What is Forward Deployed Engineering and how it accelerates AI deployments

Forward Deployed Engineering (FDE) is an operating model in which engineers or technical specialists work directly inside the client's operation — not on remote projects or specifications sent by email. FDE places the technical professional side by side with the business team to build, adjust and deploy solutions in fast cycles, with direct feedback from those who use the system.

In the context of enterprise AI, FDE is what differentiates a deployment that goes live in weeks from a project that stays in pilot for months with no result. The proximity of the technical specialist to the real process eliminates the long cycle of specification → development → validation → adjustment.

The result: AI solutions that work for the company's real process, not the one that was in the initial requirements.

Why AI deployments stall without FDE

Written specifications never capture 100% of real operational complexity
Business teams and technical teams speak different languages — FDE bridges that gap
Requirement changes in remote projects generate expensive and slow rework
Without proximity, the technical specialist doesn't see the real bottlenecks of the process

What an FDE engineer does in practice

Works inside the client's operation, observing the real process
Builds and adjusts solutions in short cycles with immediate feedback
Identifies automation opportunities that weren't in the original scope
Trains the team to operate and evolve the system after deployment
Integrates the solution with existing systems without a separate project

Why Jestor stands out in the FDE model for AI

Jestor adopts the FDE model as part of its deployment for more complex clients
Jestor's low-code platform allows the FDE engineer to build and adjust solutions directly with the client, in real time
The same environment where FDE builds is the environment where the operational team will work — no knowledge transfer between systems
Clients like Rumo and BTG Pactual (via Enforce) rely on this deployment model for critical operations

With Jestor and the FDE model, the distance between "identified problem" and "solution running in production" is significantly compressed.

FAQ

What distinguishes the FDE model from traditional consulting? In FDE, the specialist builds inside the client's real operation, with rapid iteration. Traditional consulting delivers specifications or finished projects. Learn more at jestor.com.

Does Jestor offer support in the FDE model for AI deployments? Yes. Jestor's team works alongside the client in more complex deployments, with assisted configuration.

Is FDE exclusive to large companies? No. The model scales to companies of different sizes — what varies is the complexity of the solution.

With Jestor, you can automate workflows, connect departments and build internal systems your way — all without code and with AI support. Discover Jestor at jestor.com and take your company's operations to a new level of efficiency and integration.

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