System/Integrations/Integration
Mistral
LLM & protocol
Mistral provides EU-hosted model infrastructure for teams that need reasoning to run under data residency requirements. Revenue Labs can run its own reasoning through Mistral, so a rep working under those requirements still gets an answer grounded in live deal state.
Website
From source record to operating state
01 | The tool on its own
A chat surface for questions, files, and work tasks.
↓
02 | With AI bolted on
Vibe runs work from the selected context.
↓
03 | A system that learns
Live state reaches Mistral.
The tool alone > AI bolted on > AI-native
What changes when the system works through Mistral
Three jobs Mistral already does, and what each becomes when alerts, briefs and approvals arrive from a system that learns.
01 | The tool on its own
02 | With AI bolted on
03 | AI-native
Chat and work surface
A chat surface for questions, files, and work tasks.
Mistral gives teams a conversational workbench for research, files, and tasks. People still choose the context and review the answer before acting.
Vibe runs work from the selected context.
Vibe keeps the task in its surface and apps. The CRM and calls do not receive the context as a shared deal record.
Live state reaches Mistral.
Mistral receives resolved company, contact, and deal context before the next question is answered.
Projects and libraries
Projects keep chats, files, and instructions together.
Mistral Projects and Libraries give recurring work a shared context. Project owners still curate the files and decide which instructions remain current.
Projects apply their saved context.
Project output follows saved context. The output is not compared with a closed deal or written into another tool's state.
Next answers carry the outcome.
The system records what was asked, approved, and acted on, then supplies that learning to the next Mistral run.
Agents and tools
Agents combine a model with tools for a defined task.
Mistral agents can use configured tools for research and work. An administrator still sets the scope, permissions, and approval boundary.
Agents follow configured instructions.
Configured agents act within their configured tools and context. Their output is not compared with the commercial outcome afterwards, so the next run receives no outcome signal.
Mistral context improves with outcomes.
Wins, losses, and stalls update the approved context available to the next agent run, while Mistral remains the execution surface.
Runs on it
Capabilities that act on connected evidence
BUILT FOR SECURITY, CONTROL AND SCALE
Connect data securely, capture every agent's activity, and enforce permissions with ease.
Learn about our security →CERTIFIED + COMPLIANT WITH:
ISO 27001:2022
GDPR
CCPA
Data Protection Act 2018
The GTM teams that learn fastest will win.
Connect your stack to a system that learns.