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"Every AI bot I've ever tried has failed me." That's what a news anchor told me, live on air, a few minutes into an interview about our $30M raise. Her follow-up was obvious: so why would yours be any different? She was right about the old bots. They felt robotic because a human had to script every path, and scripts create loops and dead ends. We don't write scripts. We learn from an organization's own top performers, in sales, in service, in collections, wherever the conversation drives revenue, and we reverse-engineer how they win. Not just what they say, but why it works: the moment they slow down, the objection they let sit for a beat before answering it. Today we run millions of interactions a month. Many customers never realize they're talking to AI, and satisfaction scores often come in higher than they do for human reps. That's the honest answer. Not a smarter script. A different starting point.

A new issue of our newsletter is live! This time, we're featuring a full recap of the newest episode of the Exceeding Expectations podcast, featuring Adam Slonim, leadership strategist, broadcaster, and AI adviser. In this conversation, Adam dives into why the most critical factor in AI adoption is how leaders think about control, culture, and the human dimension of work transformation. Adam covered a lot of ground and brought up points that genuinely made us think differently about how AI is being used in the workplace. We broke down the full podcast here. 🎧 Prefer to listen? Get the full episode on YouTube: https://lnkd.in/dqaBiPd3 Inside the recap: ➤ The critical difference between AI's emotional mimicry and genuine human empathy ➤ Why the conversation about AI's impact on work has been fundamentally wrong ➤ How metacognition changes everything about leadership's role in directing adaptive, high-performing teams ➤ The alignment model that separates high-performing teams using AI from those paralyzed by it ➤ Two non-negotiable decisions every leader must make before deploying AI ➤Why the teams achieving the highest productivity and creativity with AI are the ones with the best conversations More on Adam: https://lnkd.in/d8xKxh2G

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We just won a 2026 Finovate Award! Thank you to Finovate and to the judges. Financial services needed something that didn't exist yet: real enterprise AI transformation, from cost saving and deflection, to making more revenue from customer interactions they already have. Encore AI built it. Our patented technology studies a company's own conversations, reverse-engineers how its best people actually win, and puts that judgment on every interaction, voice or chat, every channel, as a teammate beside the team or running autonomously. AI that engages, performs, and converts like your best people, turning every customer interaction into revenue. That's what Finovate recognized and that's what we plan on continuing to do. Scale your best to be the best!

We invite you to listen to a genuinely eye-opening episode of Exceeding Expectations by Encore, featuring Dan Roth, Chief AI Scientist at Oracle and Professor at the University of Pennsylvania. He argues something most people get backwards: that the smartest AI comes from a smarter model. His take: it's the opposite. The biggest gains in enterprise AI are hiding in your data, not the model. Most of what your organization knows will never live inside a model. It sits in Confluence pages, Slack threads, email chains, and compliance files, and the model only sees it at runtime. That's just the opening. The full conversation goes deeper than we can fit here. Listen now or save for later, you don't want to miss this one. 🎧 Full episode on YouTube: https://lnkd.in/dCFeFCu9 What you'll learn: → Why fluency isn't intelligence, and why real tasks need solvers and structure around the model (the field calls it neurosymbolic AI) → Why most enterprise data will never live inside a model, and why that changes how you prepare for it → Why retrieval is far from solved: Dan ran a multi-step tennis query on every major model during Wimbledon, and all of them failed → Why invisible failures are the biggest enterprise risk: when you don't already know the answer, the mistake slips through unnoticed → The semantic data layer: the offline investment almost no one is making, and why it beats routing everything through agents at runtime More on Dan: https://lnkd.in/dvFMU5mQ

In this episode of Exceeding Expectations by Encore, Adam Slonim, leadership strategist, broadcaster, and AI advisor, dives into the most critical factor in AI adoption: how leaders think about control, culture, and the human dimension of work transformation. This was a revealing conversation which touched on a variety of topics, including the role AI will have in job displacement. In Adam’s view, that framing is broken. Work isn’t a monolithic job anymore; it’s a series of tasks. And the real question should be, which tasks can AI accelerate and which ones demand irreplaceable human capability? That’s only a small part of what Adam discussed. His insights framed AI in the workplace in a way we hadn’t thought about. 🎧 Full episode on YouTube: https://lnkd.in/dpUD75Zw What You’ll Learn: ➤ The critical difference between AI's emotional mimicry and genuine human empathy ➤ Why the conversation about AI's impact on work has been fundamentally wrong ➤ How metacognition changes everything about leadership's role in directing adaptive, high-performing teams ➤ The alignment model that separates high-performing teams using AI from those paralyzed by it ➤ Two non-negotiable decisions every leader must make before deploying AI ➤Why the teams achieving the highest productivity and creativity with AI are the ones with the best conversations More on Adam: https://lnkd.in/d8xKxh2G