Forward Deployed Engineering
Engineers Who Take Your AI From Pilot To Production
Our FDEs embed with your team, build on Claude inside your environment and hand over a system you can run.
AWS Premier Tier Services Partner Claude Partner Network 200+ customers
Where FDEs Make The Difference
AI Agents
Agents that use yourtools and get multi-step work done.
Knowledge &RAG
Grounded answersfrom your documents,tickets and wikis.
Pilot To Production
Evals, guardrails andintegration for theprototype that nevershipped.
Regulated Sectors
Privacy andcompliance built infrom day one.
How It Works
Four phases, each with agreed deliverables and exit criteria.
01
Discovery
Map the real workflow
with your users.
02
Eval Design
Set the quality bar with
your experts.
03
Build & Iterate
Ship in short loops, tested
on every change.
04
Production &
Handover
Go live, train owners,
hand over.
Discovery
Map the real workflow
with your users.
Eval Design
Set the quality bar with
your experts.
Build & Iterate
Ship in short loops, tested
on every change.
Production &
Handover
Go live, train owners,
hand over.
How FDE Compares
FDEs ship working software and stay accountable for the result.
| Consulting | Solutions architecture |
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|---|---|---|---|---|---|
| Works inside your team | — | — |
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| Writes production code | — | — |
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| Owns the outcome | — | — |
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| Leaves your team able to run it | — | ✓ |
|
Four Steps
One System That Does Not Fight You
Our engagement follows AWS Migration Acceleration Program phases, extended with modernization sprints.
Enterprise
Context Foundation
Confluence, source repos, ADRs, target architecture, business rules and past decisions are connected through read-only connectors and integrations, MCP where it applies. Nothing is written back to your systems by default.
AI Agents Embedded
In The Pipeline
Define, Refine, Build, Review, Ship, Operate, Learn. AI agents fed with your company context are integrated at each phase, and each phase output becomes the next phase input.
A Compliance Layer
Audits Every Output
Each AI output is checked automatically against your written rules: ADRs, security policies, coding standards, deprecation lists. A violation is blocked and the rule reference is shown. The audit trail is created for you.
A Meta-Loop
Improves The System
Which rule was violated most, which output was rejected, where context was missing. Reported weekly to humans, humans decide, the system updates. This is AI informing humans, not AI fixing AI.
Why Kloia FDE
Code, Not Slides
themselves.
Evals First
guessed.
Safety By Design
from the start.
Your Stack, Your Cloud
your existing tools.
Outcome Focused
business goal.
Knowledge Stays
owners included.
FAQ
What is a Forward DeployedEngineer?
A senior engineer who works embedded with your team to build and deploy a production AI solution.
How long does an engagement last?
It depends on scope. Phases and exit criteria are agreed at the start.
Which models and platforms do youuse?
Our FDE practice is built around Claude, deployed on your existing cloud and tools.
What happens when the engagementends?
Your team owns the system. We hand over
documentation, procedures and trained owners.