CommBox

Big news from CommBox- and a major milestone in our partnership with SAP 🚀 We’re excited to announce a new native integration between CommBox and SAP Engagement Cloud, formerly SAP Emarsys. Now, when a customer responds to a WhatsApp campaign, CommBox AI Agents can immediately continue the conversation with full campaign context- qualify a lead, complete the next action, resolve a service request, or seamlessly escalate to a human when needed. Every interaction and outcome is synced back into SAP Engagement Cloud in real time. From campaign → conversation → business outcome. A huge thank you to the SAP Engagement Cloud team, especially Alex Timlin, James C., and Lucas Bergström, for helping bring this integration to life. We’re incredibly proud of what we’ve built together- and excited for what comes next. The announcement is now live on AP News via EIN Presswire. Read the full story: https://hubs.la/Q04x17SC0 #SAP #SAPEngagementCloud #SAPEmarsys #Emarsys #CommBox #AIAgents #WhatsApp

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Voice AI is having its glossy demo moment. Everything sounds natural. Every customer follows the script. Nobody interrupts, changes direction, calls from a noisy car, or asks the AI agent if it is from outer space. Production, unfortunately, did not get the script. Over the past stretch, we have had a front-row seat as we put Voice AI into production across real customer environments. It has been exciting, humbling, and occasionally very funny. One thing has become very clear: an AI agent that can hold an impressive conversation is not necessarily production-ready or capable of delivering ROI. The real test is whether it can complete the right customer journey, recover when people behave like people, move across channels without losing context, and know when to stop talking, disconnect gracefully, or bring in a human. A skill some humans could also benefit from. In the article bellow, I share my reality check on what it takes to move from a promising Voice AI pilot to a production solution that delivers measurable ROI. Where it works. Where it breaks. What teams underestimate. And a few things we got wrong along the way. If you are building, buying, or deploying Voice AI, I hope these lessons save you time, a few wrong turns, and possibly a 20-minute conversation about your agent’s religious beliefs. Yes, that really happened. Read the full article: https://lnkd.in/dVhfRW5S If you are already running Voice AI in production, I would genuinely love to compare notes. What surprised you most?

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