Choosing the Right auto-AGENTS™ Voice Bot Architecture

A Practical Guide to Transcribed vs. Direct-Audio Architectures

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Overview

auto-AGENTS™ from Commerce.AI supports two distinct voice processing architectures:

• Transcribed (Chained) Architecture
• Direct-Audio Architecture

Each model is optimized for different goals—such as compliance, cost, latency, or multilingual flexibility. This guide explains how each one works, provides easy-to-understand analogies and examples, and offers a side-by-side comparison to help you decide which approach (or blend) fits your use case.

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Architecture 1: Transcribed Architecture

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Analogy

Like a thoughtful assistant who writes down your question, thinks carefully, and responds clearly.

Processing Flow

Audio → Text → AI → Text → Audio

(See: Transcribed Architecture Diagram)

When to Use

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• When cost per call is a significant factor
• When fine-grained voice tuning and clarity are important
• When regulatory or training teams need accurate transcripts

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Architecture 2: Direct-Audio

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Analogy

Like speaking to a live interpreter—fast, seamless, and highly responsive.

Processing Flow

Audio → AI → Audio

(See: Direct-Audio Architecture Diagram)

When to Use

• When immediate, sub-second response time matters
• When users speak fluidly across languages
• When conversational flow must feel as natural as possible

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Comparison Table

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Choosing the Right Architecture

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Combining Both Architectures

Many teams choose a blended deployment strategy:

• Use Transcribed for: appointment scheduling, service inquiries, billing questions, regulated interactions
• Use Direct-Audio for: high-speed interactions, global support queues, voice-activated services

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