Seven questions to answer before you automate a workflow

Market interest is not your business case

Eurostat reported that 20.0% of EU businesses with at least ten employees used AI in 2025. In Finland, the figure was 37.8%. Analysing written language was the most common use. This helps explain the interest in email, document and knowledge work.

These figures do not tell you whether your own task will save time or work well. For that, you need a starting measurement and tests based on your workflow.

Question 1: Who owns the work?

Name the person responsible for the process. Agree on what starts the work, how it should end and who handles unusual cases. If two teams follow different rules today, automation will not solve that disagreement for them.

Question 2: Do you have useful examples?

Collect examples of normal, incomplete, duplicate, restricted and failed cases. Made-up examples are useful for designing a demo. The decision to use the workflow for real work must be based on examples approved by the customer.

Question 3: How will you know it works?

Choose the measurements before building. For a RAG tool, finding the right document and writing a supported answer are two different tests. For incoming requests, reading the fields correctly and sending the request to the right next step are also different tests.

Question 4: What may happen automatically?

List every action the workflow could take in another system. Decide which actions are blocked, previewed, approved by a person or allowed automatically. Start with actions that are low risk and easy to undo. This service is not intended for automatic legal, medical, hiring or credit decisions.

Question 5: What happens when something goes wrong?

Plan for missing data, weak search results, possible duplicates, access problems, timeouts and updates that only partly succeed. A workflow is not ready for a pilot if the team can only explain the happy path.

Question 6: Where does the data go?

Write down what enters the workflow, where it is stored, which service providers receive it, how long logs remain and who can open each source. NIST provides a useful list of AI risks, but the exact safeguards still depend on the customer's tools, contracts and security needs.

Question 7: Who watches it and how do you stop it?

Decide who watches for errors, retries failed steps and checks that other systems were updated correctly. Agree on when to pause the workflow and how the team will continue the work by hand. The owner should be able to explain both how to start it and how to stop it.

When to move ahead

Move ahead when the task is clear, the examples are useful, the measurements are agreed, important actions are controlled, failures have an owner and the data plan is acceptable. If one answer is still unknown, solve that question before building more screens.