HappyRobot

Welcoming another 16 HappyRobots across engineering, operations, and go-to-market. 🤖 The team has grown almost 10x in the last year! Sharing a warm welcome to all these new faces who are already bringing tremendous value to our product and customers.

Just one year ago… Just one year ago I met with Sally Miller and after a few meetings with Jennifer Miller, Christophe Theys and the DHL team, we started working on a POC. Now, we're talking about our work together on different stages across the world! A few weeks ago it was Manifest: The Future of Supply Chain & Logistics. Last week, I had the pleasure of being invited to the #Optimus event organized by ORTEC, joining Jason Pawlowski, PMP from DHL Supply Chain for the keynote opening. Funny enough, our first use case with DHL was powered by ORTEC data, which made this moment on stage particularly special. We talked about the importance of coordination between systems and the role each one plays in making sure a task actually gets done. ORTEC plans. Our agents execute. Just one year ago, we started with one use case. Now we're live across multiple regions and divisions. And we're just getting started! 🚀 Thanks, ORTEC team and George Ninikas for having us! And thank you Sally Miller for being an early adopter and moving so fast with such high conviction!

At HappyRobot our EMEA demand continues to flourish! In order to be as close to our customers as possible, we are looking for a Seller and a Forward Deployed Engineer in Germany! Please reach out if you're in the area and interested - we have some incredible teams we're working with out there and this is the opportunity to be the first boots on the ground to make a huge impact and lead our Strategy for Germany. 🤖 🚀

At DHL Supply Chain, we’re excited to use HappyRobot, an agentic AI technology, to enhance patient transport services within our Healthcare & Specialist (HSL) business unit. These autonomous systems take on high‑volume, routine tasks such as confirming appointments and managing calls, so every patient receives timely, consistent communication. This delivers smoother workflows, fewer wasted journeys, and a better experience for our healthcare partners and patients. With the capacity to complete up to 100 calls simultaneously, the AI saves around 2,300 hours a year. It reflects our commitment to smart innovation that boosts productivity while delivering a smoother, more seamless customer experience.

For the enterprise, the problem with traditional automation has been a lack of flexibility. Today, with agentic AI, a new barrier for getting AI into production is a lack of control. HappyRobot was built on the premise that enterprise work requires both. Our workflow builder is designed as a hybrid of agentic reasoning and deterministic logic. Agentic AI understands intent and context. If a customer mentions a secondary issue mid-workflow, the agent doesn't break. It processes the information, adjusts its path, and returns to the objective. Determinist logic defines the non-negotiables: the API calls, the data validation steps, and the hard "if-then" branches. This ensures that the AI remains a reliable system of record that your IT and compliance teams can trust. Most AI tools are currently in a "tinkering" phase because they lack this dual structure. They are either too simple to be useful or too unpredictable to be safe. At HappyRobot, we believe that for AI to be useful at scale, it must be as reliable as a script and as capable as a human. See full post in comments. 👇

Someone realized that Chipotle's chatbot could also code for you. Free tokens? Maybe. Not with HappyRobot Our "AI-FDE" would catch that and (self)fix the workflow. Yes! an AI Auditor that would see this mistake and fix the prompt autonomously... ...if for whatever reason this had passed the adversarial agents in the Eval phase. Yes! a swarm of AIs that "attack" and test the AI Agent to make sure is ready to go to production. We call it BEA: Build-Evaluate-Audit -> and it's an AI-LOOP guided by high level business objectives or North-Stars. https://lnkd.in/dzmdZsjw

Earlier this week at #MWC26 in Barcelona, I shared the floor with Jonathan Abrahamson (Deutsche Telekom), Pablo Moro (Telefónica) and Ryan Foutty (Perplexity), to talk about how AI is already shaping enterprise business. The technology is getting better every day. It is advancing fast enough that raw intelligence is no longer the bottleneck. But the gap between saying "AI can do this" and actually proving "AI is doing this, reliably, in enterprise operations, at scale" is massive. Moving from a proof of concept to a system that actually automates a call center with millions of calls yearly, processes endless amounts of documents, and updates systems of record requires serious orchestration. At HappyRobot, we are building the agentic infrastructure for the AI workforce of the Enterprise, and successfully deploying AI with our partners in mission critical settings. We are creating the foundations of how the enterprise of the future will operate. If your organization is ready for autonomous operations, let’s talk!

AI is a powerful cost lever. But the companies we work with are discovering something more compelling. AI workers are generating revenue that simply didn't exist before - giving sales organizations the ability to operate at a scale and speed that was previously impossible. Three use cases where we're seeing this play out: → Outbound reactivation. New pipeline, from a customer base that had gone dark, accounts no rep had bandwidth to touch. 28x ROI. → Inbound lead qualification. AI workers engage with inbound leads instantly, capturing and qualifying prospects in real time. 4.75x more qualified leads at 25% of the cost. → Fully autonomous booking. AI workers take the call, quote rates, negotiate, and confirm the booking. We've seen 18% fully autonomous books running 10% higher margins. The revenue was always there. AI workers made it reachable. Learn more: https://lnkd.in/gGH_AXDZ