fdeploy — Applied AI engineering, deployed inside your operation
fdeploy
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The Applied AI Engineering capability every Enterprise deserves.

Forward Deployed Engineers, sent into the operation, on a platform built for the job.

02 — The engineer profile

Who we are looking for.

Not a list of requirements. A portrait of the engineer who does well here — read it and you will know within a minute whether this is your kind of work.

01Ships production code, not notebooks.
02Reads the domain before the model. Underwriting, claims, dispatch — you learn the trade.
03Writes the eval before the demo.
04Comfortable in the room where the number is owned.
05Leaves a team able to extend the system without you.
06Five-plus years shipping software. The AI part we can teach.
The terms Stated up front
Level
Senior / Staff
Base
$120,000 – $200,000 USD. Published range, no negotiation on level
Deployment
2–4 engineers, 6–14 weeks, on site two days a week
Travel
Named at offer, never a surprise
Locations
London · Amsterdam · New York

Engineers currently on deployment

Engineer name
Previously · company

Leads the claims adjudication deployment at a European insurer — 3,400 claims a quarter, inside a 14-day regulatory window.

Engineer name
Previously · company

Owns the evaluation layer in the Runtime, and the guardrail set every regulated deployment gates against.

Engineer name
Previously · company

Second deployment in dispatch operations, this time handing the on-call rotation to the client's own team in week nine.

03 — The corps

Small teams, unreasonable ownership.

A deployment is two to four Forward Deployed Engineers with a direct line to the people whose work changes. They write the code, run the evals, sit in the operations review, and stay until the system is boring.

Median to first release
6 weeks
Engineers deployed
31
Systems in production
11
Engineers per manager
9 : 1
04 — The Runtime

The platform our engineers deploy on — and hand over.

Every deployment runs on the same substrate: an agent surface your teams use, an evaluation layer that gates releases, and a trace of every decision the system made.

You will not be building the platform from scratch. It exists, and you will extend it.

Production · eu-west
DW
Which of last quarter's claims breached the 14-day settlement window, and why?

148 of 3,412 claims breached the window. Three causes account for 91% of them, all upstream of the adjudication model.

CauseClaimsDelay
Missing loss adjuster report719d
Manual fraud referral queue446d
Bank detail verification retry204d
Open the 148 in a table Show the trace for cause 1
Ask the Runtime… ⌘K
Release 2026.09.3 — gate Passing 4 / 5
Settlement window classification 0.97
Cause attribution, unseen brokers 0.84
Refusal on out-of-policy advice 0.61
Citation of source documents 0.93

A failing gate blocks the release. The engineer who wrote the eval is the engineer on call for it.

trace 9f3c·claims-adjudicate 4.28s · 11 spans · 6 tools
policy.resolve(claim_id)0.14s
documents.search("loss adjuster")1.02s
ledger.query(window > 14d)2.61s
guardrail.check(advice_scope)0.51s

Every answer the system gave is reproducible from its trace — the requirement that makes regulated deployments possible at all.

05 — Applied AI Masterclass

Two days with the engineers who did the deployments.

Taught by FDE leads from live deployments, not by a training company. Twenty-four seats, in person, and the curriculum changes as the work does.

Format
2 days
Seats per cohort
24
Taught by
FDE leads
Joined us after attending
4
MODULE 01

Evaluation before architecture

Write the test the business would accept, then choose a design that passes it. In that order, every time.

MODULE 02

Agent surfaces people will use

Why most internal agents are abandoned in week three, and the interface decisions that prevent it.

MODULE 03

Guardrails in regulated work

Refusal, scope, citation and audit trail — built as engineering constraints rather than prompt instructions.

MODULE 04

Handover and on-call

Getting a client team to own the pager, and what has to be true before you can leave.

Next cohorts
LondonNov 2026
AmsterdamFeb 2027

The masterclass is also how some of our engineers found us. Four of the corps joined after attending a cohort.

06 — Schedule an AI audit

Two weeks. One workflow. A straight answer.

Two engineers, two weeks, inside one workflow. You get a written assessment of whether an agent changes the number, what it would take, and what would have to be true first.

A one-page verdict: build, wait, or don't.
The evaluation set we would gate the release on.
A cost and timeline, or a reason not to.
Fixed fee$20,000
Where are you today?

We use this only to reply. Nothing is added to a mailing list.

07 — Insights

What we learned deploying it.

Practice · Jul 2026

What a Forward Deployed Engineer actually does

The role is not a consultant with a laptop. A week in the life of one of ours.

Engineering · Aug 2026

Traces before dashboards

A regulated deployment is reproducible or it is not a deployment. What we instrument first.

Field note · Sep 2026

The eval your operators write is the only one that holds

Why we stopped writing evaluation sets on behalf of the people who own the workflow.