Guide

Voice AI
for Contact Centers

Build vs. Buy, where model strategy meets platform choice.

Learn how to:
  • Explore vendor types and their impact on the quality of voice AI
  • Achieve 40% faster response times with sub-100ms latency
  • Deploy contact center-optimized voice AI in weeks, not months
  • Balance cost, latency, and performance.

Content

Key Points

Know the LLM vs. SLM trade-offs

Compare large vs. small language models for performance, latency, cost, and infrastructure needs.

Compare Inference Costs

Large model costs can hit $4.40 per million tokens, while small models run for as low as 14 cents.

Billions of Parameters ≠ Better UX

Diminishing returns in performance over 100 billion parameters, especially in conversational fluency.

PREVIEW

Compare Providers

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Category
Hybrid Model Use
Voice Optimization
Time-to-Value
Cost Efficiency
Scalability
Vendor A
Vendor B
Vendor C
Vendor D
Vendor E
Vendor F
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