Mistral AI has announced the public preview of Workflows, a new orchestration layer designed to bring durability, observability, and fault tolerance to enterprise AI processes. This release targets enterprise teams that need to move AI-powered pipelines from prototypes to production environments with reliability and auditability. Early adopters, including companies like ASML, ABANCA, CMA-CGM, France Travail, La Banque Postale, and Moeve, are already deploying Workflows to automate essential business operations.
🆕 Today, we're releasing the public preview of Workflows, the orchestration layer for enterprise AI.
— Mistral AI (@MistralAI) April 28, 2026
🌎 Enterprise teams have capable models. What they don't have is a way to run them reliably in production. That's the gap Workflows fills. It takes AI-powered business processes… pic.twitter.com/ETMYDI9Isg
Workflows are available as part of Mistral AI’s Studio, allowing developers to write business process automations in Python and publish them for organization-wide access via Le Chat. Every step in a workflow is tracked and auditable, addressing common production challenges such as silent failures, long-running tasks, and human-in-the-loop requirements. Workflows leverage a deployment model where orchestration infrastructure is managed by Mistral AI, while data and application logic remain within the customer’s environment, supporting cloud, on-prem, and hybrid setups. The technical foundation is based on Temporal’s execution engine, with added features for AI workloads, including streaming, payload handling, and detailed observability.
Mistral AI, known for its enterprise AI solutions, built Workflows to close the gap between AI model capability and reliable production operation. By focusing on developer productivity and robust deployment, the company aims to simplify how enterprises operationalize AI at scale. The public preview and SDK v3.0 are now available, inviting broader adoption and feedback from the enterprise developer community.
