Ringscope: Operations platform.
Built with React and Django over PostgreSQL for an operation running on spreadsheets and email. Core workflows and reporting share one validated model, and the people using it every day are not engineers.
Anonymised case study. Project names are aliases used to protect client confidentiality. The case study covers the project’s challenge, approach, technology and outcome.
The challenge.
- Day-to-day operations were run across spreadsheets, email and ageing tools.
- The client wanted core workflows and reporting behind one dashboard.
- Data had to stay consistent as more of the business moved in.
- The system had to bend to how the business actually works, not force new process on staff.
Our approach.
- Built the admin dashboard with React for the core workflows.
- Backed it with Django and Django REST Framework over one consistent data model.
- Modelled the domain so records are validated and reportable.
- Kept the interface usable for non-technical staff.
- Mapped the build to the team's real process before writing screens.
The outcome.
- The team runs core operations from one dashboard instead of scattered tools.
- Records stay consistent and reportable.
- Non-technical staff run it day to day.
- Staff adopted it because it matches how they already work.
Where AI fits in manufacturing & industrial.
Assistants that answer engineers' questions from manuals and maintenance history, visual quality checks, and procurement workflows that draft, compare and route supplier documents.
Explore AI developmentClient feedback on our work, separate from the anonymised project described above.
Our journey with them has been nothing short of exemplary, far exceeding our initial expectations.
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