A useful first automation has clear rules, repeated work and an output someone can verify. Include exceptions, maintenance and review time when deciding whether the project is worth doing.
Pick a job you can describe clearly
“Handle our operations” is too broad to assess. “Collect these fields from the approved sources and prepare a draft for review” is easier to evaluate. Narrowing the task makes the expected output, permissions and failure conditions clearer.
Count the work that will remain
Suppose a task takes ten minutes and runs thirty times a month. That is five hours. If an automated version still needs four minutes of review each time, review takes two hours. The potential release is three hours, before maintenance and exceptions.
Illustrative time calculation. It is not a promised saving or a measured result.
A task with frequent unusual cases may need substantial review. A smaller automation can still be useful, but its value should be judged against implementation and ongoing operating effort.
Use a short readiness check
You should be able to explain the workflow to another person before asking software to carry it out.
- What starts the task, and what inputs are required?
- Which rules remain stable between runs?
- What does a correct output look like?
- Which exceptions should stop the process for review?
- Who owns checks, access and maintenance?
Test on a limited workflow before expanding
A straightforward rule or integration may be enough. AI can be relevant when interpretation is needed, but that also makes evaluation important. Start with a small, representative set of cases, assess the output and record the exceptions. Expand after the workflow is useful under the agreed conditions.
A useful first step with BI Forge.
BI Forge can help review a workflow and decide whether an integration, a custom tool or an AI agent is appropriate. A first project can be a bounded pilot with agreed checks and a person responsible for exceptions.
Discuss one repetitive workflow