How I work
An FDE owns the path from messy workflow to trusted production system.
Forward deployed means I run the whole loop inside your business — not a slide deck, a system carrying real operational responsibility. Most AI fails because it is built before the problem is understood. I run it the opposite way.
↻ The loop runs again
Decide what should be automated — and what should not.
Deterministic software
When the rules and inputs are predictable.
An agent
When the objective is clear but the inputs, path, or required actions vary.
A human in control
When the decision carries material ambiguity, accountability, or irreversible consequences.
Then prioritize the lengthy, high-volume workflows where the improvement is large enough to matter.
The 30-day plan
One build. Every week adds capability to the same system rather than starting over.
Week 1 · Days 1–7
Audit the workflow and stand up the first agent.
By Day 7, you know which steps become deterministic software, which become agents, and which stay with a person — and a first version runs.
Week 2 · Days 8–14
Turn the demo into a system that can recover.
By Day 14, the agent produces predictable outputs and resumes after failure.
Week 3 · Days 15–21
Make the system measurable and economically viable.
By Day 21, you know how it fails, what it costs, and whether it is improving.
Week 4 · Days 22–30
Deploy it inside the business.
By Day 30, it runs in production — integrated with real data and permissions, with human review and rollback.
Deployment: make it work inside the business.
Deployment is where software begins carrying operational responsibility.
Integrate with what already exists
Build over your current data and systems rather than starting a large replacement project.
Test inside a controlled environment
Use a sandbox within your own infrastructure to run, inspect, and debug safely.
Increase autonomy gradually
Begin with the smallest useful action and grant more authority only after the system proves reliable.