When a new AI product makes headlines, it is tempting to start by asking which tool to buy. Start one step earlier: find a recurring task that costs your team time, then decide whether AI is a reasonable way to improve it.
This keeps the project connected to a real business need and makes it easier to tell whether a tool helped or simply added another subscription and process to manage.
Make a list of recurring work
For one week, ask each person to note tasks that repeat, move information between tools, or require starting from a blank page. Examples include drafting product descriptions, summarizing customer feedback, preparing meeting notes, or creating a first draft of an internal report.
Do not assume a task is suitable just because it is repetitive. It may depend on context that is hard to capture, involve sensitive information, or require judgment that belongs with a trained employee.
Score each task before looking at tools
Give each candidate a simple score from 1 to 5 for frequency, time spent, repeatability, reviewability, risk, and data sensitivity. Look first at tasks that happen often, take noticeable time, and are easy to review. Treat risk and sensitive data as gates, not numbers to average away. If an error could cause serious harm, choose another task or get qualified advice.
Define a small pilot
Write a one-page pilot brief before signing up for a tool. State the task, who will use it and review it, which inputs are allowed, what output you expect, how you will measure success, who approves the result, and what conditions will stop the trial.
For example, a shop might test AI for drafting replies to a few common delivery questions. The tool can suggest a response from an approved policy document while a staff member checks the order details and sends the message. Track handling time and how often staff rewrite the draft.
Use real evaluation, not a polished demo
Prepare a small set of typical examples and a few difficult cases. Test the same task with the current process and the AI-assisted process. Record corrections, missing details, review time, and setup work. Include the subscription cost and the employee time needed to maintain the workflow.
Keep the pilot small enough to pause without disrupting the business. Avoid feeding real customer information into a new service until you have reviewed its data handling, access settings, and terms.
Decide what happens next
At the end of the trial, choose one of three outcomes: stop, revise the workflow, or expand carefully. If you expand, document the process and train the people who will use it. A tool that works for one person and one task may behave differently with more users, more data, or a new workflow.
The first useful AI project is usually not the most impressive one. It is the small, measurable improvement that your team can understand, verify, and maintain.
Sources and further reading
- Google Search Central: Creating helpful, reliable, people-first content
- OpenAI: A business leader’s guide to working with agents
Editorial note: The scoring worksheet is an original planning aid, not a validated benchmark. Adapt it to the business’s legal, privacy, and security requirements.
