Agentic vs traditional automation
RPA follows fixed rules and breaks when inputs vary; an agent decides the steps and adapts. You gain flexibility for complex work but trade away the full predictability that makes rule-based automation easy to govern.
The determinism trade-off
Rules are predictable and auditable; agents are adaptable but harder to constrain. Choose rules for stable, well-defined tasks and agents for variable ones, and add governance in proportion to autonomy.
The right tool depends on the work. If a process is stable and fully specifiable, rule-based automation is cheaper, safer, and easier to audit. If it is variable enough that rules would explode into thousands of edge cases, an agent earns its keep, delivering the 25–40% resolution-time gains seen in service and IT ops, provided you govern the autonomy it needs.
Frequently asked questions.
Should I replace my RPA bots with agents?
Not by default. Keep rule-based automation for stable, well-defined tasks where determinism is an asset. Introduce agents where variability makes rules brittle, and pair them with governance rules never required.