What is agentic process automation, and how is it different from RPA?
Agentic process automation uses AI agents that can read, classify and decide on unstructured inputs - emails, invoices, requests - inside a deterministic workflow with explicit policy rules. Traditional RPA replays recorded UI steps and breaks when inputs or screens change; classic workflow tools move data between apps but can't make judgment calls. Agentic automation combines the two: agents for judgment, workflows and policies for control.
| RPA | Workflow tools | Agentic process automation | |
|---|---|---|---|
| Handles unstructured input | Poorly | No | Yes |
| Breaks when screens change | Often | No (uses APIs) | No (uses APIs and agents) |
| Makes judgment calls | No | No | Yes, within policy |
| Predictable and auditable | Yes | Yes | Yes, when workflow and policy are separate from the agent |
| Desktop / legacy apps | Strong | No | Limited |
The four layers of a well-built agentic worker
- Workflow - the deterministic controller that fixes the steps.
- Agent - the reasoning inside specific steps (read, extract, classify, decide).
- Policy - versioned rules for what's allowed, e.g. approval thresholds.
- Connector - the bridge to ERP, CRM, email and spreadsheets.
When to use which
Use RPA for legacy desktop applications with no API. Use a workflow tool (Zapier, Make, n8n, Mono Agent) for rule-based data movement between apps. Use agentic process automation when the process involves reading documents or messages and making decisions that used to need a person.
Frequently asked questions
Is agentic automation safe for finance processes?
It is when the agent can only act inside steps the workflow gives it, policy rules are deterministic and versioned, and important actions need human approval until accuracy is proven.