AI should automate repetitive, predictable tasks, while humans manage messy, high-stakes emotional customer issues. This creates a collaborative system where AI supports agents rather than replacing them. The guest frames this as "AI handles the routine, humans handle the heart," emphasizing a necessary partnership.

Criteo views the "human in the loop" not as a fallback but as a fundamental design requirement for all AI systems. Their development process explicitly focuses on identifying the correct place for human intervention and decision-making, believing that full automation is both risky and less effective.

Contrary to the belief that humans should always be 'in the loop,' strategic disengagement is key. By handing off well-defined 'middle' tasks entirely to AI, humans can conserve cognitive energy for high-leverage activities like initial problem-framing and final quality assurance, where their input is most valuable.

Once companies achieve scale and efficiency through AI, the strategic conversation will pivot. The new competitive advantage will be intelligently deploying human employees at critical moments to provide a valuable 'human touch,' ensuring customers don't feel they are in a 'robot wasteland.'

While AI can increase efficiency, many customers are not yet comfortable relying on it fully. To maximize lead capture, AI-driven systems like chatbots must provide an easy, immediate option to connect with a person. A system that is "AI-driven but human-backed" ensures no customer is lost due to their technology preference.

With AI, the "human-in-the-loop" is not a fixed role. Leaders must continuously optimize where team members intervene—whether for review, enhancement, or strategic input. A task requiring human oversight today may be fully automated tomorrow, demanding a dynamic approach to workflow design.

Soon, discussing AI as a feature will be table stakes. The strategic conversation will evolve to focus on AI as a new operating model, centering on how to manage and orchestrate a hybrid workforce of human and AI agents to optimize the entire customer journey.

Cresta's CEO categorizes customer interactions into three types: those caused by broken processes (eliminate), transactional tasks (automate), and high-emotion issues (augment humans). This framework provides a nuanced approach to AI in customer experience, moving beyond a simple automation-first mindset.

A tangible way to implement a "more human" AI strategy is to use automation to free up employee time from repetitive tasks. This saved time should then be deliberately reallocated to high-value, human-centric activities, such as providing personalized customer consultations, that technology cannot replicate.