Introduction
AI agents are becoming an increasingly visible part of business technology. They can work through multiple steps, use different applications and, within defined limits, take actions on behalf of a business. For a small business, that opens up interesting possibilities. But it also raises an important question: When is an AI agent actually the right solution? The answer depends less on how advanced the technology is and more on the work the business needs to accomplish.
Where can agents create the most value?
One of the more interesting opportunities for AI agents lies in the work that happens between individual activities. In many businesses, the difficulty involved in different tasks lies in interpreting information, recognising what's missing, deciding what should happen next, and coordinating the work across different people and applications.
These activities often involve exceptions that conventional automation struggles to accommodate. A customer provides incomplete information. A supplier changes a delivery date. Two records contradict one another. Someone needs to determine the appropriate next action.
This is where an AI agent may offer something genuinely different: the ability to respond to variation within defined boundaries, rather than following exactly the same sequence every time. But that capability is only valuable when the flexibility is needed, the information is reliable, and the resulting work can be adequately supervised.
Consider a small engineering business
Imagine an eight-person engineering company receiving customer enquiries by email, often accompanied by technical drawings and specifications. Preparing a response involves reviewing the information, identifying missing details, finding comparable previous jobs and determining who should handle the enquiry.
There are several ways the business might improve this process.
Improve the existing process. A shared enquiry register, consistent filing structure and clear responsibilities could make enquiries easier to manage without introducing any new technology.
Introduce automation. An existing application might automatically record an enquiry, assign a reference number and notify the appropriate team member.
Use AI assistance. An AI tool could help summarise specifications or prepare a draft response for someone to review.
Consider an AI agent. An appropriately configured agent could review incoming documents, identify missing information, retrieve relevant records, prepare a response and route it for approval.
The agent offers a broader capability, but the simplest approach that solves the problem may deliver better value.
When does an agent become worthwhile?
An agent becomes more attractive when a task requires several connected activities and some flexibility in deciding how to complete them. For example, a business may need to interpret different document formats, retrieve information from several applications, handle exceptions and produce a consistent outcome.
If those activities occur regularly, take considerable effort and cannot be handled adequately through simpler methods, an agent may be worth investigating. However, the cost of the agent is only part of the calculation. Configuration, subscriptions, information access, testing, exception handling and ongoing oversight all require attention.
A task that takes ten minutes to complete manually may not justify an agent that requires extensive checking and maintenance.
The system needs to be ready
An agent operates within the business system that already exists. If customer records are inconsistent, responsibilities are unclear or information is scattered across disconnected locations, an agent may encounter the same difficulties as the people using those systems.
Before introducing one, it helps to understand:
The work: What is the task, and what outcome should it achieve?
The information: Where does reliable information come from?
The connections: Which applications and records need to be accessed?
The authority: What can the agent do independently, and what requires approval?
The value: Does the expected improvement justify the cost, effort and operational risk?
These considerations are important for any technology improvement, but become particularly significant when software is allowed to act on behalf of the business.
Using AI to evaluate and improve agent-based work
AI can also help small businesses explore whether an agent is appropriate before committing to implementation. For example, it can analyse a described workflow, identify activities that might benefit from agent-based coordination, suggest boundaries for independent actions and help develop test scenarios for unusual situations or failures.
Once an agent is introduced, AI can assist with reviewing appropriately prepared performance records, examining recurring exceptions and suggesting improvements to its instructions or workflow.
However, these recommendations require human verification. The business remains responsible for approving changes, testing behaviour, controlling access and ensuring that the agent operates within its authorised boundaries.
AI can help businesses design and refine agents, while well-managed processes, reliable information, and clear controls provide the foundations agents need to operate effectively.
Start with a contained task
A small, supervised trial is often more useful than attempting to automate an entire business process immediately. For the engineering company, an initial agent might retrieve relevant documents and draft an enquiry summary, leaving all customer communications and commercial commitments to a person.
The business could assess accuracy, completeness, review effort and handling of unusual enquiries before considering additional responsibilities. Permissions should be limited to what the task requires. Significant actions, particularly those involving payments, sensitive information or commitments to customers, should remain subject to appropriate human approval.
The objective is to determine which parts of the work technology can support reliably.
The right level of technology
AI agents can provide valuable capabilities, particularly where work involves interpretation, multiple systems and variable decisions. But not every business needs one, and not every process benefits from becoming more autonomous.
Sometimes the best improvement is a clearer process. Sometimes it is an application feature already included in an existing subscription. Sometimes AI assistance or automation is sufficient. And sometimes an agent genuinely adds something those approaches cannot.
The starting point should always be what the business is trying to achieve, rather than which technology it wants to adopt.
Scaling It helps small businesses understand how their technology, information and processes work together, explore practical improvements and develop a guided path for putting them into practice.
Better systems. Stronger businesses.
