Look for repetitive, predictable steps
A useful first automation often connects information between tools or routes a routine request. Map the current steps before choosing software. Include exceptions, delays and the people who need to approve a decision.
Make the goal specific
Define the outcome in plain language: fewer manual transfers, faster routing or more consistent records. Establish a baseline so the team has something meaningful to compare after the workflow changes.
Keep a person in the loop
Not every task should be fully automated. Customer-sensitive decisions and uncertain AI outputs may need review. Plan who receives exceptions and how someone can pause or correct a workflow.
Test a small version first
Use representative test data and check both the expected path and failure cases. Roll out gradually, document how it works and collect feedback from the people using it.
← Back to insights