AI agents
AI Agents
How an AI agent differs from ordinary automation, when one is the right choice, and how to keep it safe. Agents can do a great deal, which is exactly why they need clearer limits than ordinary automation.
Automation and Agents Are Different Things
An ordinary automation follows a path someone designed in advance: step one, then step two, with known branches. An agent is given a goal and a set of tools, and decides the steps itself, choosing what to look at and in what order as it goes.
That flexibility is both the strength and the risk. Agents handle varied, untidy work that is hard to draw as a flowchart. They are also less predictable, so they need tighter limits on what they are allowed to do.
When an Agent Is the Right Choice
When an Agent Is the Wrong Choice
A common mistake is to reach for an agent because it sounds more advanced. If work can be written as a fixed sequence, ordinary automation will do it more reliably.
Tools Are Permissions
An agent can only act through the tools it is given, and each tool is a permission. The safest agents have as few as possible. Give read access before write access, preparing before sending, and never give an agent a tool whose worst possible use you would not accept.
Approval Points
Design the places where a person must say yes before the agent continues. Typical approval points are before anything leaves the business, before money moves, and before records are changed or removed. The approval request should show exactly what the agent intends to do and why, so a person can decide in seconds rather than investigating.
Our agents do the work; a human approves anything that reaches a customer or a prospect.
Keeping a Record
Because an agent chooses its own steps, a record of those steps matters more than with a fixed automation. For each task you should be able to see what it looked at, what it decided, what it produced and who approved it. That record is how mistakes are found and fixed, and how confidence is built to give the agent more to do over time.
Start with Agents That Prepare
Begin with an agent that only prepares work: it gathers and drafts, and a person does everything else. Watch how often its work is accepted unchanged. Once that rate is consistently high for a kind of task, consider letting it do more, still with approval on anything that cannot be undone.
Several Agents Working Together
Larger pieces of work are sometimes split between several narrow agents, each with its own job and tools, passing work between them. This keeps each agent simple and its permissions small. It also makes the hand-offs visible, so a person can see where work is waiting and why.
How an Agent Decides What to Do
An agent is given a goal, some tools and a set of instructions. It reads the situation, chooses a step, sees the result and chooses the next step. That loop is what lets it handle work that does not follow a fixed path, and also what makes clear limits essential.
The quality of an agent depends heavily on its instructions and tools. Vague instructions produce unpredictable behaviour, and tools with broad permissions create unnecessary risk. Narrow tools and precise instructions make an agent easier to trust and easier to check.
Tools and Permissions
Each tool an agent can use is a door into a business system. Give it only the tools it needs for its job, and give each tool only the permissions it needs. An agent that drafts replies does not need the ability to delete records or change prices.
Separate reading from acting. Letting an agent look up information is far less risky than letting it change something. Actions that change records, spend money or reach customers should require approval, at least until the agent has a long record of getting them right.
Keeping a Record of Every Step
Because an agent chooses its own steps, a record of what it did and why is essential. Each step should be logged with the information it used and the result it produced. When something goes wrong, that record turns guesswork into a quick diagnosis.
Records also build confidence over time. Reviewing a sample of an agent's work each week shows where it is reliable and where it needs better instructions. Decisions about giving it more responsibility can then be based on evidence rather than impressions.
Agents Working Alongside People
Agents work well as assistants that prepare work for people to finish. An agent can gather information, draft a response and suggest a next step, leaving the decision to someone who understands the full situation. The person stays responsible, and the preparation time disappears.
Make the hand-over between agent and person smooth. The person should see what the agent found, what it suggests and why, in a form that takes seconds to review. If reviewing takes as long as doing the work, the design needs another look.
Talk It Through with Us
We start with a free, no-obligation process audit of one workflow. It looks at how the work is done today, where time is lost and which parts should stay with a person. The result is a clear picture of whether automation makes sense, and where to begin.