What RPA actually is
RPA is the use of software robots to automate rule-based, repetitive work that would otherwise be done by humans clicking through user interfaces — moving data between systems, filling forms, generating reports, reconciling files. It is most useful where APIs are missing or where modifying the underlying systems is prohibitively expensive.
RPA versus AI automation
RPA handles deterministic work. AI automation handles ambiguity. The mature pattern is RPA for the rule-based plumbing and AI automation for the cognitive layer on top — with a clean workflow engine orchestrating both.
Where it breaks
RPA bots break when user interfaces change. Production-grade RPA programs invest heavily in monitoring, exception handling and a roadmap to replace bots with real APIs over time.
Benefits
- Fast automation of legacy desktop workflows
- No need to modify underlying systems
- Reliable execution on stable interfaces
- Bridge while real APIs are being built
- Pairs well with AI automation for ambiguity
When it matters
When a process is repetitive and high-volume, but the underlying systems can't be modified in the timeframe required. RPA is a serious bridge; it is rarely the long-term architecture.