Key takeaways
- Explain approved uses, data permissions and review responsibilities before asking staff to adopt a tool.
- Provide practice on actual tasks and tell employees how a successful trial could change their workload.
- Evaluate completed work and correction effort, and give staff a way to report unfavorable results.
Employees asked to use an AI tool need to know which work it is intended to help with, what information they may enter and who checks its output. Managers also need to explain whether it will change staffing, targets or responsibilities. Those decisions affect how a trial operates from its first day.
Begin with a specific problem the team recognizes, such as delays preparing a recurring report. Describe which part of that task the proposed tool would handle and how employees will judge whether it helps. Ask staff who perform the task to identify exceptions before setting a savings target.
Explain who remains responsible for each decision
Assign an owner for approving use of the tool, an owner for its data access and a contact for support. In a small business, one person may hold several roles. Employees should still be able to find out who can answer a question or stop a problematic use.
NIST’s AI Risk Management Framework, published in 2023, calls for clear responsibilities, appropriate staff training and processes for reporting problems. It also treats monitoring and review as continuing responsibilities after deployment.
Put the rules where staff use the software. Name the approved service and account, the information it may receive, the uses that require review and where employees should report errors. If a customer document is excluded, explain how staff can carry out the task without uploading it.
Give staff time to practice actual tasks
Schedule practice during paid working time and arrange coverage where needed. Use examples from the intended task, with permission to share the material. A useful session lets employees try the software, compare its output with an accepted result and explain what they would change.
Include mistakes in the training. Staff reviewing a generated report should practice finding an incorrect figure, a missing qualification and an unsupported conclusion. Ask them to use the underlying records, so the exercise tests review rather than confidence in fluent language.
Match instruction to the person’s role. Someone preparing a draft needs to understand input restrictions and output checks. Someone approving customer communications needs to check recipients and commitments. An administrator needs to know how to remove access and obtain logs when an error is reported.
Discuss changes to workload and performance expectations
Say what management intends to do with time that a successful trial might release. Plans could include reducing a backlog, improving response times or avoiding additional hiring. If decisions about staffing have not been made, say so plainly and identify when employees will receive an update.
Avoid measuring individual performance by prompt counts or minutes spent in an AI application. Those measures can encourage unnecessary use and say little about whether a task was completed well. Compare completion time, corrections and service quality for the process being tested.
Make room for unfavorable results. An employee who spends longer checking an AI draft should be able to report that without being labeled resistant to change. Ask for examples and timing information so the team can investigate the cause.
Use a short, recurring operating review
Bring the process owner, a representative user and the person responsible for costs together after enough cases have accumulated to evaluate the trial. Review completed work, recurring errors, support requests and spending. Record whether training, permissions or the task itself need to change.
Share useful examples with other teams alongside their limits. A prompt that helps prepare one department’s report may depend on a particular document format or reviewer’s expertise. Include that context before asking another department to adopt it.
Close each review by naming who will make the agreed changes and when staff will see them. If the tool is being retired, explain where unfinished tasks will go, when access will end and how retained company information will be handled under the service agreement.
