
Implement AI in Customer Service Without Losing the Human Touch | Ty Givens
Ty Givens explains why AI customer service needs a sound knowledge base and clear context before automation can strengthen the human connection.
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The supportive OS (LES) that guides and reinforces alignment so execution becomes the default, not a mandate.

Ty Givens explains why AI customer service needs a sound knowledge base and clear context before automation can strengthen the human connection.

Jason Mercer-Pottinger explains how remote contact centers use frontline autonomy and a measured AI approach to protect empathy and patient care.

McGuire encourages leaders to embrace change and break free from cognitive dissonance, unlocking the potential of AI and other transformative technologies.

But when flexible work became normalized, with only 11% of agents desiring full-time on-site roles, the legacy operating system began to fracture.

The issue is an outdated operating system that attempts to manage modern complexity through human-scale habits rather than engineered system architecture.

Think about it 10 years ago, we didn’t have Uber or Lyft drivers, you know, people weren’t what’s around cryptocurrency like Bitcoin, right?

And then most recently helped create a product where you could measure arterial fibrillation simply by putting the finger on your camera of your phone.

Legacy operating systems rely on manual enforcement, which forces leaders to spend energy managing friction rather than driving strategic velocity.

Most enterprise operating systems lack this structural discipline, allowing daily handoffs to wobble as strategic intent moves across operational silos.

When operating systems lack rapid resolution pathways, teams alter daily protocols to navigate around broken processes rather than fixing them.

When a company attempts to deploy novel, high velocity technologies within a pre-AI framework, the sheer cognitive load exceeds normal human capacity.