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Automate with Mistral AI

Mistral delivers frontier model quality at efficient scale. NVS deploys it where you need reliable multilingual processing, structured JSON outputs, and cost-effective inference across high-volume workflows.

Use Cases

01

Multilingual Document Extraction Pipeline

Documents arriving in French, German, Spanish, or Italian are automatically parsed by Mistral, key fields extracted, and the structured data delivered to your CRM or database — no manual handling required.

Trigger
File Uploaded
google-drive.trigger
Document uploaded to the "Inbound Docs" folder in Google Drive fires the pipeline.
Extract Text
http.request
PDF or DOCX content extracted to plain text via document parsing API.
Extract with Mistral
mistral.chat
Mistral Large extracts structured fields in any language, returning clean JSON output.
Output
Insert to CRM
hubspot.crm
Extracted contact and company data mapped to HubSpot fields and record created.
02

High-Volume Email Classification at Low Cost

Mistral's efficient models classify thousands of inbound emails per day — categorizing by intent, priority, and department — at a fraction of the cost of larger models, without sacrificing accuracy.

Trigger
New Email
gmail.trigger
Email arrives in the shared team inbox and fires the classification workflow.
Classify with Mistral
mistral.chat
Mistral 7B classifies category (sales/support/billing/other) and urgency in one call.
Switch
Route by Category
nvs.switch
Email routed to the appropriate team inbox or ticket system based on classification.
sales
Output
Create HubSpot Contact
hubspot.crm
Sales inquiry converted to a HubSpot contact and deal with Slack notification.
support
Output
Create Zendesk Ticket
zendesk.ticket
Support email converted to a Zendesk ticket with priority set from urgency score.
03

Structured JSON Output for Database Seeding

Unstructured content — product descriptions, user bios, or raw notes — is transformed by Mistral into validated JSON conforming to your database schema, ready to insert without any manual formatting.

Trigger
Sheet Row Added
google-sheets.trigger
New row with unstructured content added to the import queue sheet.
Structure with Mistral
mistral.chat
Mistral converts raw text to valid JSON matching the target database schema exactly.
Validate Schema
code.javascript
JSON validated with Zod schema — invalid records flagged for review, valid ones proceed.
Output
Insert to Supabase
supabase.insert
Valid records bulk-inserted into Supabase. Invalid records logged to error sheet.

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