Successful runs
How many cases reach the expected outcome without manual intervention?
Existing system
Is Power Automate no longer working as it should?
I identify where a flow stops, what it depends on and what needs to change. The goal is a working process your team can understand and maintain after handover.
Find the cause before defining the repair.
A flow may appear healthy while some cases fail, a notification never arrives or the outcome depends on the account of someone who has left. I start with the actual run history and available diagnostic evidence.
What I review
- Triggers, run history, conditions, exceptions and retries.
- Connections, accounts, permissions, data sources and dependencies.
- The expected outcome, edge cases and failure detection.
What you receive
Prioritised findings, an agreed repair or rebuild scope, tests of important scenarios and concise change documentation. If a safe fix needs broader access, a licence or a process change, I flag it before work begins.
Assessing the result
Improvement should be visible in the process.
We choose measures that fit the issue and compare them with the baseline. I do not promise a percentage improvement before diagnosis.
Response time
How quickly does the owner learn about a failure and act?
Maintainability
Can the team see dependencies and test the flow safely?
My own example
Request Intake system
In my own request-handling solution I combined an app with flows, deadline control and error handling. It shows how I design processes for failure detection and continued maintenance.
See the working solutions →First step
Describe what fails and what should happen instead.
From a short description I can assess whether a focused fix is likely or a bounded audit is needed. We agree on scope and price before work begins.
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