Ask a CEO what drives growth, and you’ll often hear the usual answers: product innovation, sales execution, marketing, acquisitions, or AI.
Rarely does anyone start with customer operations. They should.
Over the past 30 years, I’ve had the opportunity to lead global customer operations organizations and work with companies across a wide range of industries – from emerging businesses to some of the world’s largest enterprises. One pattern has consistently stood out: customer operations remains one of the most underutilized sources of business intelligence across most enterprises. The companies that consistently outperform their peers recognize this, and leverage customer operations as a strategic capability to make better decisions across the business.
They do not view support simply as a cost center or service function. They use it as a strategic capability that informs better decisions across the business.
For years, customer operations has been measured primarily through efficiency: average handle time, cost per contact, tickets closed, and service levels. Those metrics still matter. But they no longer define the organizations that create lasting competitive advantage.
Every day, customer operations teams capture an enormous volume of insight into customer behavior, product friction, adoption challenges, competitive threats, and emerging market needs. Yet in many organizations, that intelligence remains buried in millions of interactions or reduced to dashboards that require leaders to interpret the story themselves.
Executives are not looking for more data. They are looking for trusted, actionable insights that identify what matters most, why it matters, and where to focus next.
That is where customer operations becomes strategic.
The most forward-thinking CEOs are asking a different question: How can we turn every customer interaction into better business decisions?
Customer operations should drive far more than service quality and efficiency. When structured correctly, it can shape product roadmaps, improve customer adoption, identify sales opportunities, prioritize engineering investments, and continuously strengthen the AI models that increasingly power the business.
Artificial intelligence is accelerating this shift and making it possible at a scale that was not achievable before. While many organizations still view AI primarily as a way to reduce support costs, companies seeing the greatest returns are using it to transform millions of customer interactions into meaningful insight: uncovering emerging trends, predicting customer needs, and equipping leaders with better information to make faster, smarter decisions.
Over the next three to five years, the organizations that outperform will not simply be those with the fastest response times, quickest resolutions, or highest customer satisfaction scores – important as those metrics remain. They will be the companies that learn faster than their competitors by systematically capturing, analyzing, and acting on customer intelligence at scale.
I have seen firsthand how organizations begin to operate differently when they make this shift. Product teams build features customers actually need because they are guided by real-world customer experiences. Sales and Customer Success teams identify expansion opportunities earlier and strengthen long-term relationships. Executive teams make better investment decisions because they are informed by trusted customer intelligence rather than assumptions or disconnected metrics.
As AI becomes increasingly accessible, technology itself will become less of a differentiator. The organizations that outperform will be those that learn, adapt, and execute faster than their competitors, and customer operations is one of the most powerful engines for making that happen.
The companies that win will not necessarily have better AI. They will have a deeper understanding of their customers and the discipline to act on those insights faster than everyone else.
