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THE MANAGED ENGINEERING SERVICE

An AI squad.
Managed by JadeX.

Add specialist AI engineering capacity to your backlog, with JadeX review, oversight and escalation within your agreed service scope.

AI processor and connected engineering circuits
AI EXECUTION + HUMAN OVERSIGHT

Specialist roles.
Shared engineering context.

EXPLORE YOUR AI SQUAD

Six specialist roles.
One AI squad.

Technical leadership, implementation, testing and review — coordinated through Fusion.

Work moving between agentsRework returning to implementationAssigning work
Full squad view
ONE COORDINATED ENGINEERING SQUAD JADEX ORCHESTRATIONAssign work · share context · route feedback AI AGENT 01Technical Lead AgentPlanning, architecture andtechnical coordination.AI AGENT 02Front-End EngineerInterfaces + user journeysAI AGENT 03Back-End EngineerServices + business logicAI AGENT 04Integration EngineerAPIs + system connectionsAI AGENT 05QA & Test Automation AgentFunctional checks and regression coverage.AI AGENT 06Code Quality & Review AgentStandards, maintainability and review preparation.REWORKCODE CHANGES + TESTS SHARED ENGINEERING TOOLSRepositories, workspaces, tests and evidence. CLIENT-OWNED ENGINEERING MEMORYValidated knowledge. Fully owned and exportable. JADEX-MANAGED SELF HOSTED AI INFRASTRUCTUREModel execution and compute shared across roles · around-the-clock execution capacity JADEX ENGINEER REVIEW & APPROVAL
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Technical Lead

Planning, architecture and technical coordination.

Select an agent to explore

ILLUSTRATIVE ENGINEERING ROLE CONFIGURATION · ROLE MIX AGREED FOR YOUR SERVICE

Role mix and shared compute are defined within your agreed service scope.

01

What is Fusion Autonomous?

Fusion Autonomous is a managed AI software engineering service. JadeX manages the specialist AI squad and supervises delivery while your team sets priorities and retains release control.

02

Six specialist engineering roles

The illustrative squad spans technical leadership, front-end engineering, back-end engineering, integration, QA and test automation, and code quality and review. Role mix, workload, concurrency and review capacity are agreed for your service.

03

A controlled delivery workflow

Agree scope and acceptance criteria, prepare implementation and tests, and route proposed changes through JadeX engineer review. Engineers request rework or approve changes for your agreed release process. Production access and release permissions are agreed before delivery begins.

04

JadeX-managed AI infrastructure

Autonomous uses JadeX-managed, self-hosted AI infrastructure for model execution and shared compute. Processing locations, model choices and data flows are agreed during onboarding and your security review. Around-the-clock execution applies to agreed tasks within the service scope.

05

Engineering Memory belongs to you

Approved delivery adds validated architecture, standards, decisions and lessons to customer-specific Engineering Memory. This asset is fully owned by you and exportable throughout and beyond the engagement.

06

Work alongside your existing team

Autonomous can support your current delivery squads through the same backlog and governance. A hybrid delivery model combines human-led engineering and Autonomous. If your team prefers to run the platform itself, explore Fusion Standard.

07

Start with a defined scope

Agree repository coverage, integrations, access, security requirements and operating responsibilities before work begins. Visit the FAQ for more on confidentiality, ownership and release control.

Find the right Fusion for your team.

Tell us about your backlog, workflow and engineering priorities.

Talk to JadeX

CHOOSING YOUR APPROACH

Explore all engineering guidesTools, platform or managed service?How human review worksRepository readiness checklist

The AI engineering squad

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The same animated squad. Zoom in for details and scroll to explore.