Choose a manageable task for your first automation

A repeated task is a candidate for examination, not an automatic instruction to automate it. The best first project is often smaller than the process that frustrates the team most. Start where you understand the rules and can observe the outcome without creating an external commitment.

Describe the manual step

Choose one action and write its trigger, input and expected result. An illustrative example is creating an internal reminder when an approved document reaches a particular folder. This is narrower than automating the entire customer relationship.

Watch the step being performed and ask about exceptions. If different people use different rules, resolve that difference before building a workflow. Product planning guidance from Microsoft starts with the business problem and its processes; buying a tool does not substitute for this understanding.

Assess the consequences of a mistake

Separate internal preparation from actions such as sending a customer message, changing a payment or publishing content. A first trial can prepare an item for review while leaving consequential decisions with an authorised person.

Check which information the workflow would access and who is allowed to see the output. A convenient automated summary should not reveal restricted material to a wider group. Use fictional or appropriately controlled test data during initial evaluation.

Make the result observable

Define how you will know that the expected item was created once and in the correct place. Include examples with missing information and an input arriving twice. A workflow that succeeds only when everything is ideal is not yet understood well enough for routine reliance.

Name the person who receives a failure notice and can pause the workflow. Keep a simple way to perform the task manually if needed. Do not make the first test dependent on removing the current working process.

Compare the whole effort

After a bounded trial, consider setup, checking, exceptions and maintenance alongside the manual work avoided. A task performed infrequently may not justify a complicated automation, even if the demonstration looks impressive.

Document what the workflow does and what it does not do. If the result is useful, expand deliberately from that stable starting point. If it creates more uncertainty than it removes, simplify the task or leave it manual rather than treating automation itself as the achievement.

Sources: Microsoft Learn: Use plans to create AI-powered business solutions.