Privacy rules and poor accuracy capped AI use at 30%. A self-hosted model hit 90% precision, driving adoption to 100%.
A global system integrator with 350,000 employees across 40+ countries serves clients in highly regulated sectors like aerospace, defense, and the public sector.
Strict data sovereignty rules prevented the use of cloud-based AI, while initial open-source attempts stalled at 30% adoption due to poor accuracy....
“Leveraging Mistral’s Codestral has been a game changer in the adoption of private software engineering assistants for our client projects in regulated sectors. We have evolved from providing basic support for some development activities to delivering systematic value for our development teams.”
IT consulting and digital transformation services for global enterprises.
Mistral AI is a company that specializes in artificial intelligence and machine learning solutions.
Capgemini's Code generation is part of this use case:
Related implementations across industries and use cases
Consultants spent weeks interviewing staff to map undocumented mainframes. Now, they use Claude to analyze code and generate specs.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Consultants spent weeks interviewing staff to map undocumented mainframes. Now, they use Claude to analyze code and generate specs.
Boilerplate and unfamiliar code slowed 700 developers. AI now acts as a pair programmer, clearing bottlenecks and handling rote tasks.
Teams manually transcribed complex 300-page tax forms. Now, a specialist annotates one page and AI trains custom extraction models.
Isolated pilots couldn't overcome lawyer autonomy. A mandatory global rollout systematically redesigned core legal workflows with AI.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Privacy rules and poor accuracy capped AI use at 30%. A self-hosted model hit 90% precision, driving adoption to 100%.
A global system integrator with 350,000 employees across 40+ countries serves clients in highly regulated sectors like aerospace, defense, and the public sector.
Strict data sovereignty rules prevented the use of cloud-based AI, while initial open-source attempts stalled at 30% adoption due to poor accuracy....
“Leveraging Mistral’s Codestral has been a game changer in the adoption of private software engineering assistants for our client projects in regulated sectors. We have evolved from providing basic support for some development activities to delivering systematic value for our development teams.”
IT consulting and digital transformation services for global enterprises.
Mistral AI is a company that specializes in artificial intelligence and machine learning solutions.
Capgemini's Code generation is part of this use case:
Related implementations across industries and use cases
Consultants spent weeks interviewing staff to map undocumented mainframes. Now, they use Claude to analyze code and generate specs.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Consultants spent weeks interviewing staff to map undocumented mainframes. Now, they use Claude to analyze code and generate specs.
Boilerplate and unfamiliar code slowed 700 developers. AI now acts as a pair programmer, clearing bottlenecks and handling rote tasks.
Teams manually transcribed complex 300-page tax forms. Now, a specialist annotates one page and AI trains custom extraction models.
Isolated pilots couldn't overcome lawyer autonomy. A mandatory global rollout systematically redesigned core legal workflows with AI.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.