Comparison

Agentic AI vs RPA for production workflows

A clear comparison of agentic AI and RPA for production workflows, governance, and operational readiness.

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Production Signals
Reference only
67% Cycle Time Reduction (target)
94%
Accuracy Rate (target)
$ 1.2 M
Annual Savings (target)
4-6 wks Target to production
3 Approval gates
100% Audit traceability

Reference data shown for format only. Results vary by workflow, data access, and approvals.

Where RPA works best

Where RPA works best

  • Stable, UI-driven steps with minimal data variability.
  • Low ambiguity and minimal exceptions.
Where agentic AI wins

Where agentic AI wins

  • High-variance knowledge work
  • Multi-system data synthesis
  • Human-in-the-loop approvals
  • Audit-ready decisions
Decision filter

Decision filter

  • If the workflow needs judgment, citations, or approvals, agentic AI is the better fit.
  • If it is deterministic and UI-bound, RPA can be effective.

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