"I would urge folks to at least look at what parts of their business could benefit from some form of automation." - Pablo Palafox

In this episode, Parthesh Shastri speaks with Pablo Palafox, Co-founder and CEO of Happy Robot, about how AI agents are transforming industrial operations — from automated supplier coordination to self-correcting autonomous workflows. Pablo shares his journey from computer vision research to building voice-first AI platforms and explains why industrial leaders need to start deploying AI now as adoption cycles shorten and ROI becomes clear.

Pablo holds a PhD in Computer Vision from TUM and previously worked on autonomous systems at Meta’s Reality Labs. At Happy Robot, he now leads a platform that serves 60+ enterprise customers — including several Fortune 500s — with multi-channel AI automation across freight and supply chain communications.

Discussion Points

• Pablo shares how his background in robotics and AI research (inspired by his brother) led him to focus on deep learning.


• The team pivoted after Y Combinator, uncovering communication pain points in freight through Javi’s CFO experience.


• Happy Robot stood out by prioritizing voice-first AI agents and later expanded to multi-channel capabilities.


• Enterprise sales cycles have accelerated as industrials see AI’s value, with customers realizing 100x+ ROI in areas like payment collections.


• AI agents are shifting from structured workflows to autonomous, self-correcting systems — and industrials need to act now to stay ahead.

Ayna is a premier advisory and implementation firm in the industrial technology space, leveraging a team of experienced leaders to help companies and investors drive performance improvement and value creation. The host of this episode is AYNA’s CTO – Parthesh Shastri.

For More Information

Pablo Palafox LinkedIn

Pablo Palafox X

Happyrobot.ai

Ayna.AI Website