Choose the task before the tool
Following AI developments is easy; deciding where they help your business takes more thought. Start with work that repeats, produces a checkable result and can be reversed if something goes wrong. Drafting actions from meeting notes, summarizing public product information or improving an internal document are possible candidates. The initial goal is a measurable improvement in one workflow, rather than a company-wide transformation.
Technical source: NIST — AI Risk Management Framework
Make data boundaries explicit
Document which tools employees may use, which accounts they should use and which information they may provide. Establish a process that keeps customer lists, credentials and unpublished pricing out of unapproved services. A paid subscription alone does not establish suitability for your data. Review retention, access, connected applications and model-training terms for the specific service and agreement your organization will use.
Generated text is not verified information
A fluent answer can still be wrong. NIST provides a voluntary framework for addressing AI risks across design, use and evaluation. Our practical recommendation is to match review to the intended use: a suggested headline and a technical proposal sent to a customer need different checks. Assign someone to verify sources, figures and product capabilities before material is used externally.
Run a small comparative pilot
For example, a proposal team could complete ten comparable tasks using its existing method and then an approved AI tool. Measure drafting time, corrections and final-review effort together. A quickly generated draft is not automatically a success: if correcting it takes longer, the workflow is not ready. This is an illustrative pilot design, not a reported customer outcome. Keep the task definitions consistent enough to make the comparison useful.
Make a decision at the end of the first month
Before the pilot starts, name the workflow owner, reviewer and stopping criteria. At the end of the month, compare employee feedback, accepted outputs and total completion time. If the approach helps, extend it to another workflow under the same controls. If results are weak, improve the task definition and data quality before buying more licenses. Lasting value comes from fitting the tool into a controlled operating process.