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The gap between test automation and test operations

Test requests must be prioritized. Test benches, prototypes, measurement equipment, and qualified engineers must be scheduled. Approvals need to be obtained, resource dependencies considered, and unexpected changes managed.

In many organizations, these activities still depend on spreadsheets, emails, and disconnected applications. The consequences are familiar: avoidable scheduling conflicts, underutilized equipment, high coordination effort, and delays that can affect development projects.

Simply investing in additional testing equipment or automating individual test benches further does not solve this problem. The opportunity is to improve how the entire testing operation works together.

From fragmented coordination to connected test operations. Concept illustration.

The industry is moving toward intelligent laboratory operations

A recent initiative by Siemens, Accenture, and BASF illustrates this broader shift. In their Lab of the Future initiative, the companies explore how robotics, artificial intelligence, digital twins, and industrial orchestration can transform laboratory operations.

The underlying principle is compelling: automating isolated activities is no longer enough. The next step is connecting them into intelligent, adaptive processes that can be coordinated and optimized as a whole.

Although the initiative primarily concerns autonomous laboratory environments, the same principle applies to industrial testing. Automotive, aerospace, battery, and other engineering test facilities face increasing complexity, growing demand for testing capacity, and pressure to shorten development cycles while controlling costs.

For these organizations, the question is no longer only “How can we automate another test?” It is increasingly “How can we coordinate the entire test operation more effectively?”

Test Lab Orchestration: the missing management layer

Traditional test automation focuses on executing individual tests. Test Lab Orchestration focuses on coordinating the activities, resources, decisions, and workflows behind them.

A connected management environment can help engineering organizations:

• ✔ Coordinate testing activities across departments and locations, including resource dependencies and priorities.
• ✔ Improve resource utilization by identifying available capacity and preventing scheduling conflicts.
• ✔ Automate operational workflows such as approvals, status changes, and notifications.
• ✔ Increase planning reliability through transparent schedules, responsibilities, and execution status.
• ✔ Use operational data to identify bottlenecks, track KPIs, and support continuous improvement.

The business benefit goes beyond a better scheduling calendar. Connected operations can help increase test throughput, improve the timely delivery of results, reduce administrative effort, and make better use of existing infrastructure.

The evolution from test bench automation to orchestrated and increasingly intelligent operations. Concept illustration; AI-enabled functions represent a development direction.

PeakTMS: the operational backbone of the Intelligent Test Lab

With the Peak Test Management Suite (PeakTMS), Peak Solution provides a software platform developed to manage and coordinate complex industrial test operations.

PeakTMS connects test requests, activities, resources, schedules, workflows, and operational information within a configurable, web-based management environment. Integrated resource planning, availability checks, workflow automation, and reporting support more transparent and reliable processes.

Importantly, organizations can continue using their existing measurement, automation, and engineering applications. Via standardized interfaces, PeakTMS adds the coordination layer across these specialized systems rather than requiring their replacement.

This approach protects existing investments while creating a scalable foundation for connected test operations.

Preparing for AI-supported test operations

Once test requests, resources, dependencies, and operational rules are digitally structured, engineering organizations can explore more advanced decision support. Intelligent planning methods can help evaluate alternative schedules, identify bottlenecks, and support responses to changing priorities.

In the longer term, AI agents could extend these capabilities by monitoring operational conditions, recommending adjustments, and assisting teams with selected coordination tasks. These potential applications should be distinguished from the management capabilities already available today.

• “Before test operations can become autonomous, they must first become connected, transparent, and digitally manageable.”

The future of testing is intelligent orchestration

The first wave of test laboratory digitalization focused on automating individual systems. The next wave will connect these systems, orchestrate their activities, and improve operational decisions through structured information and intelligent technologies.

For engineering organizations, that creates an opportunity to increase productivity, improve schedule reliability, and gain more value from capital-intensive testing infrastructure.

The Intelligent Test Lab is not defined by how many automated test benches it operates. It is defined by how intelligently the entire testing operation is managed.

At Peak Solution, we describe this development as The Intelligent Test Lab – From Manual Coordination to Intelligent Test Operations.

• Make your testing operations intelligent

  Build the foundation for your Intelligent
  Test Lab.

  See how PeakTMS connects test requests, resources, schedules, and workflows — while complementing your existing engineering tools.