Call center ai · Production

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

The problem

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.

First attempt

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.

Workflow diagram · grounded in source
1
Call submitted via API
trigger
“Calabrio using assigned API keys to call transcription endpoints directly within their workflow”
2
Batch or real-time routing
routing
“Dual transcription modes supporting both batch and real-time processing”
3
Speech-to-text transcription
ai_action
“core transcription services for accurate speech-to-text conversion”
4
Speaker diarization
ai_action
“speaker diarization for improved transcript clarity”
5
Compliance redaction
validation
“transcript redaction for GDPR and PCI compliance”
6
Transcript output for analytics
output
“Higher accuracy improved downstream analytics quality”
Reported 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.

Reported metrics
Response time improvement96%
Uptime improvement95%
Processing speed improvement75%
Error rate reduction18%
Show all 15 reported metrics
response time improvement96%
uptime improvement95%
processing speed improvement75%
error rate reduction18%
customer satisfaction improvement80%
revenue increase22%
time savings63%
user engagement increase88%
developer productivity improvement63%
time-to-market reduction6 weeks
resource allocation improvement10-15%
scalability improvement75%
migration timeline90 days
escalated customer cases at legacy vendor41
customers migrated to alternative providersmore than half
Reported stack
AssemblyAI
Source
https://www.assemblyai.com/customers/calabrio-customer-story
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

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 reduc…

What tools did this team use?

AssemblyAI.

What results were reported?

Response time improvement: 96%; Uptime improvement: 95%; Processing speed improvement: 75%; Error rate reduction: 18% (source-reported, not independently verified).

What failed first in this deployment?

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…

How is this call center ai AI workflow structured?

Call submitted via API → Batch or real-time routing → Speech-to-text transcription → Speaker diarization → Compliance redaction → Transcript output for analytics.