KhaqanWhat is AI agent in business operations?
An AI agent in business operations is software that uses a large language model to complete a defined task, such as answering a sales enquiry or processing a bill, by reading inputs, choosing actions and calling business systems such as an ERP through tools.
A chatbot answers; an agent acts. The difference is tools: an agent is given functions it may call (look up a customer, create a lead, draft a reply, fetch a stock level, create a draft bill) and a goal, and the model decides which calls to make and in what order until the goal is met or it has to stop. The business defines the tools, so the business defines the limits. An agent with read-only tools cannot damage anything; an agent that can post journal entries can.
It matters because most operational work is not creative, it is procedural with exceptions, and that is where a model earns its keep. Answering the same twenty questions on WhatsApp, reading supplier bills, chasing a missing delivery note, summarising a support thread: each is a small task with a clear success condition that previously needed a person's attention at an inconvenient hour.
I have five AI systems in production for the group I work for, and the pattern that has held up is the same in each: a narrow task, a small set of tools, the ERP as the single source of truth, every action logged, and a human review queue in front of anything irreversible. A sales agent, for example, might qualify a WhatsApp enquiry and hand a lead to the ERP, while a person confirms any quotation before it goes out.
The common mistake is starting with the most ambitious agent, the one that runs a whole process end to end, and discovering that a single confident error early in the chain contaminates everything after it. Start with one step, measure how often a person overrides it, and widen the agent's tools only when that rate is low and stable.
Related terms
- human review queue (human in the loop): A human review queue is a holding area where an AI system's outputs wait for a person to approve, correct or reject them before they take effect, keeping the system's speed while catching its mistakes before they reach customers or the accounts.
- document OCR into an ERP: Document OCR into an ERP is the pipeline that turns scanned or emailed documents, most often supplier bills, into structured ERP records: extract the text with optical character recognition, interpret the fields, match them to existing data and queue the result for human approval.
- ERP (enterprise resource planning): Enterprise resource planning (ERP) software runs a company's core operations, such as finance, purchasing, inventory, sales, manufacturing and HR, from one shared database, so a transaction entered once in one department is visible and correct everywhere else.