In competitive markets, I see two options: try to win the game competitors set, or choose to play a different game. In the "Customer Agents" category, I’ve watched too many glossy, fabricated demos—especially around voice—mask the real challenges. Voice is just extremely hard. We all know the future of customer experiences will be Agent-driven voice, yet most of us haven’t actually spoken with a modern AI Agent when calling a business because the tech hasn’t been truly ready in the wild. Today, the bar moves.
What changed? There’s a live, public demo of cutting-edge voice tech you can stress test yourself—no smoke, no mirrors. I recommend taking it for a spin: https://fin.ai/voice. It’s fast, natural, and, yes, very, very good.
For context, yesterday brought Apex Flash, their newest and fastest model, built for the unique demands of low latency channels like voice. Today comes Fin Voice 2, a major upgrade to Fin Voice with over 20 new features, and the first product built on Apex Flash.
Here are the three things that stood out to me—and why they matter for customer support AI strategy and product strategy.
First — thanks to Apex Flash, Fin Voice 2 is now the fastest, most natural Agent for phone, with higher resolution rates and customer satisfaction scores than ever before. Apex Flash is trained on millions of customer experience interactions, fine tuned for customer service, and can be configured to understand all your knowledge and follow all your policies. The result is higher resolution at significantly lower latency—the best of both worlds for voice AI agent performance.
Speed and naturalness here aren’t accidental. Most voice AI products are slow because they convert speech to text, send it to a general model, get a text answer, and then convert it back to speech. Fin Voice 2 was designed to work differently, separating the real time layer that handles speech processing, and the layer that generates answers. That architecture is purpose-built for the demands of customer service on voice.
Second — Fin Voice 2 can handle complex queries end to end: taking actions in external systems, verifying callers’ identities, processing refunds, booking appointments, and more. Phone is a high-stakes channel, and Fin adapts to customers across emotional states, clarifies when needed, and confirms key details before taking action. Most of the time, Fin can resolve the query in full, and when it can’t, it seamlessly hands off to the human team, maintaining full customer context and history. You also get multiple improvements to call quality, plus proactive outbound calls to follow up on unresolved issues—all orchestrated by robust AI workflows.
Third — Fin Voice 2 gives you total control with industry-leading tools to configure and manage how Fin behaves. You get rich, detailed insights into call behavior and quality, the most common topics of calls, and one-click recommendations to improve. As with everything in Fin, you can fully self-serve and then manage it all with ease, without requiring professional services. Many vendors only let you set up their voice agent under supervision; with Fin, you get everything you need to iterate fast.
If you haven’t tried the demo yet, go check it out: https://fin.ai/voice. If you prefer to wait, don’t be surprised when you end up speaking with it at a favorite brand soon.
From a product management lens, this is what matters: latency is a feature customers feel; transparency builds trust in enterprise AI; and control is non-negotiable for CX leaders. The combination of a purpose-built, agentic AI architecture, measurable gains in resolution and CSAT, and true self-serve configuration signals that voice is moving from prototype theater to production reality. That’s the different game I want our industry to play.
Inspired by this post on The Intercom Blog.
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