AOC AI Operating Core
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AI Operating Core · 2026

RPA vs AI agents: what fits?

RPA helps when old systems can only be operated through the screen.

Short answer

RPA clicks and copies like a person in fixed interfaces. AI agents are better at text, exceptions, and unstructured inputs. Many projects need both with clear limits.

What to check

Old interface

Old interface is treated as a separate check point: value, data, effort, control, and error handling need to fit together.

No API

No API is treated as a separate check point: value, data, effort, control, and error handling need to fit together.

Text understanding

Text understanding is treated as a separate check point: value, data, effort, control, and error handling need to fit together.

Exceptions

Exceptions is treated as a separate check point: value, data, effort, control, and error handling need to fit together.

Log

Log is treated as a separate check point: value, data, effort, control, and error handling need to fit together.

Typical limits

  • Fragile click pathsFragile click paths should be clarified before the start so that the test works not only technically but also in daily operation.
  • Unclear exceptionsUnclear exceptions should be clarified before the start so that the test works not only technically but also in daily operation.
  • No monitoringNo monitoring should be clarified before the start so that the test works not only technically but also in daily operation.

Next step

The integrations page helps separate API, RPA, and agents.

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FAQ

Start with a repeated process where time, money, or control is visibly lost.

No. The first step can focus on one clear process and the most important data sources.

It organizes information, prepares text or decisions, and shows open points.

A person decides on exceptions, risks, approvals, and all cases marked as critical.