AI agent, RPA or copilot: what each one does and when to use it
All three promise to save time, and they do very different things. A short guide to choosing: what each one solves, where it breaks, and what to ask before you buy.
Three words get used as if they meant the same thing, and they don't. Choosing wrong costs months: an RPA project that breaks every time a screen changes, or a copilot nobody uses because the work is still yours.
RPA: it repeats clicks
RPA (robotic process automation) records a sequence of steps on screens and repeats it. It's excellent when the process is always the same, the screens don't change and there's nothing to decide: copying data from an old system to another, downloading a report every day at the same time.
It breaks when something changes: a new field, an email worded differently, an exception nobody foresaw. And almost all office work is full of exceptions.
Copilot: it suggests while you work
A copilot lives inside your tool and helps you do your work faster: it drafts, summarizes a meeting, proposes a formula. It's useful, and it's personal: it speeds up whoever uses it.
Its limit is that the work is still yours. You have to open it, ask, review, copy and paste. If your team chases forty invoices every week, a copilot makes each one take fewer minutes, but someone is still chasing forty invoices.
Agent: it does the whole job
An agent gets a job, not an instruction: "chase the overdue invoices". It reads what it needs in your systems, decides what to do with each case by your rules, acts (writes to the customer, records the promise to pay, tells finance) and asks you before anything that matters.
What sets it apart:
- It works without you opening it. It starts on request, on a schedule, when something happens or when a number crosses a threshold.
- It handles exceptions. It reads an email written any which way and understands what it asks for. What it can't resolve, it asks about.
- It has limits. Which tools it uses, how much it may spend and how much autonomy it has, always within your company's policy.
- Someone answers for it. It has an owner and approvers.
Its risk is the opposite of the copilot's: it does things. That's why how it earns autonomy matters so much, and we explain it here.
How to choose
- If the process is identical every time, on screens that don't change and with no decisions: RPA may be enough.
- If you want each person to work faster on their own tasks: a copilot.
- If you want a job that repeats to stop being someone's job: an agent.
They aren't mutually exclusive. Many companies have a copilot in the office and an agent that takes care of the work that repeats.
Five questions before you buy an agent
- What does the agent do without asking on day one? The right answer: read, nothing else.
- How does it earn autonomy, and what happens when it gets something wrong?
- Where do my people approve? If the answer is "on one more platform", approvals will run late.
- What is on the record, and can I export it?
- What happens when a better model ships? If the answer is a migration project, you're buying a model, not a platform.
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