CASA25 Showcase Challenge: When AI Voice Becomes a Native Network Capability
A phone call. That’s the point.
At first glance, what the audience saw during this CASA25 Showcase Challenge didn’t look very exciting. A phone. A dialer. A live call.
No app demo. No futuristic UI. No flashy slides.
But that was exactly the point.
What Adnan Saleem from Radisys showed was a real phone call—using the native dialer—backed by an agentic AI assistant that doesn’t live in an app at all. The AI lives inside the telco network itself. And once you realize that, everything about the demo changes.
This wasn’t voice calling plus AI. It was AI voice as a native network capability, available on any device, on any operator network, without downloads or friction.
For readers who want to go deeper into the architecture behind this approach, Adnan covered that earlier at CASA25 in his keynote: “Voice Is Back (and Smarter Than Ever): How Radisys Is Unlocking New AI Revenue Streams for Telcos.”
A personal AI assistant, reached through the dialer
Instead of opening with architecture diagrams, Adnan went straight into the experience. Using his native phone dialer, he called his personal virtual assistant.
The assistant already had access to private information Adnan had explicitly shared—documents, calendar entries, reminders—and could also draw on public data when needed. He asked about upcoming travel, reminders for purchases, and itinerary details, all through a simple voice interaction.
Turning a phone call into a shared AI experience
The pivotal moment came when Adnan asked the assistant to place an outbound call to his colleague Ralph.
The call connected like any normal voice call. No applications on either side. Once Ralph joined, Adnan invited the virtual assistant into the live call, turning it into a three-party conversation. The AI actively participated—suggesting restaurants near Amsterdam Central Station, answering follow-up questions, and staying fully aware of the context of the discussion.
Automatic summaries, actions, and memory
When the call ended, the system automatically generated a call summary, action items, and a full transcript. These were delivered instantly via SMS with a secure link.
Meetings were identified, dinner plans captured, and next steps outlined—without anyone taking notes or switching tools. Adnan then showed how the call transcript could be imported into the assistant’s private knowledge base.
To close the loop, he called the assistant again and asked about his upcoming meetings and dinner plans. The AI responded instantly and accurately, using the context from the call that had just taken place.
Why “native” matters
What made this demo stand out was not just the AI, but where it lived.
This wasn’t an app layered on top of voice. It was native to the network itself. There was nothing to install, no interoperability issues, and no reliance on high-end smartphones. The service worked on any device, on any operator network, wherever voice works.
That makes it always available—and inherently inclusive.
The operator opportunity
During the Q&A, the conversation naturally shifted to monetization. From an operator perspective, how does this turn into real revenue?
Adnan outlined two clear paths. At the consumer level, this becomes a value-added service—an incremental monthly charge for a powerful personal productivity assistant. At the SMB and enterprise level, the value increases significantly: automatic call summaries, embedded business intelligence, action tracking, and AI-assisted workflows tied directly to everyday voice conversations.
Questions around AI accuracy, data privacy, and enterprise readiness were addressed directly. These are real concerns, but also expected steps on the path to large-scale commercial deployment—not fundamental blockers.
The bigger takeaway
The broader takeaway from this CASA25 Showcase Challenge was simple but important.
Voice doesn’t need to be reinvented. It needs to be elevated.
When AI voice is built directly into the operator network, the network itself becomes the platform—unlocking a new class of services that are personal, contextual, and ready to scale.
