When Bret Boyd and I wrote Catalyst, we set out to map the forces reshaping organizations and industries — the technological and socioeconomic disruptions that, if understood early enough, give leaders a genuine advantage. We called them catalysts because that's what they are: irreversible accelerants of change. And we argued that the leaders who thrive aren't the ones who predict the future perfectly — they're the ones who build the teams and frameworks to adapt faster than the environment shifts around them.
That thesis has never been more relevant than it is right now.
The Catalyst We've Been Preparing For
If you've followed Grayline's work over the past decade, you've watched us operate across cities, defense, energy, cybersecurity, and mobility. We've helped transit agencies deploy autonomous vehicles, advised defense technology companies from seed stage through scale, and built cybersecurity programs for critical infrastructure. The throughline across all of it has been the same: helping leaders manage disruptive change with discipline and clarity.
Artificial intelligence is the catalyst event of our generation. Not because the technology is new — machine learning has been part of our work for years — but because we've crossed a threshold where AI is reshaping the assumptions that underpin how organizations operate, compete, and serve their missions. The operating environment that leaders planned around eighteen months ago no longer exists. The one they'll face eighteen months from now is barely taking shape.
This is exactly the kind of inflection point the Catalyst framework was built for.
What "Applied Intelligence" Means
We've rebuilt graylinegroup.com from the ground up — not as a cosmetic refresh, but as a reflection of where Grayline is headed and, frankly, where we already are. You'll notice something different the moment you arrive: AI Strategy and Implementation is now our lead service line. The tagline is "Applied Intelligence." And the Catalyst framework sits at the center of everything we do.
Here's what I mean by applied intelligence, and why those two words matter to me.
There's no shortage of AI hype. Every consultancy has an AI practice now. Every vendor is "AI-powered." I've sat in enough boardrooms and conference halls over the past two years to know that most leaders are caught between two unhelpful poles: the breathless enthusiasm of people selling them AI tools, and the paralysis of not knowing where to start.
Applied intelligence is our answer to that gap. It means we don't start with the technology. We start with the leader, the mission, and the decision that needs to be made — and then we bring the right combination of AI capability, analytical tradecraft, and operational discipline to bear on the problem. That's the Grayline way. It's always been the Grayline way. AI just makes it more urgent and more powerful.
The Catalyst Framework in the Age of AI
In Catalyst, we laid out a structured approach to diagnosing organizational complexity, mapping technology opportunity, and sequencing investments that generate compounding returns. That methodology has been tested across transit systems, defense procurement, energy markets, and municipal government. It works because it's built around how real decision-makers operate — under budget constraints, political realities, and workforce limitations that generic consulting playbooks tend to ignore.
AI doesn't change that methodology. It supercharges it.
The organizations that will capture durable value from AI aren't the ones rushing to deploy the latest model. They're the ones doing the harder, less glamorous work: assessing where AI fits their actual workflows, building governance structures before they need them, investing in their people's ability to work alongside intelligent systems, and measuring outcomes with the same rigor they'd apply to any other strategic investment.
That's the work we do. It's strategy grounded in execution, and it's what separates applied intelligence from applied hype.
Why This Matters Beyond Business
I'll be honest — my interest in getting this right goes beyond Grayline's client work. In my role with The Texas Lyceum and through USTomorrow, I spend a lot of time thinking about how AI will reshape civic life, public institutions, and the workforce. The decisions being made right now by city managers, transit authorities, school boards, and defense planners will determine whether AI becomes a tool that strengthens communities or one that leaves people behind.
That's a leadership problem, not a technology problem. And it's one I believe deeply that the right teams, with the right frameworks, can solve.
An Invitation
If you haven't visited graylinegroup.com recently, I'd encourage you to take a look. You'll find a clearer articulation of what we do, how we think, and why the Catalyst framework matters more now than when we first wrote the book.
And if you're a leader wrestling with where AI fits in your organization — whether you're running a transit agency, a defense program, an energy company, or a city — I'd welcome the conversation. The best engagements we've ever had started with someone reaching out and saying, "I know this matters, but I don't know where to start."
That's exactly where the work begins.