What is agentic process automation?
Agentic process automation is the use of AI agents to automate business processes, including the steps that require reading and judgment. Earlier tools follow fixed rules on structured data. When an invoice lacks a purchase order number or an email asks two questions at once, they send the case to a person. An agent can read the document, decide what to check next, and either resolve the case or prepare it for a quick human decision.
The term comes mostly from the robotic process automation market, where it describes adding agents to existing bot programs. Each automated process is usually built as an agentic workflow. Fixed steps run as ordinary code or existing bots, agents handle the variable steps, and an orchestration layer tracks every case, enforces approvals, and keeps the log.
Why agentic process automation matters
In many back offices, the clean cases are already automated and the remaining manual hours go to exceptions. Those exceptions require reading contracts, emails, and notes, which rule-based tools cannot do. Agentic process automation targets that remainder. It also changes the control model. When an agent prepares a payment or a credit, the company still needs approval limits, segregation of duties, and an audit trail that shows who decided what.
Agentic process automation in practice
A mid-sized manufacturer’s accounts payable team already posts invoices automatically when they match the purchase order and the receipt. The rest land in an exception queue: price differences, short shipments, missing receipts, and invoices with no purchase order. An agent works the queue. For a price difference, it checks the supplier agreement. If no increase was agreed, it drafts a credit request to the supplier. If one was, it drafts a note asking the buyer to update the purchase order. For a missing receipt, it opens a ticket with the receiving dock. A clerk approves every posting and every message to a supplier.
Kirk Tech Solutions typically starts with one process whose exception volume and handling time are already measured. The agent runs under its own identity, so the audit log separates its actions from those of staff.
What to watch for
- Redesign approval limits and segregation of duties so they still hold when an agent prepares the transaction.
- Keep matching, arithmetic, and posting in deterministic code, and use the agent only where reading or judgment is required.
- Ask how a reviewer sees the evidence behind each agent decision, such as the documents and records it consulted.
- Plan for ongoing upkeep of prompts, tools, and test cases as suppliers, systems, and policies change.