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Which business processes should you automate first?
A practical way to choose your first workflow automation: score processes on volume, rules, error cost and ownership, then start where the payoff is clear.
List the work people repeat every week
Ask each team which tasks they do the same way again and again: copying data between systems, sending status updates, chasing approvals, building the same report. Write down how often each one happens and roughly how long it takes. This list, not a tool demo, is where an automation roadmap should start.
Score each process on four things
For every candidate, note the volume, how clearly the rules can be written down, what an error costs, and whether there is an obvious owner. High-volume work with clear rules and a named owner is the best first candidate. Rare, judgment-heavy tasks with no owner are usually the worst, however painful they feel.
Check the systems before you promise anything
A process is only as automatable as the systems it touches. Find out whether each tool has an API, export or webhook, who controls access, and whether the data is clean enough to act on. Many first projects stall on credentials and data quality rather than on the automation itself.
Design for exceptions from day one
Every real process has cases the rules do not cover: a missing field, a duplicate record, a customer who replied to the wrong email. Decide where those exceptions go, who reviews them and how quickly. An automation that silently drops the odd case is worse than the manual process it replaced.
Measure the before and after
Record how long the process takes and how often it goes wrong before you automate it. After launch, track the same numbers along with how many items still need a person. That evidence makes it easy to decide what to automate next and gives the team confidence that the change is working.
