METHODOLOGY · FDE

Forward Deployed Engineering

Forward Deployed Engineering — we embed engineers in your operations instead of emailing a spec to an outsourcer. It's why we can ship production systems in weeks.

Six principles

01

On-site, not at arm's length

FDE engineers sit in your ops meetings, look at your real data, and use your internal tools. Requirements aren't interviewed out of you — they're seen on the ground.

02

Score the use case, then build

Every candidate use case is scored and ranked on impact, feasibility and risk. We only build what people will actually use once it's in production.

03

Verifiable every week

No months-long black box. We ship a working version every week, so you course-correct the moment something's off and sunk cost stays minimal.

04

Evaluation is infrastructure

Launch isn't the finish line. Every system leaves our hands with eval benchmarks and monitoring — quality you can manage by the numbers.

05

Traceable and auditable

Answers cite sources, processes leave a trail, and models have model cards. AI in regulated industries has to be legible to audit and regulators.

06

Leave the capability with your team

Delivery is training. When the project ends, your team can operate it, iterate on it — and scope the next use case themselves.

From one meeting to a production system

PHASE 0 · 1 meeting

Use-case workshop

From zero to a shippable use case: audit processes and data, score and rank, define success metrics and ROI. You leave the room knowing what the first use case is, what it's worth, and how many weeks to launch.

PHASE 1 · 2–6 weeks

Embedded FDE build

Engineers embed in your environment and ship a working version each week. Data pipelines, eval benchmarks and the interface advance together, with stakeholders seeing progress every week.

PHASE 2 · from week 6

Launch and scale

Phased ramp, monitoring and governance in place, with the validated pattern replicated to more processes and departments. The PoC no longer stalls in the lab.

On the ground

Requirements are seen in the room, not interviewed out of you

FDE engineers sit in your ops meetings, look at real data, and use internal tools. What we find on the ground often differs from what the spec says — and that's the problem worth solving.

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Requirements are seen in the room, not interviewed out of you

Coding together

Your team sits right beside us

Delivery is training. Your engineers pair with the FDE team, so when the project ends the ability to operate and iterate stays with your team instead of leaving with the consultants.

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Your team sits right beside us

Watching the numbers grow

Weekly delivery briefs your leadership can read

Throughput, catch rate, hours saved — live metrics for every workflow on one board. Stakeholders don't wait for a quarterly report to know whether the AI is working.

See the delivery workspace
Weekly delivery briefs your leadership can read

A new era of
AI-native products

Ship your first AI use case in weeks, not quarters.