FORWARD DEPLOYED ENGINEER
A senior engineer who builds and ships AI inside your environment.
One real AI workflow in production — integrated with your systems — in 4–8 weeks.
No pitch. No sales theater. You leave with clarity.
Your AI initiative is stuck. A pilot ran, a deck was delivered, and nothing is wired into your real systems. Hiring a forward-deployed engineer full-time is slow and expensive.
FACTA embeds a senior Forward Deployed Engineer with your team — and takes responsibility for building, deploying, and handing off real AI software in your environment.
What you get (fast)
Production in your environment
A real system deployed where your users actually work — not a demo.
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Embedded senior owner
A named engineer inside your team, accountable end-to-end.
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Integrated with your real data
Wired into the systems and data the workflow actually needs.
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Handoff to your team
Your engineers operate it. Your company keeps the IP.
Learn moreThe real problem
The gap isn’t the model. It’s integration — and ownership.
FACTA closes that gap — by deploying.
Most AI initiatives die in:
What a Forward Deployed Engineer at FACTA actually means
This is a senior engineer embedded with your team, building and deploying real AI software inside your operational environment — with direct accountability for delivery.
FACTA takes end-to-end ownership of:
You get deployed software. Not recommendations.
You work with a named, senior engineer — accountable — not a rotating consulting team.
What you get
Outcomes that actually run in your environment.
Deployment, integration, and handoff — packaged as one accountable engagement.
1. Deployment
Learn moreProduction AI deployed where your users work
Owned by a named, accountable engineer
Shipping to real users — not a demo
2. Integration
Learn moreConnected to your real data and systems
Multi-agent systems (CrewAI, Agno, LangGraph)
RAG / GraphRAG over your documents
n8n workflows wired into your stack
Everything a full-time forward-deployed engineer delivers. Without a 6-month search.
How it works
A simple process. No surprises.
Three phases: discovery, a first production deploy, then embedded engineering and handoff.
Week 1 — Discovery
Learn moreStarts with a free AI Execution Review (30 min)
Requirements analysis with your team
Environment and data access mapped
A clear signal on whether a production win exists
Weeks 2–4 — First deploy
One AI workflow built in your stack
Integrated with your real data
Deployed into your environment
90-day delivery roadmap
If we don’t see a real production win in the first month, we’ll tell you.
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Pricing
Embedded Engineer — where most companies start
$10k–$15k / month
20–30 hours of senior engineering
Stage-aware pricing with lighter options for early-stage teams.
A typical starting point for teams with real systems ready to integrate.
Includes:
AI Execution Review
Who this is for
The right fit — when AI is stuck in pilot.
If you have real systems, real data, and a workflow that needs an owner who ships, this engagement is designed for you.
Why FACTA
We deploy. We don’t deck.
If you want PowerPoints, there are many options. If you want AI running in your environment, integrated with your systems, this is one.
Results
Proof you can bring to the board.
Clear outcomes and measurable impact — grounded in deployed software.
“They built it, wired it to our data, and shipped it. Our team now runs it.”
— VP Engineering
AI Execution Review 30 minutes. Free. No selling.
A clear yes / no on whether a deployed AI win exists for you — in 30 minutes.
YOU’LL LEAVE WITH
- •One AI workflow worth deploying
- •A realistic integration & delivery timeline
- •A clear recommendation: build now or don’t
If there’s no real value, we’ll explicitly recommend doing nothing.
If AI keeps coming up in your board meetings
and you still have nothing running in production —
this is the moment.
FACTA
From pilot to production.
We deploy. We don’t deck.