Key points
- Choose one repeatable task with a result you can inspect.
- Check that the necessary information is accessible and permitted.
- Measure quality and review effort alongside speed.
Look for work with a clear finish line
A promising first workflow is specific. Preparing a cited briefing from approved documents is easier to scope than transforming an entire department. Write down what starts the work, what information is available, and what a successful result looks like.
Map the current process
Understand how people do the work today before adding an agent. Identify the tools, decisions, exceptions, and handoffs involved. Sometimes a conventional software integration is the right answer for predictable steps, while agent reasoning is useful for the parts that require interpretation.
Keep the first pilot reversible
Start with read-only access and draft outputs where possible. Have a person review the result before it changes another system. This lets a team learn about quality and failure modes without giving the agent broad authority at the beginning.
Evaluate the whole workflow
Measure whether the workflow helps, including the time people spend checking the output and handling exceptions. A fast draft is only useful if its quality and review cost fit the task. Use what you learn to decide whether to improve the pilot, expand it, or choose another problem.
Questions to answer before a pilot
- What starts the task, and who decides that it is complete?
- Which sources and tools are available, and who owns access to them?
- Which decisions can follow fixed rules, and which need interpretation?
- What happens when a source is missing, a tool fails, or the result is wrong?
- How will you compare the result and total review effort with the current process?
Sources and further reading
These primary sources provide background on agent design and AI risk management. The workflow examples and checklists above are TRAVRENZO’s editorial guidance.