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The technical capability is here — provision-to-revenue in under 60 seconds, demonstrated live. But what does that actually mean for the business teams who have to operate around it? CFOs, CROs, billing leaders, and SLA managers all have new operating models to figure out. By Shawn Ennis • August 25, 2026 • 7 min read…
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Your operations team knows SNMP, YANG, and MIB structures. The next generation of OSS engineering needs streaming graphs, AI correlation, and geospatial telemetry. The hiring profile has changed completely — and almost nobody is hiring for it yet. By Shawn Ennis • August 18, 2026 • 7 min read I’m going to make a prediction.…
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Drones at a port are a great demo because they’re visual and physical. But the real addressable market for slice-aware operations is much larger. Five sectors — and the specific ephemeral services that unlock real revenue in each one. By Shawn Ennis • August 11, 2026 • 8 min read Every white paper needs an…
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Take these to your next vendor meeting. Watch how they answer. The pattern of their answers will tell you more about whether their platform actually handles ephemeral services than any architectural slide deck ever could. By Shawn Ennis • August 4, 2026 • 8 min read I spend a fair amount of my week in…
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It’s not because the network can’t handle it. It’s because nobody outside the CSP has to ask permission to operate it. The quiet revenue migration to adjacent providers is happening — and operational architecture is the lever that determines whether CSPs ever take that ground back. By Shawn Ennis•July 28, 2026 • 7 min read…
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Every operator going to Copenhagen this June will see dozens of demos. Here’s why the slice-aware operations Catalyst with Wavelo, CGI, BT Group, and Rapax is the one that matters most for your 5G revenue roadmap. By Shawn Ennis•June 16, 2026 • 6 min read By the time you read this, the schedules are set,…
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How to Adopt Frank in 6 Weeks (Without Disrupting Your Team) You’ve read the case. You see the math. Now the question is: what does it actually take to deploy Frank? Here’s the 6-week path we use with every customer — assessment to go-live — and the risks we plan around. By Shawn Ennis•July 6,…
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How $50K Saves $1.16M (And Defers 6 Hires) I’m going to skip the prose and give you the math. Three deployment scenarios. Hard numbers. The payback in every realistic case is under three weeks. Here’s the business case your CFO will read. By Shawn Ennis•June 29, 2026•5 min read In the last four posts, I…
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4 Real Support Scenarios — And How Frank Handled Each One Theory is one thing. Watching an AI agent handle real tickets from your production support desk is another. Here are four scenarios from Rapax’s own support queue — and exactly how Frank responded. By Shawn Ennis•June 22, 2026•6 min read In the last post,…
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Meet Frank — The AI Tier 1 Agent Built for Telecom Frank is an AI-native support agent that lives inside your incident management system. He answers questions, classifies tickets, validates intake, catches false alarms, and escalates the rest — all grounded in your knowledge base. No hallucinations. Already in production. Here’s what he actually does.…