THE PLATFORM FOR YOUR TEAM
Your team.
More engineering capacity.
Run AI-assisted software delivery through one platform, with your team in control of the work and approvals.
One ticket.
Connected delivery.
EXPLORE THE DELIVERY PROCESS
One ticket.
A reviewed solution.
Follow an illustrative ticket from agreed scope through implementation and tests to engineer review.
A WORKED DELIVERY EXAMPLE
From a category bug
to a reviewable change.
Illustrative scenario based on the workflow above. This is not a customer case study or evidence of measured delivery results.
Keep Slots and Live Casino categories separate.
A shared filter groups games too broadly. The agreed change is to keep each category’s results separate without changing the rest of the browsing journey.
01 / Define what “done” means
Slots shows only Slots titles. Live Casino stays in its own category. Switching between categories preserves the intended results. Agree these criteria before implementation.
02 / Give the implementation context
Review the category filter, the callers that use it and the relevant tests. Confirm the repository conventions and identify the smallest change that meets the agreed scope.
03 / Prepare a change and regression tests
The illustrative workbench proposes filtering by the intended category rather than a general casino flag. Tests should cover both categories and category switching. The example does not establish that these tests have run in a customer environment.
04 / Put evidence in front of a reviewer
Present the proposed code, test changes, actual test output and any unresolved questions. A reviewer assesses scope, correctness and regressions before approval through the agreed release process.
The output to assess: a scoped change, regression coverage and review evidence. Your team retains release control.
Discuss a ticket from your backlogWhat is Fusion Standard?
Fusion Standard is the AI software engineering SaaS platform operated by your engineering team. It connects repository analysis, ticket assignment, implementation, review and validation within your existing delivery process.
From scoped ticket to proposed change
Connect your tickets, repositories and AI agents. Assign scoped work to developers or AI agents, prepare code changes and regression tests, and assess the proposed result against agreed acceptance criteria before release.
Use your own AI provider accounts
Standard uses your own AI provider accounts and credentials. The terms and data-use policies of those accounts apply. Confirm the models, processing locations and access arrangements required by your organisation before connecting systems.
Your team runs the platform
Your team operates Fusion Standard and controls approvals. JadeX engineering services are arranged separately, so any engineering oversight or development support should be defined in a separate engagement.
When Standard fits
Standard suits teams that want to operate an AI-assisted engineering platform themselves and manage their own delivery process. If you want JadeX to manage the AI squad and engineering oversight, explore Fusion Autonomous.
Agree the setup before delivery
Start with the repositories, tickets and workflows you want to connect. Agree permissions, credential management, security requirements and the initial work scope before delivery begins.
Find the right Fusion for your team.
Tell us about your backlog, workflow and engineering priorities.
Talk to JadeXCHOOSING YOUR APPROACH
Explore all engineering guidesTools, platform or managed service?How human review worksRepository readiness checklist