Operating judgment
They should find the expensive workflow, not just the technically interesting one.
Hiring guide
The market will turn FDE into a title long before most teams can judge the work. Hiring well means testing for operating judgment, production engineering, adoption ownership, and the ability to say no when the workflow math is weak.
Selection criteria
Do not evaluate FDEs like pure consultants or pure software engineers. The role is strongest when the same team can diagnose the workflow, integrate the tools, measure quality, and own rollout with the operators.
They should find the expensive workflow, not just the technically interesting one.
They should be comfortable with APIs, permissions, data extraction, documents, CRM, email, and reporting surfaces.
They should define how the workflow will be tested before it touches customers, staff, or financial decisions.
They should care whether the team actually uses the deployment after launch.
Commercial shape
The first paid step should produce a workflow map, technical inspection, prototype or eval harness, ROI logic, and a go/no-go. If the math does not clear, buying a retainer is bad discipline.
A fixed-fee diagnostic forces both sides to prove the workflow is worth deploying.
Ship one workflow into production before trying to redesign the company.
Ongoing FDE work should compound a deployed system, not fund indefinite exploration.
The market pages explain who we serve. The office pages explain where delivery is anchored: Montreal for Canada, Barbados for the Caribbean.
FAQ
Start with one high-value workflow, ask the FDE team to inspect the current systems and data, require an evaluation plan, and buy a diagnostic before committing to a long retainer.
A full-time hire can make sense once you know the category of work will compound. An external FDE team is usually better for the first deployment because it proves scope, systems, and adoption before you build a permanent function.
It should include workflow mapping, systems and data inspection, a prototype or eval harness, ROI logic, risk review, and a go/no-go recommendation.
FDE diagnostic
We inspect the work, systems, data, risk, and economics before selling a deployment.