Great expectations
Most CEOs know foundational change is here. Four out of five of them believe AI will drive revenue by 2030. The capital is flowing, the mandates to adopt the technology are in place, and across most enterprises, multiple AI initiatives are already in motion. That ambition is right where it should be.
But ambition alone doesn’t produce returns. Research suggests roughly 95% of organizations are seeing little-to-no measurable impact from generative AI.
Not only because the technology fell short, but because structures aren’t in place to help it thrive in practice.
Boston Consulting Group
"Build for the Future 2025"
70% of AI roadblocks are caused by people, organization and processes. ”
What most AI strategies miss
Every C-suite leader is making the right call within their own mandate. But pursued independently, those priorities pull the enterprise in different directions. The result is drift, and the longer it goes unnamed, the harder it is to reverse.
The enterprises pulling ahead have turned alignment into a working discipline by clarifying ownership, standardizing how data and operations connect and embedding governance into workflows. This is what building a smarter business looks like: core systems reinforce one another.
Mind the (mis)alignment gap
The challenge is hard to understand from any single vantage point. Across the organization, each line of business is working to drive their own priorities, whether it’s protecting capital, driving growth, building data readiness or modernizing the stack. Risk and compliance collide with growth teams. Long-term goals clash with quick ROI. Tech and people ops don’t see eye-to-eye on making pilots real.
That’s a gap where friction and drift can take hold: through well-intentioned priorities that never quite converge. Over half of C-suite executives confess that AI adoption is pulling their company out of alignment.
Competing mandates, hidden costs
You’ve probably seen the symptoms: Rework. Teams rebuilding what exists elsewhere. Plateaus in deployment velocity. The massive task of integrating new tech into legacy stacks or bridging data silos. The kind of challenges that beg the question: is it better to go back to the drawing board?
They’re signs that the cost of uncoordinated execution is accumulating in the margins and diverting the energy from your best people.
Accenture
Making Reinvention Real with Gen AI, 2025
Organizations with CEO‑led, enterprise‑wide alignment are 2.5x more likely to achieve significant value from Generative AI. ”
What makes for a smarter business
Pace-setting enterprises have made alignment a working discipline. They’ve clarified ownership across functions, standardized how data and operations connect and embedded governance inside workflows.
This is what it means to build a smarter business: making core systems and processes intelligent enough to reinforce one another, so your enterprise is equipped to embrace and leverage new tools.
Clarify who decides what, how capital moves across disciplines and whether incentives reward outcomes or just delivery.
Two-thirds of CEOs are meeting short-term targets by reallocating from longer-term initiatives, a pattern that erodes the foundation. Dual-horizon measurement is how you break that cycle.
AI pilots lose momentum because there wasn’t a path to fund what came next. Structured reinvestment is how you move from proof of concept to performance.
The difference between high-return and low-return deployments often comes down to one question: did leadership align on what needs to change to win?
Culture doesn’t exist alongside the AI strategy. It’s the infrastructure the strategy runs on. The organizations scaling sustainably are redesigning how work moves.
After promising pilots, how do you design for lasting value? Strategy, risk and culture aren’t independent challenges–they’re levers in a single system.
Footnotes
¹ The GenAI Divide: State of AI in Business 2025, MIT NANDA, July 2025.
2 What Leaders Get Wrong About Strategic Alignment, Harvard Business Review, January 2026.
3 Modernizing applications on hybrid cloud, IBM Institute for Business Value, IBM, June 2023.