At BTS, we’re constantly challenging ourselves to innovate at speed. And right now, it feels like we’re standing at the edge of something massive. The energy? Electric. The velocity? Unprecedented. For many of us, the current pace feels a lot like the early days of the pandemic: disorienting, high-stakes, and somehow exhilarating. And honestly—it should feel that way.
Our teams have been tinkering with AI, specifically LLMs, for the past 2.5 years and it has really been in the last eight months that I can see the profound impact it is going to have for our clients, for our services and our operating model.
The opportunity isn’t about the technology. The world has it and it’s getting better by the minute. The issue is people and people’s readiness to adopt it and be re-tooled and re-skilled. It’s about leadership. AI is deeply personal, it’s surgical. In fact, that’s its genius. So, getting full scale adoption of AI, re-tooling everyone in the company by workflow, so that they can invent new services, unlock new customer value, unlock new levels of productivity, even use it for a better life, is the current race.
The central question I’ve been wrestling with, alongside our clients and our own teams, is this:
What does AI actually mean for leadership and culture?
And the answer is clearer by the day: AI isn’t just a new toolset. It’s a new mindset. It demands that we rethink how we lead, how we learn, and how we build thriving organizations that can compete, adapt, and grow.
The productivity paradox revisited
Let’s start with the elephant in the boardroom. There’s been a lot of buzz around AI and its promises. But many leaders have quietly wondered: Will any of this actually move the needle?
A year ago, we were asking the same thing. We had licenses. We had curiosity. We had early experiments. But the results were modest, a 1% productivity gain here or there. But by April, we were seeing:
- 30–80% productivity gains in software engineering
- 9–12% gains in consulting teams
- 5%-20% improvements in client success and operations
Just as importantly, the innovation unlock and creativity across our platforms due to vibe coding along with new simulation layers, is leading to new value streams for our clients.
This isn’t theoretical. It’s not hype. It’s real. The difference? Adoption, ownership, and a shift in how we lead in order to energize the AI innovation within our teams. The challenge now isn’t whether AI creates value. It’s how to unlock and scale that value across teams, geographies, and business units—and do it fast.
Two Superpowers of the Agentic AI Era
In working with leaders across industries, I’ve come to believe in two superpowers (there are more as well) that will unlock the potential of this AI era: Jazz Leadership and a Simulation Culture.
1. Jazz Leadership
Forget the orchestra (although personally I am a big fan.) The successful team cultures that are innovating with AI feel more like jazz.
In jazz, there’s no conductor. There’s no fixed sheet music. There are core bars and then musicians make up music on the spot based on each other’s creativity, building off of each other’s trials, riffs and mistakes, build something extraordinary together.
This is how experimenting with AI today, in the flow of work, feels like. For each activity across a workflow, how can new AI prompts, agents, and GPTs make it better, codify high performance, drive speed and quality simultaneously? How can we try something totally different and still get the job done? How might we re-invent how we work?
That’s how high-performing teams operate in the AI era. The world is moving too fast for command-and-control leadership, a perfect sheet of music with one leader who is interpreting the sheet music and directing. What we need instead is improvisation, trust, shared authorship, courage and a playful spirit because there are just as many fails as breakthroughs.
Jazz leadership is about creating the conditions where:
- Ideas can come from anywhere
- People see tinkering and testing as key to survival and AI failures mean your team is at the edge of what’s possible for your services and ways of working
- Leaders say, “I don’t have all the answers, but I’ll go first, with you”
- People feel “I’m behind relative to my peers in the company” and the company sees this as a good sign because the pace of learning with AI means higher chance of success in the new era
At BTS, we recently promoted five new partners who embody this mindset. They weren’t the most traditional leaders. But they were the most generative. They coached others. They experimented and are constantly re-tooling themselves and others. They inspired movement. They are keeping us ahead, keeping our clients ahead and driving our re-invention.
Jazz leaders make teams better, not by directing every note—but by setting the stage for breakthroughs. It is similar to the agile movement, similar to how it felt in Covid as companies had to reinvent themselves. It’s entrepreneurial, chaotic and fun.
2. Simulation Culture
The ability to simulate is a super-power in this next agentic, AI era.
Simulation has always been part of creating organizational agility, high performance and leadership excellence. But AI and high-performance computing have transformed it into something bigger, faster, and infinitely more powerful. It means that building a simulation culture is within all of our grasp, if we tap its power.
Today, companies simulate:
- Strategic alternatives – from market impact all they way to detailed frontline execution
- New business, new markets and operating models
- Major capital deployment e.g. build a digital twin of a factory before breaking ground
- Initiative implementation
- Workflows current and future
- Jobs to assess for talent and critical role readiness
- Customer conversations and sales enablement motions
With a simulation culture, where you regularly engage in scenario planning and expect preparation and practice as a way of working, billions in capital is saved, cross-functional teams are strengthened, high performance gets institutionalized, win rates increase, earnings and cash flow improves.
Where to get started
Below are a few examples of what leading organizations are doing. Consider testing these in your own organization:
- Conversational AI bot platforms used to scale performance expectations and the company’s unique culture.
- Agentic simulations built into tools so people can prepare and practice with 100% perfect context and not a wasted moment.
- Digital twins of the job created so that certifications and hiring decisions are valid.
- Micro-simulations spun up in hours to align 50,000 people to a shift in the market or a new operational practice.
Final Thoughts
- Lead like a jazz musician. Embrace improvisation, courage and shared creativity.
- Build a simulation culture. Because in a world that’s moving this fast, practice isn’t optional—it’s how we win.
This is a brave new world. Not five years from now. Right now.
Let’s shape it—together.
