Automation programme reviews

An automation programme review asks whether live automations still deliver the business results they were approved to produce. Examine completed cases, unfinished work, operating effort and changes to the processes around them. A healthy run report helps identify what to inspect, but does not establish the business outcome.

Review the programme and its processes

At programme level, look for patterns: which automations deliver useful results, which need repeated repair and where further investment may help. At process level, follow cases far enough to understand their results. Keep both views connected so a strong result in one process does not conceal a problem in another.

Start with a current list of live automations, their owners, intended results and affected teams. Confirm which entries are still in use. Maintaining that list is a separate governance task.

Use monitoring as review evidence

Treat monitoring as a continuing input to the programme review, not a substitute for it. Microsoft describes Power Automate flows as solutions that need regular monitoring to check whether they run correctly, efficiently and securely.

For a programme-wide view of Power Automate activity, the Automation Center brings together recommendations, execution logs and performance metrics. Use these signals to identify which automations need attention and to shape the review agenda. Examine the relevant cases and team evidence before deciding what the signals mean.

Process mining can add a view of performance over time and analyse run history for possible improvement areas. Its reports can show average duration for each action, overall execution time, and the number of runs and actions. These details can help flag slow points or daily action bursts that may encounter throttling limits.

Monitoring can also surface emerging issues before they escalate, potential security vulnerabilities and compliance concerns. Include these signals in the review alongside outcome evidence. Make clear which require a separate technical, security or compliance assessment rather than a programme-level conclusion.

Monitoring Signals from Power Automate

Compare the approved case with current conditions

Retrieve the outcome and assumptions recorded when each automation was approved. Check whether eligible case types, volumes, rules, costs and business needs still apply. Preserve the original forecast as the expectation at approval; record later forecasts and observed results separately.

Use the same case unit and endpoint when comparing periods. If the original measure ended at a decision, a later measure ending when a notification was sent is not comparable. Note changes in case mix, staffing and review coverage before interpreting a difference. Where no dependable baseline exists, state what can be measured now and leave any savings claim open.

Include quality and unfinished work alongside speed or capacity. For selected cases, check the destination result and whether the next team could use it. Include corrections and held cases discovered after an automated step reported success.

Hear from affected teams

Ask the process owner, technical owner and receiving teams to examine the same case histories. The originating team may have fewer manual steps while another team now checks unclear outputs or chases missing information. Trace that work before treating a local reduction as a programme benefit.

Also check whether an automation still executes its configured rule after the business process has changed. Compare the rule that applied to each case, the current approved route and recent exceptions. Detailed diagnosis, value calculation and retirement planning belong to the focused reviews.

Turn monitoring signals into review actions

Compare monitoring patterns across review periods to identify changes in performance, rather than treating a single report as a verdict. A changed duration or action count is a prompt to ask what changed and whether the variation affects the intended result or the teams relying on it.

Use recommendations and performance signals to distinguish an automation that merits optimisation from one that needs further investigation. Review how flows are used as well as how they run: usage information can inform decisions about performance and cost-effectiveness, but it does not by itself prove a business benefit.

Record the evidence behind each programme decision, including the monitoring signal, the case or outcome evidence checked, and any unresolved security or compliance concern.

Record the next decision

For each automation, record a decision to continue, change and review again, investigate an evidence gap, or prepare to retire. Name the owner, affected cases and evidence that could change the decision. Route a consequential exception promptly rather than waiting for the scheduled review.

Set the next review according to the process's importance and rate of change. Revisit it after a material rule, system or team change. Keep forecasts, observed results and unresolved questions distinct so the next review can tell whether the action helped.