Guide
What Is a Custom Business Agent?
Published 2026-08-13 · Updated 2026-09-05 · LI B2B
Choose the right kind of system for the job
A rules-based workflow follows steps that can be decided in advance. A chatbot responds inside a conversation. A business agent handles a defined job in which the information or next step can vary, using approved tools and sending specified decisions to a person.
Use the simplest option that fits the work. If every input can be checked with fixed rules, a workflow is usually enough. If the job is answering a person’s question, use a chatbot. Consider an agent when the system must interpret variable information, choose among permitted actions, and handle exceptions.
Rules-based workflow
Best for predictable triggers and steps. Example: when an approved form is submitted, create a task and notify its owner.
Chatbot
Best for a conversation. Example: answer a customer’s question from an approved help library and hand off questions the library does not answer.
Business agent
Best for a narrow job with variable inputs. Example: review an incoming document, determine which permitted next step fits, prepare the work, and route an exception or approval to its owner.
Illustrative example: reviewing an incoming invoice
This is a synthetic example, not a customer result. Exact fields, permissions, and approval rules would come from the business’s real process.
Input
An invoice arrives with variable line items, vendor details, dates, amounts, and sometimes a purchase-order number.
Output
A structured review record showing the extracted fields, matched purchase order when found, checks performed, and the proposed next step.
Permitted actions
Read the approved invoice inbox, look up purchase orders, create a review task, and attach the prepared record. It may not pay the invoice or change vendor data.
Approval
The accounts-payable owner reviews the prepared record and approves any action that commits money.
Exception
Missing purchase orders, possible duplicates, mismatched totals, unreadable documents, and unknown vendors go to the owner without an automatic financial action.
What defines a controlled agent
Start with a job the business can name and measure. Then define what starts the work, which information the agent may use, which tools it may call, and which actions it may take.
Write down the approval points, exception conditions, and manual fallback. Keep a history of the inputs, proposed actions, approvals, and results needed to review what happened. These controls belong beside the workflow that creates the side effect.
- Objective: the business result and the owner responsible for it.
- Inputs: the approved systems, documents, and fields the agent may read.
- Permitted actions: the exact tools and changes it may use or prepare.
- Approvals: the actions that pause for a named person or role.
- Exceptions: missing data, low confidence, unusual cases, and failed tools.
- Fallback and history: how work continues manually and how decisions are reviewed.
Other jobs that may fit
These are possible patterns, not packaged products or claims about delivered customer systems.
Quote follow-up
Check open quotes and recent replies, then prepare a follow-up for review. Closed quotes, unusual pricing, missing contact details, and customer complaints go to the owner.
Weekly reporting
Collect approved figures, identify missing data, and draft an owner summary with source labels. A person decides what the figures mean and what to do next.
Inbox and task intake
Classify recurring requests, draft a task, and suggest an owner. Commitments, deletions, and messages sent as the business require an explicit policy and approval.
Questions to answer before building one
Write the answers with the people who do and own the work today. They become the basis for examples, acceptance tests, and operating rules.
- What exact result should improve, and how is it measured today?
- Which inputs vary enough to require interpretation?
- What may the system do, and what may it only prepare?
- Which actions always require approval, and from whom?
- Which cases must stop or go to a person?
- What is the manual fallback when a source or tool is unavailable?
- Which realistic examples will prove the system is ready?
How to start
Choose one frequent, bounded job with identifiable inputs and a person who owns the result. Capture a baseline, test common and difficult examples, and begin with review before any material action.
A useful first discussion should produce a job statement, a list of inputs and permitted actions, the approval and exception rules, and a test set. Those details show whether the work needs an agent, a workflow, or a smaller process change.
Official source
OpenAI’s guardrails and human review guide explains how validation and human approval can pause or stop tool actions at the point where they occur.
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