What should an AI pilot look like for a ten-person company?
For a ten-person company, an AI pilot should cover a narrow task, have a named owner, and run against agreed acceptance checks. Start with safe test information and human review. Document the current process, track corrections and handoffs, and keep a working fallback. Expand only after the team can verify the result.
Which task should a small company choose?
Select a recurring task with an observable finish. Preparing a draft response for staff approval is easier to bound than managing all customer communication. Organizing an inquiry for the correct employee is more specific than improving the entire sales operation.
Ask the people doing the work where they lose time and where mistakes require repair. A Los Angeles field-service team may struggle with incomplete requests reaching dispatch. The pilot could test whether an assistant prepares a more useful intake note, with the dispatcher checking it before acting.
Avoid choosing solely because a demonstration looks impressive. The task needs enough repetition to evaluate, enough clarity to judge, and consequences the team can manage during testing. If nobody can explain what a correct result looks like, refine the task before selecting a tool.
Who needs to own the pilot?
Assign a business owner who can approve the scope and a staff reviewer who knows the workflow. In a small company, the same person may cover several roles, but each responsibility still needs to be explicit. Someone must decide whether the system continues after a failure.
Name the person responsible for the approved information. If appointment rules change, the pilot needs a clear update path. Staff should not quietly correct answers in separate documents while the assistant continues reading an old source.
Include the people receiving the output in planning. A neatly formatted summary is not useful if the employee cannot find it in the place where work is assigned. Have that employee demonstrate how they receive, review, and complete the request before calling the handoff ready.
What should we record before testing starts?
Describe the current process and capture an approved baseline. Record the kinds of requests involved, the work required to handle them, and the mistakes that cause rework. Use consistent definitions so later comparisons mean something. If the existing records are incomplete, say so.
Write down the intended improvement without promising a result. You might want clearer intake notes or less staff rewriting. Decide how to observe that improvement and what would count as unacceptable behavior. A faster draft is not an improvement if it introduces details staff have to investigate.
List approved inputs, allowed actions, and prohibited actions. Define where the output goes and which person reviews it. Include a review date agreed by the team and the evidence needed for a continue, change, or stop decision. Keep the pilot from drifting into permanent operation by default.
How do we test mistakes and interruptions?
Use fictional cases before introducing approved live work. Include incomplete information, contradictory instructions, a request outside scope, and a person asking to bypass the normal process. Check whether the assistant asks for clarification or sends the issue to the responsible employee.
Test the connections as well as the wording. What happens when a destination is unavailable, a notification is delayed, or a request arrives again? The system should not claim completion merely because it generated a response. Verify what the receiving employee can actually see.
Practice the fallback. Staff should know how to stop automated actions and use the previous process without reconstructing the instructions under pressure. Preserve the evidence needed to investigate a failure, while following the approved data handling rules. Correct the cause and repeat the affected test before resuming.
What decides whether we expand the pilot?
Review the actual work with the people who performed it. Compare output quality, correction effort, successful handoffs, and business outcomes against the baseline and acceptance conditions. Include operating demands such as maintenance and staff attention. A system that needs constant rescue may not be ready to expand.
Distinguish a repair from a new project. Fixing a missed required field is within the pilot's task. Adding outbound messaging or a new customer data source changes the scope and needs its own review. Expansion should be deliberate, with updated boundaries and tests.
Connor at Los Angeles Artificial Intelligence can help frame the starting task and the evidence required to judge it. Bring an invented request and a description of the current workflow. Finish the pilot with a written decision, an operating owner if it continues, and a documented reason if the business returns to its previous method.
What else should I know before deciding?
Does the whole company need to join the pilot?
Include the people required to operate and review the chosen task. Keep other staff informed about relevant changes without making every employee test an unrelated workflow.
Should the pilot send customer messages automatically?
Begin with staff-reviewed drafts when practical. Automatic sending changes the risk and requires explicit scope, approved content, recipient checks, and tested recovery before it is enabled.
How long should the pilot run?
Agree on a review point and enough representative work to judge the task. Do not let a calendar deadline substitute for missing evidence or unresolved failures.
What if the results are mixed?
Separate the cases that worked from those that failed. Narrow the task, repair a specific defect, or stop the pilot based on the agreed conditions and staff review.
What should we keep after the test?
Retain approved documentation, acceptance results, decisions, and operating instructions under your data policy. Remove unnecessary access and test information when the pilot no longer needs them.