I'm trying to justify a budget upgrade. We currently use standard bots for data entry, but I’m being told we should switch to AI Agents & Automation. Can someone explain if agents are truly better at handling "unstructured" data, or is that just marketing fluff? We deal with a lot of varying invoice formats and traditional RPA keeps breaking whenever a vendor changes their layout.
3 answers
Agents are "thinkers," while RPA bots are "doers." You want a hybrid of both for a truly efficient back office.
The difference is night and day when it comes to flexibility. Traditional RPA is essentially a recording of clicks; it's "fragile" because it relies on exact UI elements. If a button moves two pixels, the bot fails. Modern agent-based systems use Computer Vision and Large Language Models to "understand" the page. If a vendor changes an invoice layout, an agent doesn't care because it’s looking for the concept of a "Total Due" rather than a specific coordinate. It saves a massive amount of maintenance time and reduces the need for constant script updates
How much more does the token cost for LLM agents add up compared to the flat license fee of RPA?
It depends on your volume, Kevin. While tokens have a cost, you have to factor in the "Bot Maintenance" cost of RPA. If your RPA developer spends 10 hours a week fixing broken scripts, that salary cost usually far outweighs the few dollars spent on tokens for a more resilient agentic system.
Exactly, Lisa. Using RPA for the "brawn" of moving files and AI agents for the "brain" of interpreting them is the winning strategy.