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Revenue Leakage & Intake Performance
AI-assisted · review provenance not recorded

Voice AI Architecture: Evaluate the Whole Conversation

|AlphaForge Editorial|1 min read
AI AgentsVoice AIBuild vs HireAgent Infrastructure

Voice AI does not always require three separately selected models. OpenAI's Realtime API introduction, originally published in October 2024, describes direct speech-to-speech interactions and contrasts them with a transcription, text-model and speech-synthesis pipeline. That establishes an architectural alternative, not a performance ranking or a statement about AlphaForge's current deployments.

Ask what the proposed system actually does

Our recommendation is to request a diagram of the configured conversation path: incoming audio, processing, retrieved information, tool actions, outgoing speech and staff handoff. Identify each provider and the information it receives. Do not infer the deployed architecture from the marketing term “voice agent.”

Test the experience and the boundaries

Include interruptions, unclear speech, incomplete information and requests outside the intended task. Measure latency and quality on the configuration being offered. Inspect what happens when a tool is unavailable or a caller needs a person.

Keep the firm’s requirements central

Define who maintains the information used in answers and who reviews proposed changes to permissions. Agree how the implementation is evaluated when a model or provider changes. These are acceptance recommendations; neither a component count nor a public product announcement establishes that a system meets a firm's needs.

Editorial correction: unsupported or unavailable-source claims were revised. Original publication date retained; this correction does not certify every other article in the archive.


Revenue Leakage & Intake Performance

Start with the problem in front of you.

The focused review is a conversation starter. Deeper findings move into the Firm Intelligence Audit.

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