Choose a job the agent can be evaluated on
Start with a specific task rather than an agent that does everything. An internal knowledge assistant could help staff locate relevant guidance. A support assistant could prepare a response for review. A workflow assistant could gather information needed for a handover. These are potential applications, and each needs its own definition of a correct and useful result.
Separate answers from actions
OpenAI's tool capabilities allow applications to connect model responses to functions and information sources. For a business agent, the important design question is what it may do with that access. Drafting a reply, sending it and changing a customer record should be distinct capabilities. Scope permissions to the task and require review where an action has meaningful consequences.
Make uncertainty visible to the user
A polished interface should still give users a way to inspect an answer and correct a mistake. Discuss source visibility, missing-information messages and escalation paths before launch. An assistant that cannot find an approved answer should have a useful next step, such as asking for clarification or handing the task to a colleague.
Build around the people using it
We combine conversational interface design with software engineering and integration work. That means discussing where the agent appears, how it fits existing responsibilities and who maintains its knowledge. Start with one team and a defined task, then use feedback to decide whether broader rollout is justified.
Source and further reading: OpenAI: using tools