A useful experiment measures an entire task, including checking and corrections. Start with a defined job and decide what would count as a worthwhile result.
Begin with a real task
An impressive demonstration can be difficult to translate into a normal working day. Choose a task your business already performs: turning approved notes into a first draft, organising public information or generating alternative wording for a routine message. Define the input and the intended result before selecting a tool.
Start with material appropriate for the chosen service. Confirm your organisation’s rules and the service’s data arrangements before entering confidential or personal information. A convenient trial should not depend on colleagues guessing what they are permitted to share.
Keep a comparison
Complete a representative version of the task using the existing method and record the effort required. Then test the AI-assisted method on comparable material. Include the time spent preparing instructions, checking the answer and correcting errors. A quick first draft may still require substantial work before it is usable.
Define quality in terms the team can assess: factual accuracy, completeness, tone, consistency with the brief and ease of revision. Use the same criteria for both methods. Where possible, have another colleague review the results without being told which method produced them.
Give the reviewer a clear job
Generative AI can produce convincing statements that are inaccurate. NIST’s Generative AI Profile identifies confabulation among the risks organisations need to manage. A fluent answer therefore needs a checking process matched to the task, rather than a quick glance for obvious mistakes.
Name the person responsible for the final output. For factual material, check claims against the underlying sources. For customer messages, review the promises being made. Record failure patterns as well as successful examples. Repeated omissions may matter more than a single striking result.
Decide what the trial earned
At the end of an agreed trial period, review the whole workflow. Did acceptable work take less effort? Did the process become easier for the people using it? Were corrections predictable and manageable? Include tool costs and any additional review work in the assessment.
Keep the result specific. A tool may help with one tightly defined task while performing poorly elsewhere. Document the instructions, acceptable inputs and review steps for any workflow you retain. Retest when the task or tool changes materially. The purpose of the experiment is a better way to complete useful work, with evidence clear enough for the team to trust the decision.
Further reading
Illustration: AI-generated for Entrepreneur Prime. People and scenes are fictional.
