The same customer question arrives again. A product description still needs rewriting. Notes from a planning
conversation are waiting to become a usable checklist. For a small business owner, these modest tasks can fill
the spaces between serving customers and running the company.
AI may be worth testing on some of that work. For Black-owned businesses in Chicago and beyond, the useful
question is specific: which task could become easier without putting accuracy, customer information, or the
business’s voice at risk?
Start with one task you understand well enough to check. That makes it easier to judge the output and decide
whether the tool deserves a place in your routine.
Choose a task with a clear finish line
Write down a few jobs you repeat: answering basic service questions, preparing product descriptions,
organizing a promotional calendar, or turning your own notes into a staff checklist.
Pick a task that uses information already approved for public use. A draft answering a question about your
published service area is a better first experiment than a decision about someone’s eligibility for a job, loan, or
service.
Define what “done” means before opening a tool. For a customer-response draft, that might mean accurate
information, a friendly tone, one clear next step, and no promises your team cannot keep.
Give the tool facts, not room to guess
An AI writing tool needs the same business context you would give someone helping with a first draft. Supply
your approved service description, relevant policy, intended audience, and the action the customer should
take.
For example, you could ask it to turn your public appointment instructions into a short answer for first-time
customers. Tell it to use only the information supplied and flag missing details rather than invent them.
Check the result against the original instructions. Does it add a price, turnaround time, location, guarantee, or
service you did not provide? Remove anything unsupported.
Generative AI can produce confident but inaccurate content. The [National Institute of Standards and Technology’s generative AI risk profile](https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-generative-artificial-intelligence) identifies this problem, along with privacy and other risks. A polished
answer still needs review.
Try three manageable uses
Customer-question drafts are a useful place to begin. Use your approved public information to prepare
answers about appointment requirements, how to request a quote, or where customers can learn about your
services. Keep a person responsible for sending or approving the answers.
Product and service descriptions offer another bounded task. Provide the real features, dimensions, materials,
or scope of work, then ask for a clearer version. Check every factual detail afterward. Do not let the tool invent
certifications, health benefits, customer praise, or performance claims.
Internal organization can also be a practical test. Turn non-confidential notes into a checklist, group ideas for a
campaign, or prepare questions for your next planning session. Compare the result with your notes so that an
omitted step does not become an operational mistake.
These are experiments to evaluate, not promises of particular time savings or sales.
Protect information before you begin
Do not use a customer's private details as practice material. Write a fictional example or remove information
that could identify a real person. Avoid uploading payment information, confidential agreements, employee
records, passwords, or other sensitive material into an unapproved tool.
Before using business information, read the provider’s current privacy and data-use terms. Check who can
access your inputs, whether they may be used to improve models, what controls are available, and how
information can be deleted or exported.
Removing a name may not make a record anonymous if the remaining details identify the person. When you
are unsure whether information belongs in a tool, leave it out and seek appropriate guidance.
Keep the business’s voice and judgment
Read a draft as the customer receiving it. Does it sound like your business? Does it answer the question
directly? Could someone reasonably interpret it as a commitment?
Replace generic enthusiasm with useful details. A customer asking about availability needs an honest next
step, not an invented opening in the calendar. A complaint deserves a person who can understand the
situation and decide what response is appropriate.
If you later add customer-facing automation, provide a clear way to reach a person. Keep unusual requests,
disputes, exceptions, and consequential decisions with an authorized team member.
Measure the whole task
Try a short pilot with a small set of routine examples. Record how long the work takes without the tool, then
include prompting, checking, editing, and fixing errors in the assisted version.
Review cost as well as time. A subscription that looks inexpensive may still be poor value if it creates additional
work or duplicates something your existing software already does.
At the end of the trial, ask whether the work is clearer, reliably accurate, and easier to complete. Keep, adjust,
or stop the experiment based on those results.
Make the next customer connection easier
Useful technology should support the way your business serves people. Start with a repeatable task, protect
the information involved, and retain responsibility for the finished work.
You can also explore [Black Pages International’s directory](https://blackpagesinternational.com/online-directory/) to review how your business is presented or discover
other businesses. Owners preparing a submission can use the official [Get Listed page](https://blackpagesinternational.com/get-listed/).
Clear information and dependable follow-through remain valuable, whether the first draft comes from a
person, a tool, or both.
