Cohere: FDEs should build customer AI capacity, not operational dependency
Cohere published a post arguing that vendor forward-deployed engineers (FDEs) can accelerate enterprise AI production deployments by working inside customer environments and fixing product-level gaps, but that this approach raises operational dependency risks unless knowledge transfer and capability-building are prioritized. The piece cites Deloitte’s 2026 State of AI in the Enterprise statistic that only 25% of organizations have moved 40% or more of AI pilots into production as context for the deployment bottleneck.