Start with one decision people already make
Choose a specific decision before choosing an automation platform. Consider a purchasing team investigating a mismatch between an invoice and its order. What starts the review? Which records does someone open, and who decides what happens next? Write down the trigger, the expected output and the condition that closes the task. Preparing a report and issuing a payment have very different consequences. Mark where the workflow only provides information and where it would change a business system. Assign a process owner who can judge the recommendation, alongside the technical owner responsible for the connection. That distinction keeps responsibility clear as the workflow grows.
Build a reviewable recommendation
Bring back enough context for someone to check the result: the invoice and order identifiers, currency, period, source links and the version or retrieval time of the evidence. Then separate facts from interpretation. An order total is a retrieved fact; an explanation for the difference may be a hypothesis. Display that distinction instead of blending both into a confident paragraph. When a record is missing, say what could not be checked. The reviewer should be able to open the evidence without repeating the entire investigation. A useful recommendation also states the question it answers and the matters it has left outside its scope.
Make approval specific to the proposed action
An approval screen needs more than a Continue button. Show the record to be changed, its current and proposed values, the reason and the likely effect. Attach the decision to that particular proposal. If the underlying record changes before execution, ask for a fresh review rather than applying an old approval to a new situation. OWASP recommends human approval for high-impact AI actions and authorization checks outside the model's own judgement. The person approving still needs the relevant business permission. A rejection, a request for clarification or an expired review should each have a defined outcome; An unanswered request must not silently become consent.
Keep execution narrow and confirm the result
Give the execution connection only the access needed for the approved task. A reporting workflow should not gain unrelated editing powers simply because the connector offers them. Record the outgoing request separately from the response. Sending a request is not proof that the business change happened; the target record may need to be checked. A timeout creates a particularly awkward question: did the request fail, or did its response get lost? Resolve that before retrying. For operations such as creating an order or sending a notification, agree how repeat requests are recognised so that a retry does not produce an unintended second action.
Design the recovery path alongside the happy path
Unavailable sources, changed permissions and absent reviewers are normal operating conditions. Decide where the workflow stops, who is notified and what must be true before it resumes. Completed steps must remain visible, while unfinished work must not appear successful. Where a change can be reversed, document the method and who may use it. Where it cannot, define the corrective action instead of promising a universal Undo button. A recovery view can show the last confirmed step beside the work still outstanding. Give the operator an actionable explanation and a traceable operation identifier, rather than requiring them to interpret a raw technical error.
Prove the workflow before widening its scope
Review missing documents, currency mismatches, changed amounts, rejected approvals and interrupted connections with the process owner, as well as a successful example. Agree what an acceptable outcome looks like before running each case. An initial release can prepare recommendations while people carry out the actions themselves; granting execution rights is a separate decision informed by observed behaviour. NIST's AI Risk Management Framework is useful for organising that assessment in context, rather than treating an impressive demonstration as sufficient evidence. These are implementation recommendations, not a feature declaration for any particular product. Check the chosen product's actual support for each control in its working environment.
