Coenties

Close to the problem.
Committed to the build.

An FDE is a forward-deployed engineer: a builder who works directly with your team to understand the process, connect the systems, and deliver usable software.

Start with the work.

Observe the current process with the people who run it. Map inputs, handoffs, systems, exception paths, and the decisions that need human judgment.

A workflow map, documented baseline, and bounded pilot scope.

Make something people can use.

Connect approved sources and build a working interface around one complete workflow. Establish source references, permissions, review steps, and evaluation criteria with your team.

A functioning prototype and representative evaluation cases.

Introduce it deliberately.

Evaluate quality and failure modes, confirm ownership, and train users. Introduce the workflow in stages with a way to pause, review, or return to the existing process.

A staged rollout, operating documentation, and agreed acceptance criteria.

Let real use shape what comes next.

Review adoption, time per task, rework, and operating costs. Prioritize improvements using actual workflow evidence. Agree on support, maintenance, and handover responsibilities.

A measured outcome review and prioritized improvement backlog.

One workflow.
A clear definition of useful.

Start with a process that has repeatable inputs, identifiable owners, and a measurable bottleneck. Scope and timing depend on system access, data readiness, and the controls required.

What we agree before the build

  • The workflow owner and user group
  • Data sources, access, and deployment environment
  • Success measures and approval responsibilities
  • Source-code ownership, support, and handover

Discuss your
AI workflow requirements.

An introductory call to discuss your operational priorities, existing systems, and potential scope of engagement.

Discuss your requirements

Tell us about your firm and the topics you would like to discuss.

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