holds most organizations back is the people in charge of them. That gap is where the opportunity lives.

The research points the same way

In its 2024 study Where’s the Value in AI?, Boston Consulting Group found that 74 percent of companies had yet to show tangible value from their use of AI. Only 4 percent had built cutting-edge capabilities across functions. The leaders put most of their effort into people and processes, not algorithms. Most companies are stuck at experimentation. The winners operationalize AI across functions.

SUPER: five moves, in order

Dr. Zdenka Cumano and I turned this into a sequence we use with leaders and their teams at AI Leader Edge. We call it SUPER. Each letter is a move, and the order matters.

Silence the Fear

Address the resistance first, in yourself and then in your team. Make it safe to say “I do not know how to use this.” Leaders go first.

Unleash the Experience

Map where hard-won judgment sits idle. Give it a machine that can carry it further.

Plug into Intelligence

Deploy by business outcome, not by technology. Leaders who start with the technology end up with pilots.

Engineer the Organization

Redesign workflows and decision rights. The approval chain built for slow information is now the bottleneck.

Reinforce at Scale

Build governance, feedback loops and metrics. Measure outcomes, not usage.

Only one of the five moves, Plug into Intelligence, is mainly about technology. The other four are about people, structure and discipline. That ratio is not an accident. It is the most important thing I have learned about AI in thirty years.

Start on Monday

1. Go firstName one thing you do not know about AI in front of your team. Start learning it in public.
2. Pick one outcomeChoose a business result, not a tool. “Cut proposal time in half” beats “we need an AI strategy.”
3. Redesign one workflowIf a task that took a week now takes an hour, retire the meeting that reviewed it every week.
4. Debrief on FridayMeasure what moved the outcome. Debrief what worked and what did not, the blameless way you would debrief a flight.