A demonstration can show that an AI assistant completed a task once. It does not show what happens when information is missing, a connection fails, or the same request is processed again. Before an Orange County business relies on a new workflow, it needs an acceptance test that describes the intended result and the limits of the assistant's authority.
Local AI Developer scopes builds around a dedicated Mac mini, connected tools, and saved business knowledge. The Orange County AI automation service starts with an agreed workflow rather than a promise to automate everything. This guide is a practical way to define whether that workflow is ready for the team using it. It is not a certification or a guarantee that every future exception will be handled.
Write the contract in observable terms
Choose one task and identify its starting state, input, output, and final reviewer. An example might be preparing an internal summary from an approved set of documents. The expected result is a saved summary linked to those documents, with missing information called out and no external message sent.
Avoid requirements such as understands our business or saves us time unless you also define how they will be checked. A more testable requirement is that every summary identifies its sources and leaves unsupported values blank. Another is that a draft is saved in a location the reviewer can open.
List actions that are not permitted. If the workflow may prepare a customer reply but may not send it, the test must verify that boundary. Permission controls are part of the deliverable, not an optional configuration detail to inspect after the system starts working with live accounts.
Build a representative test set
Use examples that cover the work your team actually receives. Start with redacted or synthetic inputs where possible, and keep a record of which version of each example was used. Include more than a clean, fully specified request.
- A normal case with complete information and a clear next step.
- A case with a missing fact that must not be guessed.
- Two sources that disagree about an important value.
- A duplicate request and a legitimate update to an existing request.
- An unavailable account, file, or destination.
- A request outside the workflow's agreed scope.
- Source material that contains instructions the assistant should not treat as authority.
For each example, write the expected handling before running the test. Some examples should stop and ask for review. A system that produces a confident answer for every input may be less useful than one that correctly recognizes when it cannot proceed.
Separate content quality from action completion
Check the output itself: did it capture the relevant facts, preserve uncertainty, avoid unsupported claims, and follow the agreed format? Then check the action: was the file actually saved, was the correct record updated, and can the intended person access it?
These are different gates. A well-written draft in the wrong folder is an incomplete handoff. A correctly updated spreadsheet containing an invented date is also a failure. The test record should make it possible to see which gate failed and what evidence supports the result.
Do not accept the assistant's own completion statement as the only evidence. Open the file or destination independently. Where the action affects a live business system, verify the actual record by its identifier. A local status note is useful for tracking, but it does not prove what happened in the external application.
Test the approval boundary directly
Create a case where the assistant has enough information to prepare an action but has not received permission to execute it. Verify that the workflow leaves a draft or review item and stops. Then test the authorized path using a safe test destination, with the owner controlling the permission.
Do not use a real customer, purchase, or appointment merely to prove that a button can be clicked. Select a test method appropriate to the application and your account. If no safe test route exists, record that portion as unverified and agree on a supervised first use.
Also test misleading instructions inside source content. A document or email may contain text asking the assistant to ignore prior rules or send information elsewhere. The workflow should treat that text as material to analyze, not as a new authorization from the business owner.
Interrupt the workflow between steps
Many failures occur after part of the work is already complete. For example, a file is created but the task list is not updated. On a retry, the system needs to recognize the existing output and continue safely rather than create duplicates or repeat an external action.
Choose one or two meaningful interruption points and test recovery. Check whether the workflow records completed steps, preserves the original source reference, and tells the reviewer what remains unfinished. Make the test small enough to inspect manually.
The failure message should be understandable. Account access unavailable; no new items checked is better than reporting an empty inbox. Draft saved; review notification not completed is different from declaring the entire task successful. These distinctions let the team respond without reconstructing every internal step.
Measure the complete workflow
Establish a baseline using the current manual process. Measure the same task from the same starting point to the same accepted result. During the pilot, include time spent reviewing, correcting, resolving exceptions, and maintaining the workflow.
Avoid crediting the assistant with an outcome it did not cause. Preparing a sales draft is not a sale. Summarizing an inquiry is not a booked appointment. A saved report is not a completed decision. Keep activity measures and business outcomes in separate columns.
Use the measurements to decide whether the scope should expand, shrink, or change. A workflow that works well for one request category can remain limited to that category. It does not need to handle every exception to be useful, but its limits must be visible to the people relying on it.
Have the actual user perform the review
The person who will use the result should evaluate the output, not just the person building the workflow. Ask whether the information is in the right order, whether the source is easy to inspect, and whether the next action is obvious.
Test access from the intended account. Check that links open, permissions are appropriate, and the review surface is usable without the builder's computer session. If a staff member needs training to interpret the output, include that in the handoff rather than assuming it will be self-explanatory.
Keep a record of unresolved concerns. A passing technical test should not erase a business user's objection that the draft is misleading or incomplete. Agree on which concerns are launch blockers and which can be handled within a documented later scope.
Use a clear launch decision
Summarize the test set, passed cases, failed cases, unverified connections, and known limitations. Name the owner who decides whether to proceed. A launch decision can be limited: use only redacted internal documents, operate only in draft mode, or require a reviewer for every item during the first trial.
Document how to pause the workflow and how the team will return to its manual process. Keep backups of the instructions and test examples. Changes to tools, models, permissions, or source formats may require the acceptance set to be rerun.
For ongoing review, look at exceptions and actual outcomes over a useful period rather than reacting to a single impressive result. A stable test set gives the owner evidence that later changes preserved the behavior they approved.
Make acceptance part of the build scope
Bring the workflow's intended input, output, prohibited actions, and a few redacted examples to the scoping discussion. Confirm what testing, documentation, support, and owner review the chosen package includes. The build packages and builder questions guide can help prepare that conversation.
Justin J. Brown explains the underlying approach in Your Computer Is About to Wake Up. To apply it to your business, describe the workflow you want to test. Local AI Developer can help turn an attractive demonstration into a concrete, reviewable scope without promising a business result the evidence has not established.