Voice AI Workflow Builder

AWS-native voice AI implementation

What it is

Reference architecture + implementation services for active voice agents (sales coaching, training, customer support) on foundation models + agentic orchestration + speech-to-text + text-to-speech. Multi-model orchestration so the right model handles each interaction.

Make money for the customer

  1. 10-25% conversion lift from consistent coaching quality at scale (28% vs 22% control, Allego/Outreach)
  2. 20-30% ramp time reduction for new sales hires (up to 67% best-case)
  3. Revenue-per-rep capacity uplift: one senior coach covers 3-5x more reps

Save money for the customer

  1. Human coach hour replacement; QA from 5-10% spot-check to 100% AI-evaluated
  2. 40-60% Tier-1 support deflection (Zendesk/Salesforce median 41%, top quartile 58%)
  3. Avoided $1-2M / 6-12 months DIY voice AI build vs $90-200K / 6-10 weeks implementation

Customer proofs

Education (30,000+ courses), Voice-AI tutoring, Healthcare conversation intelligence

AWS service surface

Capability: foundation models, agentic orchestration, speech-to-text, text-to-speech, knowledge bases

AWS strategic angle

Drives foundation-model + agentic-orchestration + speech consumption