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FORWARD DEPLOYED ENGINEERING (FDE)

The person who builds it comes to your floor.

Forward deployed engineering, FDE for short, is the way OpenAI and Palantir put AI to work for their largest customers: the person who builds it works inside the business. It is how we have always worked. The person who builds your system sits with the people who will use it, builds it inside the tools you already own, and stays to run it.

Book a pilot call

Free · 20 minutes · no commitment

Where the name comes from.

The large AI companies coined it for engineers they send out to customers, to sit inside a business until the software does real work there. The point of the name is the direction of travel: the builder goes to the operation, instead of the operation writing a specification and waiting for software to come back.

For an owner-run business the idea matters even more. Nobody on your team has time to write a specification, and the parts of the day that cost the most are the ones nobody would think to put in one.

What it looks like in your business.

It is the same steps as our How we work page, described by what the person who builds it actually does at each one.

  • On the pilot call, the builder asks how the day runs: the order desk, the quote, the paperwork.
  • In the Operations Diagnostic, the builder sits with every process owner during the hours the work comes apart, and writes down what actually happens.
  • In the build, we connect to the systems you already run, with access you grant and can revoke.
  • Running it, the same person watches what was built, so a failure is caught by us and not by your customer.

Twenty minutes, no deck. The person who builds it asks how your day runs.

Book a pilot call

Why it works where projects usually stall.

Most AI projects die as a pilot nobody adopts. The usual reason is distance: the system was designed around how the work was described, not how it is done, and the gap shows up the first busy Monday.

Working inside the operation closes that gap before anything is built. The system carries the procedure your best person already follows, in the words your team already uses, and the team is trained on their own work.

What you can hold us to.

  • One number agreed before the work starts, and reported against your own baseline.
  • Everything built in your own accounts. It keeps working if we stop.
  • Access scoped to what the work needs, and yours to revoke at any time.
  • No unmonitored automation. If we build it, we watch it.
  • A person one rule away from every customer conversation.

How it differs from the alternatives.

A software vendor sells you a product and a login, and your team adapts to it. A traditional consultancy leaves a report and a roadmap, and somebody still has to build it. A freelancer builds what was specified, and leaves before the system meets a real week.

Forward deployed engineering sits across all three: the strategy starts in the Diagnostic, the build happens in your tools, and the person who built it is the one who runs it.

FORWARD DEPLOYED ENGINEERING

What is forward deployed engineering (FDE)?

Forward deployed engineering, FDE for short, is a way of delivering AI where the person who builds the system works inside the customer's business instead of from a distance: they sit with the people who do the job, build inside the tools the business already runs, and stay to run what was built. OpenAI and Palantir use it for their largest customers. MexaBuild does the same for operators in Ontario.

What does a forward deployed engineer do, day to day?

Watches the job as it is really done, agrees one number from the business's own records, connects read-only to the systems it already runs, builds one workflow at a time, tests it on real work before it goes live, and then runs it.

Does the person who builds it have to be on site?

Not always. Much of the work happens in your systems with access you grant. Being at the desk matters most during the Diagnostic, when the job is to see the day as it actually runs, and we come in person where that is practical in Ontario.

Is this only for large companies?

No. The large AI companies use it for enterprise customers, but the method suits an owner-run business better, because a small team has no one free to write the specification a remote build would need.

Do we have to hire anyone technical?

No. The builder brings the technical side and your team keeps doing its own work. What we ask for is an hour with the people who do the job, and a decision-maker for the questions only the business can answer.

What happens when you leave?

Everything stays in your accounts, documented, and keeps working. The running agreement has sixty days' notice, and nothing stops because we are gone.

Bring us one bad week.

Book a pilot call. Tell us where the week goes wrong, and we’ll tell you what an Operations Diagnostic would map and measure.

The first paid step has a clear scope and an end date, and the pilot after it is one workflow — not a platform, and not an open-ended retainer.

Free · 20 minutes · no commitment