Call center ai · Production

Echo AI integrates AssemblyAI Voice AI to power generative AI conversation intelligence at scale

The problem

Customer conversations are the most valuable piece of data a company can have, but too much of that data sits unused and underutilized — and without highly accurate AI speech-to-text, extracting actionable insights from those conversations at scale is not possible.

Workflow diagram · grounded in source
1
Customer conversation captured
trigger
“the Echo AI platform turns all customer conversations into key actionable insights across singular and collective conversational data”
2
AI speech-to-text transcription
ai_action
“without highly accurate AI speech-to-text, these insights wouldn't be possible”
3
Multi-model conversation analysis
ai_action
“summarization, intent classification, sentiment analysis, tagging, custom questions, agent performance, and more”
4
Insights surfaced to end users
output
“surfacing deeper insights that lead to a more contextual understanding of customer feedback”
5
Strategy adjustment feedback loop
feedback_loop
“makes it easier and faster for end users to adjust strategies that reduce churn and improve customer satisfaction”
Reported outcome

Powered by AssemblyAI's speech-to-text and speech understanding models, Echo AI built a Generative AI-native conversation intelligence platform that enables customers like Centerfield to find real-time trends across 18 million calls per year, improving sales and marketing campaigns and making it easier and faster to reduce churn and improve customer satisfaction.

Reported metrics
calls processed annually (Centerfield via Echo AI)18 million calls
Churn reductionreduce churn
Customer satisfaction improvementimprove customer satisfaction
Reported stack
AssemblyAIVoice AI
Source
https://www.assemblyai.com/customers/echoai-customer-story
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Powered by AssemblyAI's speech-to-text and speech understanding models, Echo AI built a Generative AI-native conversation intelligence platform that enables customers like Centerfield to find real-time trends across 1…

What tools did this team use?

AssemblyAI, Voice AI.

What results were reported?

calls processed annually (Centerfield via Echo AI): 18 million calls; Churn reduction: reduce churn; Customer satisfaction improvement: improve customer satisfaction (source-reported, not independently verified).

How is this call center ai AI workflow structured?

Customer conversation captured → AI speech-to-text transcription → Multi-model conversation analysis → Insights surfaced to end users → Strategy adjustment feedback loop.