call_center_ai · saas · workflow

Calabrio boosts customer satisfaction by 80% and accelerates global expansion with AssemblyAI

Calabrio's legacy transcription provider had not released updates since 2020, causing deteriorating accuracy, 41 highly escalated customer cases, and the forced migration of more than half their customers to alternative providers—threatening market position and blocking international expansion.

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 · Call submitted via API
Calabrio calls AssemblyAI transcription endpoints directly within their workflow using assigned API keys.
Tools used
AssemblyAI
Outcome

After migrating to AssemblyAI in 90 days, Calabrio achieved an 80% customer satisfaction improvement, 22% revenue increase, 63% time savings, 96% faster response times, 95% uptime improvement, and 18% error rate reduction—reversing customer churn and enabling global expansion.

What failed first

Their previous transcription vendor relied on vocabulary substitution workarounds rather than genuine model improvements, creating fundamental architectural limitations that caused deteriorating accuracy and left the analytics platform unable to deliver quality insights.

Results
Time saved96%
Volume95%
Cost replaced22%
Source

https://www.assemblyai.com/customers/calabrio-customer-story

How we source this →

Grounding & classification
Source type: vendor customer story
38 fields verified against source quotes.
speech to textcall recordingfailure mode describedmetric backednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedsoftwareaccuracy improvementcustomer satisfactioncycle time reductionemployee productivityerror reductionrevenue increasethroughput increasetime savedvendor customer storycall center aicompliance monitoringquality assurancedocument to record