Direct answer: An AI agent can combine model output with tools to perform steps in a workflow. Start with a bounded task, restrict what it can read or change, and require human approval for consequential actions. Evaluate observed results before deciding whether broader deployment is justified.
Choose a workflow you can evaluate
Document the inputs, intended output, allowed tools and conditions for handing work to a person. Begin with a task that has an existing review process, such as preparing a draft for approval or collecting information from authorized systems. Do not assume fluent output is accurate.
Set permissions and human responsibility
Give the agent only the access needed for its task. Define who owns the workflow, who approves external messages or changes, and how it can be stopped. Check the handling of sensitive information, tool credentials, logs and retention before connecting business systems.
The NIST AI Risk Management Framework is voluntary guidance for managing risks through the design, use and evaluation of AI systems. It is not an AI product certification. NIST AI Risk Management Framework. Reference checked 2026-09-24.
Measure a pilot without inventing savings
Create representative test cases and compare the same task with the current process. Record errors, corrections, time spent reviewing and operational cost. Keep failed cases and unknowns in the evaluation. If there is no reliable baseline, report that gap before making a productivity claim.
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