An AI pilot that works for one enthusiastic employee may still be difficult to operate across a business. Shared use introduces questions about access, consistency, support, and what happens when the tool makes a mistake. Expanding the pilot requires an operating plan.
Write down the exact process you want to improve. Identify its starting point, the information it uses, the output it creates, and the employee who approves the result. This exposes assumptions that may have remained hidden while one person handled everything informally.
Assign a business owner and a technical owner. The business owner defines acceptable results and decides whether the workflow remains useful. The technical owner manages connections, permissions, and failures. In a small company, one person may coordinate both roles, but the responsibilities still need to be explicit.
Limit actions to the approved scope. A tool that reads documents does not necessarily need permission to change them. A system that drafts replies should not automatically gain authority to send customer commitments. Give integrations only the access required and use human approval for consequential actions.
Define what happens when information is missing or conflicting. The system should be able to stop and request review instead of inventing an answer or forcing a transaction through. Test ordinary exceptions such as duplicate records, incomplete requests, and unavailable source systems.
Maintain a manual fallback. Employees should know how to complete essential work if the AI service or an integration is unavailable. Document where the process stopped so work is not accidentally repeated after service resumes.
Monitor the result after launch. Review error patterns, user feedback, and changes to the underlying tools. A workflow that performed well during a pilot can behave differently when the input changes. Keep a controlled way to update instructions and roll back a change that causes problems.
NIST's generative AI guidance treats risk management as an ongoing responsibility. Apply that principle by reviewing the process regularly, not just approving the initial demonstration. Contact InnerDigital to help turn a successful AI experiment into a supported workflow with clear ownership and safeguards.
Reference: NIST Generative AI Profile