How to use AI for a small business: a measurable first pilot
Start a small-business AI pilot with one frequent task that has a clear result: drafting customer replies, summarizing approved documents or preparing a weekly report. Define what a correct answer looks like, use approved data, review every output and compare total time and cost against the current process before expanding.
Pick a task with a visible before and after
A good first task produces an output you already know how to assess. Choose a draft that a person will review, rather than a workflow whose mistakes are hard to spot. Keep the inputs and output format consistent so you can compare runs. IBM’s agent-building guidance starts with a clearly defined purpose and success criteria.
Source: IBM: How to build an AI agent — defining purpose and success criteria.
| Pilot | Input | Result to review |
|---|---|---|
| Customer reply drafts | An approved policy and anonymized sample questions | Draft reply with the supporting policy section |
| Meeting follow-up | An approved transcript | Decisions, open questions and proposed owners |
| Weekly reporting | A fixed set of project notes | Status table with a link for every milestone |
| Content repurposing | Your published article | Draft excerpts that preserve the original claims |
Write a one-page pilot brief
Use synthetic or approved examples for the initial test. If a workflow needs customer or confidential data, check the product’s data controls and your organization’s requirements before connecting it. This worksheet helps scope a pilot; it does not replace those requirements.
- Choose one owner who understands the existing task.
- Select a small set of representative examples, including an ambiguous case.
- Define the allowed sources and actions before starting.
- Write the output format and the conditions that count as an error.
- Record baseline completion time, including review.
- Run the same examples through the AI workflow and keep the results.
Use a scorecard that includes human review
Measure total time as preparation plus generation plus checking and corrections. Track the tool cost separately. A draft that appears in seconds is only useful if the final reviewed result is accurate enough for the task. Set your acceptance threshold before seeing the outputs.
| Metric | How to record it |
|---|---|
| Total task time | Minutes from starting work to an approved result |
| Factual corrections | Number of unsupported or incorrect statements fixed |
| Coverage | Required fields completed accurately |
| Cost | Tool charges plus the time spent preparing and reviewing |
| Escalations | Examples where the tool correctly asked for missing information |
Try a customer-response drafting prompt
Using only [approved policy text], draft a response to [anonymized customer question]. Include the policy section supporting each factual statement. Do not promise exceptions, refunds or deadlines that the policy does not authorize. If information is missing, list the questions to ask. Return a draft for review; do not send it or update customer records.
Decide whether to keep, revise or stop the pilot
Keep the workflow when it repeatedly meets the quality threshold and reduces the full cost of the task. Revise it when a clearer input or narrower scope fixes a recurring issue. Stop it when verification costs more than the benefit or the output cannot be checked reliably.
Next, explore the operations and growth sections of our agent-use library for ideas. Those entries describe sourced reports and starter prompts. Treat them as ideas to test in your own workflow, rather than promises of the same outcome.
Sources and method
These worksheets and example prompts are suggested workflows, not product test results. This explainer was prepared with AI assistance and links the sources used for background. Product capabilities and access can change.
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