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Most AI roadmaps chase what’s flashy. Cool demos. Conversational flair. “Look what the model can do.” And then they hit a wall: – No compliance – No logic – No ability to control what AI actually says or does That’s the dirty secret behind a lot of failed enterprise AI rollouts. Plenty of power. Zero control. At Zingtree, our roadmap goes the other direction. We’re doubling down on AI that doesn’t go off-script. Our focus? Tough, high-stakes workflows where you can’t afford to be wrong — and where AI has to follow the rules. We’re building: - Automation that fits regulated, complex use cases - Logic-based workflows with AI running inside them - Confidence-score tuning and fallbacks, fully in the hands of the business - Control systems that let you govern AI behavior If the AI can’t be trusted to stay on track, it shouldn’t be in production. That’s the bar we’re building to meet. #EnterpriseAI #ProductRoadmap #ControlOverAI

Every company says they have a great team. Our customers say it for us. At the end of nearly every customer meeting, I hear the same thing: “ Juan, you have a phenomenal freaking team.” Not because we’re flashy. Because we show up. We move fast. We lead with action. We communicate clearly. We treat customers like partners. We bring urgency, intelligence, and humility to every challenge. That’s not marketing. That’s culture. At Zingtree, our product is strong, but our people are what make it work. And that’s the part I’m proudest to lead. #ZingtreeTeam #CompanyCulture #TeamThatDelivers

Enterprise buyers are waking up. A year ago, everyone thought AI would be plug-and-play. Flip the switch. Instant value. Big win. Now they’ve seen the reality. Projects failed. ROI didn’t show up. Internal systems couldn’t connect. Not because AI doesn’t work, but because there wasn’t a plan. No strategy. No defined use cases. No integration with workflows or data. No right-sized partner to help make it real. What we’re seeing now is smarter buyers. People who’ve learned the hard way and are ready to do it right. Start small. Test and iterate. Pick the right partner. And match the solution to the actual problem That’s how AI sticks. That’s how it scales. #EnterpriseAI #CXLeadership #AutomationStrategy

“We’re the last generation of leaders who only manage people.” That isn’t a prediction. It’s a wake-up call. Whitney Smith from Sony said it best in our last fireside chat. AI isn’t replacing your team. It’s removing the drag, so they can focus on the real work. She pointed to three use cases already in motion: 1. Voice of Customer → Instant Insights You get thousands of surveys a month. No one reads them. But AI can. Then summarize key themes, flag patterns, and recommend action. Still with humans in the loop to validate, interpret, and act. It’s fast. It’s safe. And it’s operational gold. 2. Agent Assist → From Calls to Context AI can now summarize calls, auto-tag cases, and surface key data mid-interaction. The agent doesn’t need to dig. They walk in with the context and walk out with clean notes. Every vendor’s talking about this for a reason. It’s happening now. 3. Personalization → From Support to Anticipation Whitney gave an example: The #1 visited page on her support site is for firmware updates. So what if AI could: - Detect a customer’s camera model - Match it with their device data - Automatically push a personalized SMS when a new update drops? That’s what proactive CX looks like. — Whitney called this agentic technology for the workforce. And she’s right. It’s not about replacing talent. It’s about making sure their time goes toward the heart of the work: Seeing the journey. Solving real problems. Driving experience forward. #FutureOfWork #AIinCX #CustomerExperience

Most vendors ship you software and wish you luck. That’s not how we do it at Zingtree. We partner with our customers to build the right solution every time. Not just with CX leaders. With product, digital, AI, and tech teams too. We’re in the room. Whiteboarding use cases. Mapping logic. Designing flows that match how your business actually runs. Yes, we know AI. Yes, we know automation. But the real value is in how we co-create solutions — fast, flexibly, and without guesswork. This is the future of enterprise software: Not just smarter tools. Smarter partnerships. #EnterpriseAI #CustomerExperience #AutomationThatWorks

AI won’t replace humans. But the people who use AI well… will replace the ones who don’t. That quote came up in our recent fireside chat, and it stuck. The real challenge isn’t just using AI. It’s using it in a way that doesn’t create chaos. Zebyalin Jennings made a great point: “Tool sprawl and tech bloat aren’t new problems. AI just makes them more visible.” When every team starts buying point solutions and chasing narrow use cases, you end up with: - Duplicated workflows - Conflicting logic - Dev teams spread too thin AI needs orchestration. Not just access. And orchestration means asking hard questions before adding anything new: - Do we already have something that solves this? - Can this tool serve more than one vertical? - Is the ROI worth the integration tax? If the answer’s no? It’s not worth it. You’re not automating. You’re just adding overhead. What we’ve seen at Zingtree: The most successful CX teams don’t just add AI. They embed it into existing systems with clear logic, defined roles, and business control. That’s the only way automation scales. #CustomerExperience #AIstrategy #AutomationThatWorks