RPA vs AI Agents: Which Automates Your Back Office?
RPA automates clicks. AI agents automate judgement. Most back offices need both, and the mistake is using either one for the other’s job.
- Published
Side by side
| RPA | AI agent | |
|---|---|---|
| Handles | Fixed, rule-based steps | Variable inputs needing interpretation |
| Input types | Structured screens and fields | Emails, documents, free text, images |
| When the screen changes | Breaks | Adapts with APIs or computer use |
| Predictability | Very high | High with evals and guardrails |
| Best for | Stable, high-volume data entry | Triage, extraction, exception handling |
How they work together
- An AI agent reads an incoming email and attachment, classifies it and extracts the data.
- Validation rules check the extracted data.
- A deterministic step — API call or RPA bot — enters it into the system.
- Exceptions go to a person with the agent’s summary.
Choosing
If the process is fully rule-based and the systems are stable, RPA or a plain API integration is cheaper and more predictable. If the inputs vary — different document layouts, free-text requests — you need AI for the understanding step. Wherever an API exists, prefer it over screen automation of either kind.
Frequently asked questions
Should we replace our RPA bots?
Not wholesale. Replace the ones that break constantly or that handle variable inputs poorly.
Are computer-use agents a replacement for RPA?
For low-volume, variable tasks on systems without APIs, they can be. For high-volume stable tasks, RPA or APIs are cheaper.
What does a combined automation cost?
A single-process automation is typically $12k–$25k; cross-system reconciliation $25k–$45k.
