Capgemini has announced a strategic partnership with SAP and Mistral AI to launch more than 50 generative AI use cases tailored to industries where regulatory compliance, data privacy, and operational safety are non-negotiable. The initiative is aimed at accelerating responsible AI adoption across sectors such as finance, aerospace, energy, and government services.
Purpose-built AI solutions for secure, high-stakes environments
The collaboration leverages SAP’s Business Technology Platform as the secure deployment layer, while Mistral AI contributes advanced multilingual generative models. Capgemini integrates these capabilities to deliver AI-driven workflows that are designed for scale, regulatory alignment, and real-world applicability.
The solutions span a broad range of applications—from predictive drone maintenance in the energy sector and augmented field operations in aerospace, to smart procurement tools that cut across industries. Every use case is built on a foundation of responsible AI practices, ensuring that compliance and security remain embedded throughout.
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This partnership not only enables faster deployment of generative AI within SAP environments but also makes it accessible to organisations with stringent data governance and privacy requirements.
Driving AI transformation across industries
Capgemini has positioned the offering as a catalyst for enterprise-wide transformation, particularly in sectors where operational resilience and compliance are paramount. The company believes that generative AI is now moving from experimentation to implementation—and this initiative reflects its strategy to embed AI into the fabric of mission-critical processes.
Mistral AI’s contribution extends beyond just language models. The company recently launched a high-speed Document AI platform capable of processing up to 2,000 pages per minute on a single GPU. With over 99% OCR accuracy across 11 languages, it supports complex paperwork workflows such as handwritten forms, low-resolution scans, and documents with mixed layouts—delivering outputs in structured JSON formats via custom templates.
This release follows Mistral AI’s broader efforts in open source innovation, including the launch of Devstral for code tasks and the multimodal Mistral Small 3.1 model.
Together, the three companies are aiming to redefine how generative AI is deployed in controlled and regulated environments—bridging operational agility with compliance-driven design.
