1. Map the workflow in plain language.
Begin with the event that starts the work: an incoming email, an uploaded document or a changed record. Then list each action in order. Mark which actions read information, which change information and which send something outside the organisation. This distinction matters because a mistaken summary is easier to correct than a message already sent to a customer.
Use AI where interpretation is needed, such as extracting a request from varied wording. Use deterministic software, which follows fixed rules, for required fields, calculations and permission checks. A language model should not be responsible for deciding whether its own output meets a business rule that ordinary code can enforce.
2. Choose the integration approach.
Microsoft Power Automate is a workflow platform organised around triggers, actions and connectors. It can be a suitable starting point when work already depends on Microsoft services. Examine connector permissions, licensing terms and the account under which a flow runs rather than assuming that access follows the person who initiated it.
n8n uses connected workflow nodes and offers routes for hosted and self-managed operation. Self-management brings responsibility for updates, credentials, backups and monitoring. Custom API integration provides more control over application behaviour, but it also needs engineering, deployment and maintenance. Compare these approaches against your systems and support capacity, not the appearance of their editors.
3. Give the model a bounded job.
Specify the information the model receives and the shape of the result. For an extraction task, define fields such as request type, requested date and source passage. A schema is a formal description of that structure. Validate the returned structure in code and distinguish a missing value from a value the model inferred without evidence.
Structured output can make integration easier; it does not make the contents true. If an extracted date controls a deadline, compare it with the source and apply the organisation's date rules. Keep the original material available to the reviewer without copying it into every log or notification.
4. Restrict credentials and actions.
Use a service account with only the permissions required for the workflow. Keep secrets in an appropriate credential store rather than placing them inside prompts or shared documents. Separate read access from write access where the connected system permits it. Restrict destination addresses and record types in application code.
Prompt injection occurs when untrusted content attempts to redirect a model's behaviour. An email that instructs the assistant to export records remains untrusted input, even if it sounds authoritative. Instructions in a prompt are not a security boundary. The surrounding software must prevent access or actions that the workflow does not permit.
5. Plan exceptions and approvals.
Create a route for incomplete inputs, unavailable services and results that do not pass validation. A retry repeats an operation after failure; it must not create duplicate messages or records. Use an operation identifier and check whether an action has already completed before repeating it. Record failures in a queue that an identified person monitors.
Human approval needs an actual decision point. Show the source, the proposed change and the reason approval is needed. Do not present a preselected confirmation that encourages automatic acceptance. For sensitive decisions, involve the appropriate specialist and retain the ability to continue the task manually.
6. Hand over a maintainable workflow.
Document connections, credential ownership, validation rules and the procedure for disabling automation. Include the behaviour expected when a supplier changes its API or a model returns a different style of answer. Store enough operational detail to investigate a failure while limiting unnecessary personal data in logs.
A practical engagement should end with a controlled workflow and a named owner, not merely a working demonstration. Agree who reviews alerts, renews access and approves changes. Before expanding to further tasks, use the evaluation guide to check both model behaviour and the surrounding integration.