Scheduling sessions, following up with prospective clients, and sending onboarding information all take time between training sessions. AI might help with the writing, but the draft still needs checking before it can be used.

    In my initial survey of 155 small-business respondents, 104 reported using AI. Inaccuracy of information was listed as the biggest difficulty by 24 users. This was a self-selected, non-representative sample across industries, not a representative survey of independent trainers.

    There is one question that you might want to ask yourself based on these findings: does the use of AI minimize the effort required to create something that you can actually use? The following task check is a suggestion that you can use to do so.

    Start with one task, not another subscription

    Be specific about what you need. It might be a new-client welcome email explaining your booking process, a follow-up for a prospective client, or a client onboarding checklist. Determine what elements should be included in the completed text and what promises it must avoid making.

    In case of an explanatory email, this might include your address, duration of each session, a link for booking, and a standard cancellation notice. Add all this information yourself. Tell the tool to keep the blanks blank in case of any absent elements. This will help in the writing process but won’t ensure accuracy.

    One example of the prompt: “With the information about the business provided below, draft a short explanatory email regarding the process of booking the first appointment. Use placeholders for names. Do not mention discounts, guarantees, healthcare-related information, or any new policies.”

    For a prospective-client follow-up, provide the next step you actually offer. For an onboarding checklist, supply your existing steps, such as sending required forms and confirming arrival instructions, rather than asking AI to invent them.

    Compare your generated text with your best example. In case you already have a template that answers your questions, you might not have to generate a new response every time. Automated appointment reminders and AI-based emails are two different things.

    Check the promises, not just the spelling

    According to the American Council on Exercise’s advice on AI-generated material, you should always verify its accuracy and whether it correctly presents your ideas. In case of administrative copy, perform this step for every commitment implied by your business.

    Think about the text stating that you offer a free consultation you don’t offer and promising rescheduling of late cancellations at no additional cost. It will look nice while being wrong. This is an example of what needs to be checked, not a result of survey analysis.

    Before you send it, double-check your dates, prices, availability, links, and policies with your records. Then, read it aloud: does it sound like you and answer the addressee’s question? The brief letter might need fewer changes than one written in sales language.

    Choose the person or persons who will approve the letter before sending it. If you work alone, you are the person. If an assistant writes it, define who is responsible for checking and sending. Count the whole job First, time your usual process, including any template you already use. Then try AI on a few similar tasks, such as routine new-client welcome emails, and compare the results. Record the time spent on the activity from data collection through approval of the completed message. Writing the prompt, waiting, reviewing, rewriting, and possibly correcting afterward should be part of the timing of similar activities using the same criterion for an acceptable outcome. For example, let us assume that normally the process takes ten minutes. The AI draft takes one minute, but preparing the input and correcting the output takes seven more minutes. Two minutes were saved, not nine. Whether this saving is worthwhile will depend on frequency, cost, and result. The economics of drafting a single job description and drafting a message every day are very different. Time spent setting up the task and learning how to do so must be included along with costs of subscriptions. Try several normal tasks instead of evaluating the program on the best output. Log each test activity individually with a simple record of the task, total time in minutes, number of corrections, and final decision. Constant repetition of a problem is a reason to alter the process. Decide what stays human Define your trigger. While a generic message might be suitable for a reminder or a routine question about the services provided, a client disputing a charge, missing appointments, or expressing frustration deserves your care and attention before any generated message is sent. Think of privacy. According to the ACE Code of Ethics, an ACE-certified professional must maintain client confidentiality. For the very first use of the service during completion of administrative activities, make sure you use hypothetical cases or approved, nonconfidential business data but not the names, medical histories, or payment details of your clients. Judge your results after the trial. Does the completed message meet your standards? Is the total effort lower than your usual process? Keep the process if it is worthwhile, adjust it if a specific problem needs fixing, or stop if it is not useful. Think about keeping useful text templates but do not forget to adjust them from time to time according to your fee structure, availability or other policies. Stop using this tool if it generates fictional company policies or requests confidential client information. Your aim is not to use AI for its own sake but to reduce your administrative load without losing the personal touch.