Where AI belongs in your workflow

Start with the work people already do

Choose one recurring task and follow it from beginning to end. What starts it? Which documents, messages, or systems does someone consult? Where do they copy information, interpret a request, wait for an answer, or check another person's work? Write down the handoffs as well as the obvious steps.

A useful starting point is a specific difficulty, such as turning inconsistent requests into a complete brief. That gives you something to investigate. A broad aim like using more AI leaves the problem, the people affected, and the definition of a good result unresolved.

Separate assistance from decisions

AI may be useful when the task involves interpreting language, drafting a response, or organizing information that arrives in different forms. Straightforward rules, a better form, or an integration may be enough for predictable steps. Compare those options before deciding what to build or buy.

Next, decide how the output will be used. A draft someone reviews has different consequences from a system that updates a record or sends a message. For an initial trial, consider letting AI prepare the work while a person checks the evidence and approves the next action. Make that responsibility visible in the workflow.

Define the information boundary

List the information the task actually requires. Avoid including entire folders or unrestricted system access when a smaller set will do. Before using real information, check the proposed tool and configuration with the people responsible for it. Treat these as questions to resolve before the trial:

• What information may the tool receive, and what must stay out?
• Who can access the inputs and outputs, and how long are they retained?
• Which source should a reviewer use to check an answer?
• What happens when information is missing, contradictory, or out of date?

Test the whole task, including review

Prepare a small set of representative examples, including awkward cases that people regularly encounter. Write down what an acceptable result contains before trying the tool. Compare its output with the current process, checking completeness, accuracy, the corrections required, and the time needed to review it.

A polished draft is not automatically useful if checking it creates more work. Watch someone use the result in the next step. Record where they hesitate, what they verify, and which information they still have to find. Include a clear route back to the existing process when the tool cannot help.

Make the next decision small

Give the trial an owner, a defined group of users, and a review point. Agree on what would justify continuing, changing the approach, or stopping. The outcome might be a reusable prompt, a workflow inside an existing tool, a small application, or a decision to improve the underlying process first.

If the trial is useful, document its boundaries and show people how to recognize an unsuitable result. Expand one part of the workflow at a time. Keep checking the work after changes to the tool, the information, or the task itself.