Agentic Operations

It is the step beyond a single automation or a chatbot. A small team can run processes that once needed a coordinator, because the agent hands work back only when a human decision is needed, not at every step. The risk is just as real. An agent that is given too much access, or that reports success without proof, can make mistakes at machine speed. The craft lies in scoping each agent narrowly, giving it only the access it needs and building checks so it shows its work.

• Start with one process whose outcome can be checked, such as reconciling a feed or drafting a routine follow-up. Avoid anything that depends on judgement.
• Give the agent a specific goal and the narrowest set of tools that reaches it.
• Decide what it may do alone and what needs approval first.
• Make it prove the work: a summary of what changed, a list of exceptions or a record of each action.
• Widen its scope only after it has been reliable on the narrow version, and test it with agent evals.

A chatbot answers. An agent acts. Given a goal, a set of tools and limits, it can read a bank feed, match payments to invoices, update a customer record or draft a follow-up email, then report back. Agentic operations is the practice of running recurring business processes this way, with people handling decisions and exceptions, not the routine steps.

• Starting with a broad "run my admin" brief and no checks.
• Trusting a message that the task is done without looking at the result.