Automation
When work keeps returning for correction, a faster handover may only move the problem around. Nemely helps you understand how a process actually runs, remove unnecessary friction and decide where automation will make a meaningful difference.
Discovery and observation
People often create workarounds to get a job done. We speak with the teams involved and walk through real examples to find repeated checks, unclear ownership and missing information. The aim is a shared understanding of the process that people actually follow.
Explore Process Design
Microsoft Power Automate Process Mining
Power Automate Process Mining uses event data to help examine process paths, durations and rework. Microsoft’s process intelligence view combines these signals with a process map. We assess the quality of your event history and use relevant findings to test the assumptions from workshops.
Microsoft’s process intelligence example, with sample metrics and process paths. The screenshot carries a Preview label; these figures are demonstration data, not promised business outcomes.
Microsoft Learn · process intelligencePractical improvement
An improvement might remove a redundant check, clarify a decision or introduce a focused app. We prioritise changes with the process owner and agree how the result will be measured. Technology follows the redesigned process, with a pilot that lets the team learn before scaling.
How Nemely helps
We turn the assessment into decisions: what to simplify, what to automate and what needs better data before further investment.
Agree where the process starts and ends, who owns it and which customer or operational outcome needs to improve.
Review available event data alongside interviews and real cases. Separate data gaps from patterns that support a change.
Assign an improvement owner, establish a baseline and test the proposed routine before committing to a wider transformation.
FAQs
A useful event history links process instances to activities and timestamps. The exact fields depend on the analysis. We assess whether identifiers are consistent, events are complete and timestamps reflect the work you want to understand.
Yes. Interviews, observation and a sample of real cases can identify useful changes. We can also define the event capture needed for later analysis rather than treating missing data as a reason to postpone every improvement.
Process mining examines recorded events across a process. Task mining examines how tasks are performed at the desktop. The choice depends on the question you need to answer and the evidence available; neither replaces discussion with the people doing the work.
The number of teams, process variants and systems involved, access to participants and the condition of event data affect the scope. We agree the question to investigate and the evidence needed first. Implementing the resulting changes is planned separately from discovery.
Review the findings with the people doing the work and validate the causes of delays or rework. Prioritise a small set of changes, assign owners and agree how to compare results. Configuration, automation and training should follow the evidence rather than a target to automate every step.
Explore the Microsoft capabilities
Microsoft is moving Dynamics 365, Power Platform and Dataverse updates to the AI at Work roadmap from September 2026. We use the current feature status when planning your solution, and evaluate previews separately before proposing them for production.
Explore Microsoft’s roadmap approachCapabilities reviewed 8 September 2026. Licensing, configuration, language and regional availability vary by feature.
Your next step
Describe the process that keeps taking longer than it should. Stefan can help you explore what to examine first and how to turn the findings into action.
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Ideas to take with you
