AI Delivery
Why enterprise AI delivery needs embedded engineering capability
Technology selection is only the beginning: data, workflow, field feedback, and organizational alignment determine delivery.
FDE.AI Editorial
Forward Deployed Engineer Community
Bring technical capability to where value is actually made.
FDE.AI is for enterprise AI delivery, complex systems work, and the next generation of engineers. We study how technology, business, and execution become one practice.
FDE
Forward Deployed Engineer
Field context × Technical depth × Relentless delivery
03
core dimensions
01
delivery loop
What is FDE?
FDEs do more than write software. They enter the business context, define problems amid uncertainty, build systems, and move outcomes forward.
Read the field
Start with real workflows, data, and constraints.
Shape the system
Turn an ambiguous problem into an executable plan.
Move outcomes
Deliver with customers and iterate in the work.
Where FDEs create leverage
From one hard problem to a system people actually use.
01
Enterprise AI delivery
Bring model capability into real workflows with measurable, operable systems.
02
Data platform
Align data quality, business definitions, and use cases in one delivery loop.
03
Field deployment
Work on site to connect legacy systems, operational constraints, and new capability.
04
Operations automation
Turn high-frequency, cross-system operational work into reliable collaborative flows.
Case library
Featured cases
Anonymous
A traceable incident copilot for frontline engineers
Equipment knowledge was scattered across tickets, manuals, and tacit expertise.
RAGData PlatformEdge
Example
Turning sales operations into an actionable agent workflow
Sales data and customer context were fragmented across operational tools.
LLMCRMWorkflow
Real case
A unified risk-signal workspace for compliance teams
Multiple rule systems and review queues lacked a shared operational view.
StreamingRulesAudit
Agents
From demo to production: four real constraints on agent workflows
Permissions, observability, failure recovery, and human collaboration need design before prompt polish.
FDE.AI Editorial
Data Platform
How data platform projects move from delivery to durable operations
Put business metrics, data quality, and iteration cadence into one operating system.
FDE.AI Editorial
Resources
Start with a field guide
Get the foundational framework, capability map, and enterprise practice material for FDE.
Get resources01
FDE Starter Guide
A practical introduction to the role, methods, and career path of FDEs.
02
Enterprise FDE Whitepaper
A field framework from operating model design to delivery.
03
FDE Case Collection
Cross-industry AI, data, and systems delivery examples.
04
FDE Capability Map
A three-dimensional map of technical, business, and delivery skills.
Community
Have a delivery story worth sharing?
Create an account to submit your FDE case, article, or discussion topic. Published after review.