Agentic process automation puts a named AI agent inside a business process: the agent reads each request, checks it against your written rules, drafts the outcome, and hands the exceptions to the person who owns them. The 18 processes below are ready to copy — approvals, intake, incidents, compliance, close. Describe your own instead in Taskade.
What is agentic process automation?
Agentic process automation is the use of a persistent AI agent — one that carries its own knowledge, memory, and tools between runs — as a decision step inside a business process, so the process can handle its exceptions instead of breaking on them.
A rule-only automation moves data between apps on a fixed path. It is excellent at the happy path and useless the moment something does not match. An agentic process adds judgment at exactly that point: the agent classifies what arrived, compares it against your policy, writes the reasoning down, and escalates only what a rule cannot settle.
Three things separate it from a rule-only workflow:
- A named agent, not a one-off model call. The step points at a custom agent that keeps its knowledge and its memory between runs, so run 400 is better informed than run 1.
- An explicit review step. Every process on this page ends in one: the agent reads the case against your rules and hands its draft to the owner, so a person signs off with the reasoning already attached instead of reconstructing it.
- A human owner for the decision that matters. The agent drafts, checks, and routes. A person approves, declines, or overrides.
How is this different from a rule-only workflow?
A rule-only workflow answers "did this match?". An agentic process answers "what should happen, and who needs to know?".
The mechanical difference is memory. A stateless step forgets everything the moment it returns, so it cannot tell you that this supplier has been late three times, or that this cost centre already spent its quarter. An agent step keeps that history, which is what lets a process get stricter, faster, or more forgiving over time without anyone rewriting a rule.
| Rule-only workflow | Agentic process | |
|---|---|---|
| Decision | Field matches a condition | Agent weighs the request against your policy |
| Exceptions | Stop the run | Route to a named owner with the reasoning |
| Memory | None between runs | Carried by the agent |
| Change | Edit the rule | Update the agent's knowledge |
| Ownership | Whoever notices | Assigned at the moment of escalation |
Which processes belong on this page?
Any repeatable process with a written rule and a real exception path. The 18 below cover the ones most businesses run every week: request intake, invoice approval, purchase requests, incident response, change requests, employee onboarding and offboarding, expense review, contract review, vendor SLA checks, customer escalation, refund review, quality checks, capacity planning, month-end close, compliance evidence, approval escalation, and new account approval.
Each one names its trigger, its actions, and the agent that sits between them.
Who is agentic process automation for?
Operations, finance, people, support, and compliance teams — anyone who owns a process that runs constantly, has a policy behind it, and currently spends its time on the 10% of cases that do not fit the form.
It is not for teams who want the software to decide. Every process here keeps a human on the high-impact decision, because that is both the honest design and the one that survives an audit.
How do you build one?
- Pick the process below that is closest to yours and open it.
- Click Build this flow with AI to have Taskade wire the trigger, the steps, and the agent.
- Give the agent its knowledge — the policy document, the limits table, the checklist it must apply. See custom agents.
- Point the exception step at the person who really owns the decision.
- Turn the automation on and read the first week of reasoning before you widen the rules.
Where do you go next?
- Agentic Automation — the narrative hub. Read this first if you want the concept rather than a recipe.
- Agent-Powered Automations — flows organized by what the agent does.
- Workflow Automations — the multi-step chains behind these processes.
- All automation categories — every category on the site.
- AI Agents — build the agent that sits inside these processes.
