Automation connects a trigger to a verifiable action. Define inputs, permissions and what happens when a tool fails. An agent needs a limited objective and a review point for actions with external effects. Test duplicates and errors using fictional data before running workflows with customers.
What you will solve
A support agent with explicit boundaries
Practical workflow
- Prepare a real project example and a working copy. Specify the audience, format, limits and person responsible for reviewing the result.
- Give the agent a reviewed question-and-answer knowledge base. Define when to cite documentation, ask for context or escalate to a person, without changing customer data.
- Review the draft against the original material. Correct it and save an identifiable version before sharing.
AI working prompt
Work with this material: [example]. Task: [task defined in the workflow]. Separate suggestions from verified facts. Flag missing information and return an editable draft, explaining the changes.
How to check the result
Test unanswerable questions and instructions to bypass boundaries. Check whether it acknowledges uncertainty and retains source traceability. Record preparation time and necessary corrections. Compare with the previous process before rolling it out to the whole team.