"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