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Enterprise Voice Agents Demand Accuracy, Latency, and Compliance

Enterprise voice agents require more than just basic speech recognition; they need high accuracy on specific entities, sub-second latency under heavy load, and reliable turn detection for natural conversations. Platforms must also offer robust compliance features, such as SOC 2 Type 2 certification and BAAs for healthcare, alongside scalable infrastructure that can handle thousands of concurrent calls without artificial limits. Flexibility for mid-conversation updates and tool switching is also crucial for production-ready agents. AI

IMPACT Highlights critical factors for deploying production-ready voice agents, emphasizing accuracy, scalability, and compliance over basic features.

RANK_REASON This article discusses platforms for building enterprise voice agents, focusing on practical requirements beyond basic demos.

Read on AssemblyAI blog →

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COVERAGE [1]

  1. AssemblyAI blog TIER_1 English(EN) ·

    Best Platforms for Enterprise Voice Agents

    Compare the top enterprise voice agent platforms on speech accuracy, latency, compliance, and cost—and see how AssemblyAI, OpenAI, Deepgram & ElevenLabs stack up.