Production AI in Weeks, Not Quarters.
While most organizations experiment with AI, few turn pilots into tangible financial results. Built for enterprises ready to move past endless proofs-of-concept, the AllCloud AWS Forward Deployed Engineering (FDE) offering embeds specialized pods directly into your AWS environment, staying fully accountable to your business outcomes until your system is running live in production.
The FDE Pod Model & Approach
The AllCloud AWS FDE approach replaces traditional consulting models with a cross-functional engineering pod that sits next to your internal teams. Every FDE pod is built around three core roles, with specialists pulled in as needed.
FDE Lead
Owns engagement scope, business outcomes, evaluations, and team handoff.
FDE Architect
Guides vendor-neutral target architecture, security posture, and release readiness.
AI Engineer
Hands-on integrations, model pipelines, and evaluation benchmarks.
Specialists (On-Demand)
Brought in for targeted business application integration or cloud data platform engineering.
Core Capability Areas
Our FDE engagements are built on three foundational pillars designed to deploy and scale generative AI safely and rapidly.
Agentic Transformation
We redesign how work gets done. Instead of bolting AI onto broken workflows, our FDE pods work inside your environment to build AI agents into your core systems and data.
AI-Driven Development Lifecycle (AI-DLC)
We deliver cloud-native architecture and CI/CD through AllCloud’s AI-DLC framework, adapted from AWS’s open-source AI-DLC Workflows.
Harness Engineering
To ensure you aren’t left with unmaintainable code, we deploy AI Fusion, a reusable foundational harness deployed directly in your AWS account that you own entirely after the engagement.
The Four-Stage AI Delivery Lifecycle
Every engagement is outcome-driven, tailored to your starting point, and designed to leave your team fully self-sufficient.
We learn your business, mapping your operational workflows, data landscape, and tech stack to deliver a written AI Opportunity & Action Plan.
We convert raw discovery into a ranked use case list, giving you a Solution Approach document ready for an investment committee.
We build working Proof of Concepts in your actual AWS environment using your real data to demonstrate core value.
We elevate the proven architecture to production standard with full CI/CD, governance, and monitoring.
From Slide Decks to Software: How Forward Deployed Engineering Ships Production AI in Weeks
Enterprises don’t need another roadmap, they need working software. Find out how an embedded AllCloud FDE pod acted as the connective tissue between back-end AWS data lakes and front-line Salesforce applications for a major industrial manufacturer, deploying autonomous AI agents into production in just 6 weeks.
Ready to for Production AI?
Accelerate your deployment with an embedded engineering pod.