What if your operations team started each day with every check call completed and only the real exceptions waiting? We sat down with Happy Robot co-founder Pablo Palafox to unpack how an AI workforce is changing the cadence of work in freight—beyond chatbots and into end-to-end execution.Pablo’s path runs from deep learning research and a Meta internship to YC, a hard pivot, and a clear problem: late deliveries, fines, and interns glued to phones. That pain created an opening for agents that don’t just “assi...
What if your operations team started each day with every check call completed and only the real exceptions waiting? We sat down with Happy Robot co-founder Pablo Palafox to unpack how an AI workforce is changing the cadence of work in freight—beyond chatbots and into end-to-end execution.
Pablo’s path runs from deep learning research and a Meta internship to YC, a hard pivot, and a clear problem: late deliveries, fines, and interns glued to phones. That pain created an opening for agents that don’t just “assist,” but actually do the work—track and trace, carrier sourcing by phone and email, POD collection, and data updates—while writing everything back into your systems. We dig into the three-layer model his team uses to scale results: execution (agents that act), data (records that get richer with each action), and intelligence (an observability layer where leaders can ask the business direct questions and get grounded answers).
We go inside the enterprise stack: why orchestration and developer-grade tooling matter, how forward-deployed engineers capture tribal knowledge and SOP nuance, and what “manage by exception” looks like for a rep when agents handle the repetitive flow. From reviving dormant LTL accounts to surfacing carriers for real loads, we talk about what to automate, what to avoid for compliance, and where human creativity stays central—especially in customer sales. Pablo shares real outcomes, including dramatic reductions in manual workload and teams redeployed to higher-leverage roles without heavy headcount cuts.
Call it minute one of a much bigger game. As operations interconnect—maintenance signaling brokerage, intelligence spotting margin leaks—agents become the connective tissue and humans become the strategists. If you’re serious about scaling service, protecting scorecards, and growing without linear hiring, this is a blueprint for turning AI from buzzword to advantage.
If this convo sparked ideas for your team, follow the show, share it with a colleague, and drop a review with the one workflow you’d hand to an agent first.
Follow The Freight Pod and host Andrew Silver on LinkedIn.
Thanks to our sponsors:
Stuut Technologies: Your AI coworker that collects your cash automatically.
https://www.stuut.ai/
Cloneops.ai: Not just AI. Industry-born AI.
https://www.cloneops.ai/
Rapido Solutions Group: Nearshore solutions for logistics companies.
https://www.gorapido.com/
GenLogs: Freight Intelligence on every carrier, shipper, and asset via a nationwide sensor network
https://www.genlogs.io/
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