For the first time in 2025, artificial intelligence customer service agents have consistently outperformed human teams, autonomously resolving 80% of inquiries at higher customer satisfaction rates. This breakthrough represents a fundamental shift in how enterprises think about customer experience, moving it from a cost center to a driver of engagement and revenue. The achievement comes from Ada, an AI platform processing 1.5 trillion tokens monthly, which emerged from founders who spent months working inside support teams before writing a single line of code. What Changed to Make AI Agents Finally Outperform Humans? The answer lies in how Ada's founders approached the problem. Mike Murchison and David Hariri didn't start by building AI; they started by becoming customer service agents themselves. They worked inside seven different companies' support teams, grinding through tickets in existing platforms to understand what made great agents effective. This immersive experience revealed insights no interview could capture: how software limitations forced agents to develop workarounds, what made certain agents more productive, and why customers responded differently to various approaches. What they discovered was that the industry had fundamentally misunderstood customer service at scale. Most companies treat support as a cost center to minimize, implementing deflection strategies to keep customers from reaching humans, measuring efficiency by minimizing handle time, and building elaborate self-service portals. The culture shifts from seeking customer contact to avoiding it. Murchison recalled the problem acutely from his previous company: "We felt like we were rejecting customer contact. Our customers had become these anonymous numbers that we were trying to keep at bay". The breakthrough came when Ada shifted from shallow resolution to deep resolution. Instead of telling a customer how to reset a password, Ada's agents now automatically reset the password and diagnose why the reset was needed in the first place. This distinction between explaining how to do something versus actually doing the work for customers became the unlock that made AI agents genuinely valuable. How to Build AI Systems That Actually Solve Customer Problems - Ground your product in outcomes, not technology: Ada's founders describe the company as "a customer experience company first and an applied AI business second." If another technology emerged that could improve customer experience better than AI, Ada would pursue it. This outcome-first identity protects you from building AI for AI's sake, a trap many enterprise AI companies fall into today. - Understand what customers truly value in pricing models: Ada began with outcome-based pricing, charging per resolved conversation, but discovered enterprise customers strongly preferred predictable, conversation-based pricing with annual commitments. Enterprises adopting AI-native software aren't experimenting anymore; they're going all in and building their businesses around it, requiring predictability for budgeting and forecasting. - Design for power users who will push your platform's limits: Making AI easier to use doesn't reduce demand for AI management; it increases it. Because people now have more leverage in controlling AI agent behavior, Ada's customers are managing their agents far more actively than before, pushing the platform's capabilities further than anticipated. The founders' hands-on approach revealed something critical: the best insights come from doing the work yourself, not just observing it. They didn't simply interview customer experience leaders; they asked those leaders if they could join their teams and experience the technology firsthand. This immersive methodology became foundational to Ada's product development philosophy. The customer service problem Ada identified goes beyond any single company. Murchison and David interviewed VP of Customer Experience leaders and Chief Customer Officers across dozens of companies and heard the same story: the conventional customer service model fundamentally fractures at scale. "There's no way this will be the dominant customer experience model in the future," Murchison stated, noting that the average person in North America will waste about 40 days of their life on hold if current trends continue. "We woke up one day, and we said, 'there's no way this will be the dominant customer experience model in the future," said Mike Murchison, CEO and Co-founder of Ada. Mike Murchison, CEO and Co-founder, Ada The 2025 milestone where Ada's AI agents began consistently outperforming human teams represents more than a technical achievement. It signals that enterprises have moved beyond AI pilots and experimentation into genuine transformation. The economics of customer experience have fundamentally shifted. Support is no longer just a cost center to optimize down; it's now a driver of customer engagement, product development, and revenue. For business leaders evaluating AI adoption, this breakthrough offers a clear lesson: the companies winning with AI are those who start with the customer problem, not the technology. They invest in understanding how work actually happens on the ground, then build systems that amplify human capability rather than simply automating it away. Ada's journey from contact center agents to an AI customer experience platform demonstrates that the most successful enterprise AI strategies begin with deep empathy for the work being transformed.
