Parsec Automation Innovation & Technology Culture

“With our Connected Worker solution, manufacturers can get up and running quickly with meaningful workflows, while knowing they already have the foundation to expand into broader MES capabilities without disruption.”

What’s your rule for fast, safe releases — and what KPI proves it works?

Humans in the loop and good code review. We can generate a lot of code very quickly these days, having a process for reviewing PRs and directing the energy into the right PRs. Another underrated aspect for us is the team dynamic. We have a close-knit development and quality team that maintains very frequent interactions. Knowing that your actions in review — good or bad — have a real effect on your colleagues is a huge underlying motivation for collective responsibility and diligence. Our KPIs are customer satisfaction and low occurrences of critical issues.

Which standard or metric defines “quality” in your stack?

The most important “standard” or aspect of our quality process is risk assessment. Like most enterprise software, our platform is large and contains a lot of code. We of course track and strive to improve metrics like code coverage and number of unit tests and automated test cases, but simply having “coverage” does not mean that the tests are good. We rely on a process that asks experienced developers/managers to assess the level of testing for each feature or defect fix. This allows us to direct the bulk of the QA energy to the places that really need it, rather than chasing metrics that might look good but hide underlying problems.

Name one recent AI/automation shipped and its impact on the team or business.

We recently shipped TrakSYS IQ Assistant, an AI user interface that allows users to interactively explore the complex data captured in our manufacturing execution system platform. Our implementation is clever in that it does not require large amounts of sensitive manufacturing data to be shipped out-of-network, and it allows a new class of users self-service access to information that was previously difficult to access. This solves several challenges in MES scenarios, increasing the speed to find answers and exposing the complex and useful data we capture to a larger audience.