Kentron AI vs traditional RPA tools
RPA tools are strong at repeating an exact sequence of clicks and fields against a stable interface. They struggle with anything that requires judgment, and they're built to replay a recording, not to reason about what changed or explain a decision after the fact.
Where Kentron AI differs
- Agents handle variation and judgment calls, not just a fixed recorded sequence
- Connects through APIs and a governed gateway, not brittle UI automation
- Every decision an agent makes is logged with its reasoning, not just the click trail
When RPA is still the right choice
For a truly fixed, high-volume process against a UI that never changes, RPA's simplicity and maturity are hard to beat. It's a weaker fit once the task needs judgment or the interface it depends on changes often.