Choose bounded tasks
Useful applications include outlining, comparing approved source material, identifying missing questions and producing draft variants. High-risk factual decisions should not be delegated without an explicit review design.
Control the input
Do not place patient data, confidential records or restricted client information into an unapproved model. Define which systems, data classes and use cases are permitted before the team experiments.
Trace claims to sources
A fluent draft can invent or overstate. Review important claims against approved evidence, capture citations and make the human owner visible. The final reviewer should understand the subject, not only the writing.
Measure quality and rework
Speed alone is not a benefit if review time, correction risk or homogenised language increases. Track error categories, approval cycles and whether the material remains useful to the intended audience.
Teams should keep examples of acceptable and unacceptable output, define when a draft must be discarded rather than repaired, and revisit the workflow when the model, source set or risk profile changes.
Practical takeaways
- Use AI for defined production tasks, not unbounded authority.
- Keep sensitive information out of unapproved systems.
- Make evidence, review and final ownership explicit.