Forward-deployed engineering is how enterprise AI learns

Forward-deployed engineering (FDE) embeds engineers on-site to translate a customer’s business rules, exceptions, and workflow logic into reusable AI capabilities, turning ad-hoc knowledge into product features such as semantic mappings and policy modules. When the engineer works within a sandboxed, general-purpose engine, the resulting components are fed back into the vendor’s platform, accelerating future deployments and reducing implementation time from months to days.