According to Deloitte’s 2026 report, only 25% of companies are able to put more than 40% of their AI pilot projects into production. Insufficient deployment capabilities become a major obstacle for companies in adopting sovereign AI. To address issues such as lack of expertise, low technical proficiency, and limited engineering capacity during internal implementation, Cohere has introduced FDEs services provided by model suppliers. This model aims to help companies bridge the complex gap from experimental verification to real-world enterprise implementation with external expert support. Compared to building their own teams or outsourcing to consulting firms, using the FDEs model offers specific advantages, effectively improving the success rate of AI projects in production environments.
According to Deloitte’s 2026 report, only 25% of companies have put over 40% of their AI pilot projects into production. Deployment has become the main bottleneck for companies adopting sovereign AI. Cohere proposes that FDEs from model suppliers provide external support to address the lack of expertise, technical proficiency, and engineering capacity required for internal implementation. The article points out that using the FDE model has specific advantages over self-building or outsourcing to consulting firms, aiming to help companies bridge the complex gap from experimental validation to real-world enterprise implementation.