Pipeline schematic
AI Engineer
Builds the tech: pipelines, evaluation, the production system. Knows what is genuinely possible this quarter, and what merely demos well.
01 · The gap is never the AI
Missing: one Forward Deployed Engineer.
An FDE is the engineer who turns an AI model into business value.
The pilot never became revenue. It's not the team, it's not the model. It's that nobody owned the road to production.
What a model needs before it books revenue
Model qualityNot the blocker
Pieces in place3 of 4
Value realised$0
02 · The evidence
This is measured, not anecdotal.
>80%
of AI projects fail — twice the failure rate of non-AI IT projects.
46%
of AI proof-of-concepts are scrapped before they reach production.
14%
of CEOs clearly define the P&L impact for all their AI initiatives.
The eighty-six in a hundred that define it for only some of their AI, or none.
Over the same window, the models got dramatically better. So whatever kills these projects, it is not model quality.
03 · Why it happens
The demo isn't the hard part. Production is.
A demo
The feature works
True once. One laptop. Five minutes.
Production
The feature works
Dirty data
Legacy systems
Permissions and IAM
Security review
Uptime and on-call
True every day. All of it, at once.
The gap is the FDE.
More than five things break between a demo and production. In most companies, nobody’s job description contains any of them.
04 · The role
The gap has a job title now.
An FDE is the engineer who turns an AI model into business value.
Value against target
Business Developer
Owns the value: which problem is worth solving, which metric moves, and what that is worth in money. Kills the projects that were never going to pay.
Delivery plan
Product Manager
Owns delivery: what ships in thirty days, what gets cut, and who is actually using it on Monday morning.
All three, wired together
Forward Deployed Engineer
One person holding all three at once. That is the whole definition, and it is why the role is scarce: each discipline is common on its own, and almost nobody carries the three into the same room.
05 · Two ways in
How we can help.
For enterprises whose AI is stuck between pilot and production
We ship it with you.
A forward deployed engineer inside your environment, accountable for a production outcome on your stack.
For leaders training a team, and engineers wanting to become an FDE
We train your people to ship it.
Your engineers can be taught this — it is a craft, not a talent. The same work, taught hands-on, by the person who does it.
06 · Where to start
Find what's keeping your AI from making money.
Get your AI readiness score in two minutes. A straight diagnosis of what is actually blocking you, and the one next step that matches it.