Self-hosted Customer Call Analysis → CRM Updates → Support Tickets
Process customer support calls privately using self-hosted transcription, analyze sentiment and issues, then automatically update CRM records and create support tickets.
Workflow Steps
Cohere Voice Model
Transcribe calls on-premises
Set up Cohere's 2B parameter voice model on your own GPU infrastructure to transcribe customer calls without sending sensitive data to external services. Configure automatic processing of uploaded call recordings.
OpenAI GPT-4
Analyze conversation content
Send transcripts to GPT-4 to extract key information: customer sentiment, main issues discussed, resolution status, product mentions, and any follow-up actions required. Structure the output as JSON for easy processing.
HubSpot CRM
Update contact records automatically
Use HubSpot's API to find the customer contact and update their record with call summary, sentiment score, issues raised, and next steps. Add tags for issue categories and set follow-up reminders.
Linear
Create support tickets for unresolved issues
For calls with unresolved technical issues or feature requests, automatically create tickets in Linear with relevant context, priority level based on customer tier, and assignment to appropriate team members.
Workflow Flow
Step 1
Cohere Voice Model
Transcribe calls on-premises
Step 2
OpenAI GPT-4
Analyze conversation content
Step 3
HubSpot CRM
Update contact records automatically
Step 4
Linear
Create support tickets for unresolved issues
Why This Works
Leverages the privacy benefits of self-hosted transcription while maintaining the power of AI analysis, creating a secure end-to-end pipeline that improves customer service without data exposure.
Best For
Companies handling sensitive customer data who need call analysis without compromising privacy
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