01 / FIELD NOTE

Start with the work, not the tool

Write down one task your team repeats every week: drafting a first reply, organizing questions, summarizing feedback, or preparing a content outline. Note who does it, how often it happens, and where errors or delays appear.

This keeps the conversation focused on a real process. It also gives the team a simple baseline to compare after a change.

02 / FIELD NOTE

Make the first version small

Choose a task where a person can review the result before it reaches a customer or becomes an official record. For example, AI can suggest a draft response or group common questions; a staff member checks accuracy, tone, and sensitive details.

Keep private customer information out of tools that have not been approved for it. Set clear rules for what people may enter, what needs human review, and who owns the final decision.

03 / FIELD NOTE

Measure usefulness in everyday terms

Track a few practical signals: time spent, number of edits required, response consistency, or whether the team actually uses the workflow. A tool that saves a few minutes but adds confusion may not be a good fit.

Ask the people doing the work what improved and what became harder. Their feedback helps refine the process before expanding it.

04 / FIELD NOTE

Improve the workflow before scaling it

Once a small pilot works reliably, document the steps and limitations. Then decide whether to extend it to another task, adjust the instructions, or stop using it.

A useful AI adoption plan is a sequence of small, reviewable changes. Begin with a clear task, keep a person accountable, protect information, and let evidence guide the next step.