call_center_ai · saas · workflow
Echo AI integrates AssemblyAI Voice AI to power generative AI conversation intelligence at scale
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.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Customer conversation captured
All customer conversations serve as the raw input to the platform.
Tools used
AssemblyAIVoice AI
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.
Results
Volume18 million calls
Grounding & classification
Source type: vendor customer story
25 fields verified against source quotes.
data extractionsentiment analysisspeech to textsummarizationvoice aicall recordingchat transcriptmetric backednamed customerproduction runtime claimedtools describedworkflow describedsoftwarecustomer satisfactionthroughput increasetime savedvendor customer storycall center aicustomer supportsales opsextract classify route