Fostering breakthrough AI innovation through customer-back engineering

Despite significant investments in digital transformation, many organizations capture less than a third of the expected value, largely due to a technology-first approach that overlooks customer needs. Research from McKinsey highlights that companies often start with existing technological capabilities and add applications on top, resulting in fragmented solutions and poor customer experiences. In contrast, firms achieving exceptional results with artificial intelligence (AI) adopt a “customer-back engineering” mindset, placing customer challenges and expectations at the center of product development and working backward to design technology solutions. Capital One exemplifies this approach by integrating engineers directly with customers to foster innovation and improve outcomes. Ashish Agrawal, managing vice president of business cards and payments technology at Capital One, emphasizes that engineers’ proximity to customer experiences drives “sideways innovation” and a multiplier effect, enabling unique problem-solving perspectives. The company encourages engineers to engage with customers through various touchpoints such as digital empathy sessions, embedded customer support roles, ride-alongs with sales and support teams, and hackathons focused on real customer issues. This customer-centric culture not only motivates engineers but also ensures solutions are closely aligned with user needs. The rise of AI presents both challenges and opportunities in this context. While faster product lifecycles demand rapid innovation, engineers’ access to customer data allows them to leverage AI techniques more effectively to address problems. Agrawal highlights examples in customer service where AI can instantly summarize conversations and provide agents with context, enhancing responsiveness and customer satisfaction. By embedding customer insights into AI development, organizations can accelerate innovation and deliver more seamless, impactful experiences. This shift toward customer-back engineering underscores the importance of aligning technology development with real-world user needs. It suggests that companies willing to break down silos between engineering and customer-facing teams can unlock greater value from digital investments, improve transformation success rates, and harness AI’s full potential to meet evolving customer expectations.