AI agents vs traditional RPA vs hiring someone
If your team is drowning in repetitive computer work, you have three real options: an AI agent, traditional RPA software, or hiring a temp to do the keying. None is automatically right. Here's an honest comparison so you can decide.
Hiring a temp or an admin
A person handles nuance well and needs no setup. But they're the most expensive option per hour, only work the hours you pay for, and you carry the recruitment, training, holiday and turnover overhead. For repetitive keying, you're paying a skilled rate for unskilled work — and the moment they leave, the knowledge leaves with them.
Traditional RPA
Classic robotic process automation records a fixed sequence of clicks and replays it. It's fast and cheap to run once built — but it's brittle: it follows exact screen positions, so when a website or system changes its layout, the bot breaks and needs a developer to fix it. Setup is also heavyweight, which is why traditional RPA has mostly stayed in large enterprises with teams to maintain it.
An AI agent
An AI agent operates your software like a person, but it uses AI to understand the screen rather than memorising pixel positions — so it adapts to ordinary changes instead of breaking, and it can handle variation a fixed macro can't. It runs at machine speed and cost, keeps an audit trail, and flags anything it isn't sure about to a human. The honest trade-off: it's a newer approach, and for genuinely complex or sensitive judgement you'll still want a person — which is why good setups route those cases out automatically.
How to choose
If the work genuinely needs human judgement, keep a person on it. If you have a high-volume, rock-stable process and a team to maintain bots, traditional RPA can work. If you want to clear repetitive computer work that spans changing websites and systems — without a developer babysitting it — an AI agent usually wins, often alongside your team rather than instead of it.
Whatever you pick, decide it against your real workload and what it's actually costing you, not a sales pitch.
Common questions
How is an AI agent different from traditional RPA?
Traditional RPA replays fixed clicks and breaks when a screen changes. An AI agent uses AI to understand the screen, so it adapts to ordinary changes and handles variation a fixed macro can't.
Is it cheaper than hiring?
Usually for repetitive volume, because it runs at machine cost and doesn't carry recruitment or turnover overhead — but it depends on your numbers, which is why it's worth scoping properly.
Can I use an agent and people together?
Yes, and most teams should — the agent handles the repetitive volume and routes anything complex or sensitive to a person.
If this is the constraint you want removed, the next step is an application.