Last week’s CPaaSAA AI Working Group brought together members for a practical discussion on one of the fastest-moving areas in communications: AI voice agents.
The session opened with a clear observation: major AI platforms are rapidly absorbing voice. Salesforce, Google, OpenAI and Anthropic have all been moving quickly with agent platforms, many of them voice-enabled. That creates pressure for the CPaaS ecosystem, but also a clear opportunity.
Because while the large AI players can move fast, CPaaS providers bring assets that generic agent platforms do not easily own: real-time multimodal delivery, network trust, conversational context, compliance, routing, resilience, and deep knowledge of enterprise communication workflows.
A key part of the discussion focused on how voice agents are actually built. Members compared all-in-one platforms, speech-to-speech models, fully custom pipelines, and modular open-source frameworks such as Pipecat, LiveKit and Jambonz. Each approach has trade-offs. All-in-one platforms are fast to deploy, but limit control. Speech-to-speech models are improving quickly, but can collapse too much of the reasoning chain into a black box. Custom pipelines offer control, but are complex to build and maintain. Modular frameworks may offer the best balance for many production use cases.
The group also discussed the hidden realities of production voice AI: noise suppression, turn detection, latency, failover, observability, compliance, handoff to humans, and per-minute economics. These are not small details. In voice, half a second matters. A model outage matters. A background TV can break the experience if noise handling is not right.
One important theme kept returning: voice AI is not just about the smartest model. It is about delivering reliable, trusted, context-aware conversations in real-world environments. That is where CPaaS, CCaaS, UCaaS and telco ecosystems have a major role to play.
The meeting also reinforced why CPaaSAA Working Groups matter. These are member-only sessions where practitioners, builders, vendors, telcos and experts can compare notes openly, share what is working, and make sense of a market that changes almost every week.
As AI voice moves from demos to production, the companies that win will not simply be the ones with the flashiest model. They will be the ones that understand the full stack: voice, data, trust, compliance, orchestration, enterprise workflows and measurable outcomes.
That is exactly the kind of conversation CPaaSAA’s AI Working Group is designed to support.
I've spent my career in IT and telecoms building bridges, from the early days of cloud communications to today's reset around APIs, CPaaS and AI.
As Founding Partner of The Next Cloud and CPaaSAA, I help telcos, CPaaS players and AI-native scaleups work out where they fit in the AI era, through strategy, ecosystem building and events.
My view: the value is moving from platforms to outcomes, and real innovation comes from ecosystems, not incumbents acting alone.
Based in Amsterdam, usually somewhere else.
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