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04 / Engineering Workflows & Automation
Connect testing, data and decisions
Improve test software, instrument integration and data handling, with maintainability built into the approach.
ADI supports improvements to engineering workflows, from test-rack software and instrument integration to data processing and reporting. The approach starts with the engineers’ needs and the demands of the equipment.
How we can support you
- Workflow review
- Map the current process, identify repeated manual work and clarify requirements before selecting a new tool or committing to a rewrite.
- Test software & integration
- Support the development of test-rack software and instrument interfaces, taking account of compatibility, reliability and the operating environment.
- Python tools & automation
- Develop or scope practical tools for repeatable tasks, data processing and reporting, with clear inputs, outputs and checks.
- Data handling & traceability
- Improve the organisation of test data and the connection between measurements, processing steps and reported results.
- Maintainable transitions
- Plan staged improvements that engineers can use and maintain, while considering the risks of changing established tools and processes.
Automation does not need to involve AI. Tool selection should follow the task, with reliability, maintainability and the needs of the team guiding the decision.
Typical outputs
- Workflow and interface map
- Tool requirements
- Defined software delivery
- Checks, documentation and handover
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