Voice was the unlock to many of the operations that are really needed to move the world if we talk about supply chain.

This is not a supply chain specific problem that we are solving.

It's actually an enterprise coordination problem.

The bigger problem in the coming use for voice here is really knowing when to talk and what not to talk. So it's understanding all these nuances in the work more than making the latency faster

or making the voices more realistic, which I don't think that's a limiting factor today.

I feel like Happy Robot has always been at the forefront of kind of humanness.

Do you want the customers to know they're talking to an AI? Where does that go?

I think it's super important that

Most AI demos happen in controlled environments.

The real challenge begins when AI has to operate inside large organizations,

where information is fragmented across systems, teams, emails, phone calls, and workflows

that have evolved over years.

Logistics and supply chains have become an early proving ground for these systems.

Success depends not just on model intelligence, but on coordination, context, and the ability

to execute work reliably in the real world.

Anisha Charya and Olivia Moore speak with Pablo Palafox and Luis Parra from Happy Robot, about voice

AI, enterprise agents, and the challenges of deploying AI in operationally complex industries.

Olivia and I are here with the two incredibly talented founders of Happy Robot, Pablo and Luis.

Welcome, guys.

Thank you, guys.

Super excited.

Very excited to have you.

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