ProcessMind Values
Made With Care
Our values shape how we work.
ProcessMind’s values guide how we make decisions and work with customers and partners. Imagination means looking for practical new ways to solve problems. Transparency means being clear about what we know and what we do not. Support means listening and helping people make progress. We bring enthusiasm and a bias for action to that work, while keeping sustainability in view.
The values behind our work
IMAGINATIVE
Make room for better ideas
We use technology to explore new ways to solve process challenges. We look for ideas that help people understand how work gets done, rather than adding complexity for its own sake.
TRANSPARENT
Be clear, even when the answer is difficult
We explain what our platform can do and where its limits are. We publish how the platform is run (security measures, service levels, sub-processors and release notes), and we do not present a model or analysis as a complete picture when the available information does not support that conclusion.
SUPPORTIVE
Help people move forward
We build software to help people understand and improve their processes. We listen to the questions customers bring, focus our support on the right tools for the work at hand, and answer sales and general enquiries within one business day (Mon–Fri, CET).
ENTHUSIASTIC
Stay curious about what’s possible
We bring energy to exploring new ideas and turning useful ones into practical improvements. Enthusiasm does not replace evidence: we look for solutions that address a real need.
PRAGMATIC
Make progress in useful steps
We favor progress over waiting for a perfect answer, in steps that are useful on their own. Being pragmatic does not mean skipping the work of understanding a problem or being clear about trade-offs.
Trust
Security, compliance and transparency
Business Sustainability
Business Sustainability at ProcessMind
Learn how ProcessMind approaches sustainability and how process data can help you measure waste, energy use and CO₂ per case.
Business sustainability covers both the practices we follow as a company and the measures you can derive from process data. We start with our own practices, then explain how ProcessMind can help you investigate waste, energy use and CO₂ per case.
What business sustainability practices does ProcessMind follow?
We work remotely, reducing the need for routine travel. When travel is necessary, we aim to limit it and use electric vehicles powered by our solar panels where possible. We use video calls to stay connected with customers.
Our operations are paperless unless regulations require paper. We use green energy for heating and other household needs, and solar panels at our homes.
How does ProcessMind approach energy use and suppliers?
We optimize our software to use less energy through smarter data processing, and run our cloud operations on energy-efficient ARM64 compute.
We also consider sustainability when choosing suppliers across our operations, even for everyday items such as coffee. These are specific business sustainability practices, not a claim that our operations are net zero.
What can you measure with process data?
ProcessMind helps you analyze how work gets done. With suitable data, you can identify process steps associated with waste, material use, energy consumption or emissions. You can then investigate whether process changes could reduce resource use.
Process analysis shows how work flows, but it does not measure environmental impact or reduce emissions on its own. To assess the impact of a change, combine process measures with relevant operational and emissions data.
Read how process intelligence supports sustainability for examples of how process analysis can inform sustainability work. You can also explore how process mining supports data-driven improvement.
How can you make CO₂ per case traceable?
To calculate CO₂ per case, connect case-level process data with relevant emissions data. Depending on your dataset, you might link emissions to process steps, materials or energy use.
The result depends on the quality and coverage of your source data and the assumptions behind your emissions factors. Document these inputs so you can explain the calculation and compare cases consistently. This traceability can support your business sustainability goals, but ProcessMind does not independently verify emissions or certify ESG claims.
Configure CO₂ fields in a dataset to learn how to set up dataset fields. For more on the data needed for process analysis, see the process mining data guide.
How can process analysis support waste reduction?
Process flow analysis can show where work is repeated, delayed or handled in unnecessary steps. You can investigate whether those patterns also involve excess material, energy or other resources.
Process data helps you find opportunities, but it does not establish environmental impact on its own. To assess a change, combine process measures with relevant operational and emissions data. This gives you a clearer basis for evaluating business sustainability benefits without overstating what the data shows.
What can ProcessMind contribute to sustainability reporting?
ProcessMind can help you connect process activity to measures you track, such as CO₂ per case. This can make it easier to trace a calculation back to process data and its assumptions.
The accuracy of any reported figure depends on your data, definitions and calculation method. ProcessMind does not independently verify emissions or certify ESG claims. Your business sustainability management approach should document how you define each measure and which data supports it.
How do you start measuring environmental impact?
Choose one process and one measure you can support with data. For example, define how you will calculate CO₂ per case, identify the process and emissions fields you need, and document the assumptions behind the calculation.
Make one sustainability claim auditable
Use your own process data to explore a traceable CO₂-per-case measure. The result depends on the data and emissions factors you provide.
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