Where traditional RPA wins
Robotic process automation is strong when the path is fixed: same fields, same screens, same order every time. If a vendor portal never changes and the rule book is complete, a bot can be cheaper and more predictable than an LLM.
RPA struggles when layouts change, PDFs vary, or employees ask for something in plain language. Those are the failure modes that drive “bot farms” and brittle maintenance.
Where AI workflow automation wins
AI agents can extract and classify information from invoices, contracts, and emails; draft next steps; and route work across CRM, ERP, and spreadsheets with approvals built in.
The advantage is flexibility—not magic. You still need mapped workflows, evaluation sets, and ownership. Agents that act without audit trails create risk, not leverage.
A simple decision rule
If the bottleneck is clicking through known screens, start with RPA or native integrations. If the bottleneck is reading unstructured content, reconciling messy data, or turning requests into multi-step work, prioritize AI workflow automation.
Hybrid designs are common: an agent proposes an action; RPA or an API executes it after human approval.
How FocusKPI approaches Automate Work
We map the workflow with your team first, then automate with human-in-the-loop at critical steps, integrating tools you already use. For many teams, Qurio covers operational automation out of the box; enterprises that need private deployment get a custom path.