The best first AI project is usually small enough to explain in one sentence. It might help draft an internal announcement, organize a meeting agenda, or turn approved notes into a first version of a procedure. Starting with a defined task makes it easier to judge whether the tool is useful.
Choose work that someone already understands. If your team cannot describe what a good result looks like, it will struggle to evaluate an AI-generated result. Begin with a repeatable activity that has a clear owner and a manageable consequence if the first draft is wrong.
Set rules for the information employees can enter. Customer records, passwords, confidential agreements, and employee information should not be pasted into an unapproved service. Review the provider's terms, data handling, access controls, and account settings before allowing business use. Those details vary between products and plans.
Create a consistent instruction for the task. Tell the system the intended audience, the purpose, the source material it may use, and the format you need. Ask it to identify missing information instead of filling gaps with assumptions. A detailed prompt does not guarantee accuracy, but it gives the reviewer a better starting point.
Keep a person responsible for the final result. Check names, figures, dates, and any claim that matters to a customer or employee. AI can produce plausible statements that are incorrect. It should not be treated as an authority simply because its writing is confident.
Measure the whole workflow. Compare the time spent doing the task manually with the time spent preparing instructions, reviewing the output, and correcting errors. Saving ten minutes on drafting is less helpful if verification adds twenty minutes afterward.
NIST's AI Risk Management Framework offers a structured way to think about AI risks. For a small pilot, translate that idea into a named owner, clear boundaries, and a review date. Run the experiment long enough to see typical results, then decide whether to improve, expand, or stop it.
Contact InnerDigital to discuss a practical AI pilot that fits your workflow and protects the information your business handles.
Reference: NIST AI Risk Management Framework