North Highland CEO Alex Bombeck explains why the AI era demands businesses be built (not bolted) for tech-talent integration, and why most consulting firms are scrambling to catch up.
As artificial intelligence reshapes the business landscape at breakneck speed, a stark divide is emerging between companies that thrive and those that merely survive. While most organizations scramble to retrofit AI capabilities onto outdated structures, North Highland CEO Alex Bombeck argues that the real competitive advantage lies not in the technology itself, but in how seamlessly businesses integrate human talent with technological innovation.
In this candid interview, Alex reveals why the majority of organizations—and their consulting partners—are fundamentally unprepared for the AI era, and explains the critical difference between being "built for AI" versus simply "bolting on" the latest tools.
His insights challenge conventional wisdom about digital transformation and offer a roadmap for leaders ready to redesign their organizations from the ground up.
Q1: You've said that "no one else combines talent and technology to transform strategy into results like North Highland." That's a bold claim. What makes you so confident?
Alex: Because we've been built this way for over 20 years while everyone else is just figuring it out. The biggest AI gap isn't technology - it's leadership clarity and organizational readiness. You can't separate tech spend from the people who need to make it work, but that's exactly what most companies do.
Here's the uncomfortable truth: cutting-edge technology without human adoption becomes expensive chaos, while behavior change initiatives without technological backbone devolve into frustration. Most transformation efforts still treat these as separate challenges, but that's a fundamental misunderstanding of how modern transformation works.
In the AI era, this becomes even more critical. AI value compounds when culture is ready to absorb it. The question every leader should ask is: "Are you built for AI?" Because technology and talent are inextricably linked – it’s impossible to divorce the two. You either design your business for this integration, or you spend years retrofitting and playing catch-up.
Q2: You talk about companies being "built" versus "bolted" for AI success. What's the difference, and why does it matter?
Alex: The companies who are “catching-up” will bolt AI onto existing workflows and spend years retrofitting. The winners realize their organization must be deliberately designed to work with it to build compounding advantage, reenvisioning how the business operates so that AI enablement is woven throughout the fabric, not sewn onto the side of legacy models. The difference isn't ambition, it's whether you design for integration or treat it as an add-on.
The pace of change has been accelerating for over a decade, but new technologies have eliminated the protective moats businesses once relied on. Technology that was once available only to deep-pocketed organizations is now accessible to small and medium businesses—sometimes more effectively than larger competitors can deploy it.
Businesses need to move faster than ever. The barriers are lower, and small businesses can compete on the same field as larger ones. The business that understands and acts on the talent-technology connection will win. This is as much a competitive imperative as it is a technological one.
But here's what's really happening: leaders often fall into two camps - the “shiny object” camp feeling pressure to invest in what investors view positively, or “the cautious camp” - CEOs nearing the end of their terms who avoid creating workforce disruption. There's no scenario where this transformation happens without significant workforce discomfort, so it's easier to avoid it, even though ignoring it only makes the eventual change harder.
Q3: You mentioned that other firms are "just figuring this out." That sounds like you're taking a shot at your competition.
Alex: I'm not taking shots, I'm stating facts. We're watching our competitors scramble to reorganize, partner with AI companies, or acquire capabilities they don’t have because they suddenly realize they can't serve clients properly with their current structure.
Most big firms have P&Ls by country, office, function, or service, which creates competing behaviors and organizational silos. When they need the right expert for a client, but that person isn't in their P&L, guess what happens? The client doesn't get the best solution.
We adapted our model years ago to create one integrated P&L that allows us to deliver truly integrated solutions and bring the right experts together when needed. While they're rebuilding their business models now, we've been operating this way for decades.
We realized we had to build for purpose if we wanted to help clients with this challenge. We intentionally redesigned ourselves to serve the interdependencies between technology and people. We understand what it takes to execute these integrated plans because we've lived it, built for it, and proven it works.
Even further back, we were built on the principle that you couldn't attract and keep talent with traditional models. We reinvented consulting to retain the best staff - born into the idea that you have to build a business that enables people, not hire people into a business and expect them to adjust.
Q4: How is AI changing the consulting industry, and what does this mean for the future of work?
Alex: AI capabilities are advancing rapidly, and our investment in an AI-curious culture, through pilots, a Center of Excellence, and years of experimentation, has positioned us well ahead of the curve. Some of our best AI applications are emerging bottom-up, genuinely changing how we serve clients: reaching proof of concept in first meetings, delivering work faster, and improving internal processes.
What we've learned is that effective AI use requires two things: the curiosity to experiment and the expertise to recognize good output. Our junior talent brings the former; our senior talent brings the latter. This is pointing us toward a new apprenticeship model.
But here's what's interesting. Consulting firms are now partnering with AI businesses, acquiring them, or building products together because they're realizing they can't stay relevant otherwise. They're scrambling to figure out how to use AI to advance their own approaches while trying to invest in services that focus on the human side that AI cannot replicate.
AI isn't replacing lower-level employees, it's changing the nature of their work. Those who learn to succeed with AI will thrive. But you have to be built for this evolution, not trying to bolt it on after the fact.
Q5: Looking ahead, what separates the winners from the losers in this AI-driven era?
Alex: Speed and intentional design. It took a decade for the internet to be viewed as a wholly viable commercial utility. Some of the things we talk about AI doing may take a decade because of businesses' ability to move as quickly as the technology can. But some businesses learned from previous shifts and won't take a decade, they will move much faster. AI is going to keep moving fast, its trajectory isn’t fully known, and investing heavily in changes that will keep evolving as AI does is cause for hesitation. But the cost of waiting can’t be underestimated.
There will be a widening competitive gap between organizations that can embrace the human-technology intersection and those who only talk about it. Companies need to be built for AI: from your operating model to your culture, to the way your people and technology are developed together, how you build for AI matters as much as what you build with it.
This isn't just about having an "always-on transformation mindset" anymore. It's about building organizations where technology and people who adapt and adopt new ways of working are integrated into your core operating model, not treated as separate initiatives that you hope will magically come together.
The future belongs to integrated thinkers. Organizations and consulting firms that understand the inextricable link between technology and talent will create compounding advantages. We talk about connecting technology and talent because a well-designed intersection of the two is where possibility turns into performance. Those that continue to treat them as separate functions (or worse, try to bolt them together after the fact) will fall further behind.
The uncomfortable truth? Most companies aren't built for this. But the ones that make sure they are will dominate their markets.
For more insights on building AI-ready organizations take a read here or if you’d like to take part in our C-suite leader “Talking Transformation” interview series with Alex contact us here.
