What if the next competitive advantage in business isn't working faster with AI, but making better decisions because of it? As organizations rush to become AI-native, many conversations still focus on productivity, automation, and shipping work more quickly. But is speed really the outcome that matters most?

In this episode of AI at Work, I welcome Jorge Valdivia, Chief Technology Officer at Fleetio, for a thoughtful discussion about what AI is actually changing inside modern organizations. Rather than adding another voice to the growing hype around artificial intelligence, Jorge offers a refreshingly practical perspective on why the future belongs to businesses that combine trusted expertise with intelligent technology.

We begin by exploring how enterprise software has evolved over the past decade. For years, success meant becoming the system of record, collecting information in one central place and serving as the trusted source of truth. Today, however, customers expect something more. They want software that helps them produce measurable business outcomes, save money, improve operations, and clearly demonstrate return on investment.

That shift naturally leads us into one of the most interesting parts of our conversation. Jorge challenges the common belief that AI automatically turns average performers into exceptional ones. Instead, he argues that the people gaining the greatest advantage from AI were already deeply curious about their customers, understood their industry, and knew how to solve meaningful problems. AI doesn't replace those qualities. It amplifies them.

Throughout our discussion we examine what separates productive work from valuable work. While AI can certainly automate repetitive tasks and reduce time spent on administration, Jorge believes its greatest contribution comes from helping teams make better decisions. By bringing together customer feedback, product information, engineering data, and business context, AI becomes another source of insight that helps organizations identify the right opportunities instead of simply executing more tasks.

We also discuss what it really means to become an AI-native leader. Rather than chasing every new tool or trend, Jorge explains why successful leaders focus on understanding where AI genuinely creates value for customers. That often means balancing experimentation with discipline, embracing automation where it removes friction, while keeping people responsible for the strategic decisions that still depend on judgment, context, and experience.

One example that stood out involved Fleetio's own product development process. Faced with defining its long-term AI vision, the team used AI to synthesize customer conversations, product feedback, engineering insights, and design concepts into a shared understanding that had previously taken months of discussion without resolution. The technology didn't replace human thinking. It accelerated collective understanding so better decisions could be made.

As our conversation draws to a close, Jorge shares advice for anyone building products or developing their career in an AI-powered workplace. Learning to use AI tools is rapidly becoming an expected part of the job, but lasting success still depends on becoming a trusted expert who understands customers, business problems, and the context behind every decision.

Is the biggest opportunity with AI really about doing more work? Or is it about making smarter decisions that create better outcomes for customers, employees, and the business itself? I'd love to hear where you stand after listening.