RPA
Software robots that mimic a person’s clicks and keystrokes to repeat a rule-based task across applications.
- Structured input in known places
- Every decision written as a rule
- Exceptions go to a person
- Exact and fast while nothing changes
Guide · Agentic workflows
Agentic process automation vs RPA: scripted clicks, or a process that can read and judge.
RPA repeats rule-based steps exactly. Agentic process automation runs the same process with AI agents inside it — reading documents, making bounded decisions and handing exceptions to people — and still uses robots where exact repetition is right.
Vendors present agentic process automation as the next stage after RPA, and Gartner warns that many “agentic” products are RPA rebranded. Both points hold. This guide defines each from standards and vendor documentation, shows how each runs a process, what breaks a bot and how an agent handles it, and how to move from one to the other without discarding what works.
Updated · 8 sources
Agentic process automation, layer by layer
01
Peopleapprove the risky steps, handle what the process cannot
review02
Process orchestrationthe fixed order: triggers, steps, branches, review stages
workflow03
AI agents and decisionsread documents and email, judge within bounds, draft
agentic04
Robots and APIsexact, repeatable actions in applications
RPAAPI05
Systems of recordERP, CRM, core banking, claims, mailboxes
systemsWhat is the difference between agentic process automation and RPA?
RPA (robotic process automation) uses software robots to repeat rule-based steps in applications — reading fields, applying predefined rules, typing into screens — and hands every exception to a person. Agentic process automation (APA) runs a whole process with AI agents inside it: agents read unstructured input, make bounded decisions and plan steps, while robots and APIs still carry out exact actions and people approve the rest. In agentic process automation vs RPA, RPA automates tasks that never vary; APA automates processes whose inputs do.
Side by side
Agentic process automation vs RPA, compared on eight points.
IEEE’s standard defines RPA as preconfigured software that uses business rules and a predefined choreography of activities, “with human exception management”. Automation Anywhere describes APA as goal-driven AI agents that orchestrate existing RPA and intelligent automation rather than replace them. The rows follow from those definitions.
Agentic process automation
A process run by orchestration, with AI agents for reading and judgement, robots and APIs for exact actions, and people for approval.
- Documents, email and free text
- Bounded decisions with a confidence
- Exceptions triaged before a person sees them
- Tolerates new formats and wording
A taskUnit automatedA process
Structured, in fixed positionsInputStructured and unstructured
Predefined rules onlyDecisionsRules, plus AI judgement where placed
The bot breaks until re-recordedWhen the screen or format changesAgent steps read the new form; robots still need care
Queued for a person, as foundExceptionsRead, classified and prepared for a person
Same input, same resultPredictabilityFixed order; AI steps vary within bounds
Logs of actionsAuditEvery step, decision and approval on one record
Re-run the recorded stepsTestingMeasure AI steps against known cases
From rules to judgement
From RPA to intelligent automation to agentic process automation.
The three are stages, and each keeps the one before. IEEE’s 2755 standards treat RPA as one member of a wider family of software-based intelligent process automation, alongside AI and machine learning; Automation Anywhere describes IPA as RPA with AI added, and APA as agents that orchestrate both.
Rules decideAgents decide within bounds
12345
- Scripts and macrosCode in one application. No screens, no judgement.
- RPARobots work across applications through their screens, following rules.
- Intelligent automationRPA plus machine learning: OCR, classification and extraction feed the robot.
- Agentic process automationAgents read, decide and plan inside a defined process; robots and people do their parts.
- Autonomous agentAn agent directs the whole task itself, with no fixed process around it.
RPA stays for exact, regulated steps. UiPath’s agent documentation says tasks with high accuracy, legal, financial or regulatory constraints “should continue to rely on deterministic automation”, and Automation Anywhere writes that APA “doesn’t replace RPA and IPA; it orchestrates them”. The change is what runs the process, and what handles the parts rules cannot.
Mechanics
How a robot and an agentic process each handle an incoming invoice.
Same invoice, same ERP. The robot follows a recorded path; the agentic process uses an agent where the invoice must be read and a decision where a rule cannot decide, and keeps a robot or API for the posting.
RPA
- Open
The bot opens the PDF and the ERP screen.
- Read fields
Takes values from fixed positions or an OCR template.
- Apply rules
If the total matches the order within tolerance, continue.
- Type
Keys the values into the ERP, field by field.
- Exception
Anything unexpected goes to a person’s queue, as it is.
Agentic process automation
- Trigger
The invoice arrives; the process starts on its own.
- Read
An agent extracts supplier, totals and lines, whatever the layout.
- Match
Code matches the order exactly; sums stay in code.
- Decide
A bounded decision: pay, hold or reject, with a confidence.
- Post or review
An API or robot posts it; unsure or risky cases go to a person with the evidence.
Where RPA struggles
Four changes that break a robot, and how an agentic step absorbs them.
RPA is exact because it assumes nothing changes. OpenAI describes a rules engine as working “like a checklist”, and an agent as working more like an investigator. These are the cases where the checklist runs out.
01document
A new layout
A supplier redesigns its invoice. The template misses fields; an agent step reads the new layout.
02language
Free text
The request arrives as an email in the customer’s own words. Rules cannot parse intent; an agent can.
03decision
A judgement call
Is this damage covered? A rule needs every case written; a bounded decision weighs the evidence.
04exception
An odd exception
A missing order or a duplicate. An agent gathers the facts first, so the person decides with them in front of them.
Screens still change. When a robot drives an application’s screen, a redesigned screen still breaks the robot. Calling the application’s API instead of its screen removes that fragility, agentic or not.
Decision matrix
Agentic process automation vs RPA: which fits each step.
Decide step by step, not process by process. Two questions settle most steps: is the input structured, and can every decision be written as a rule?
Judgement needed
Rules plus one decisionCredit limits, tolerances with exceptions: keep the rule, add a bounded AI decision for the grey zone.APA decision step
Agent stepClaims, disputes, contract review: an agent reads and proposes; a person approves the risky outcomes.APA agent step
Rules decideRPA or APICopying fields between systems, scheduled reports, reconciliations with exact rules.RPA
Extraction, then rulesInvoices and forms: an AI step reads the document into fields; rules and robots take it from there.intelligent automation
Structured inputUnstructured inputBuyer’s check
Telling agentic process automation from rebranded RPA.
Gartner names the problem “agent washing”: assistants, chatbots and RPA relabelled as agents. Its June 2025 forecast pairs high expectations with a high cancellation rate.
Questions that separate the two
- Does it read new formats?Show it a document layout it has never seen. Rebranded RPA needs a new template.
- Does a decision come with a confidence?And does a low one route to a person, by design?
- Where are the rules?Exact checks belong in code; ask which steps are AI and which are rules.
- Who approves what?Approval should sit at named steps, by role, on the record.
- How is it measured?AI steps tested against known cases before release, and after each change.
- What happens to my bots?Existing robots should run as steps, not be thrown away.
On Botminds
How Botminds runs agentic process automation with your robots inside.
On Botminds a process is an XFlow: fixed steps on a canvas, with an agent or a typed decision exactly where judgement is needed, a review stage where a person must decide — and your robots as steps.
| RPA | Botminds agentic workflow | |
|---|---|---|
| Who decides the next step | The script | The workflow; AI decides inside a step |
| Unstructured input | Breaks on it | Agent and decision steps read it |
| A judgement call | A rule, or a person | A typed decision; below 0.70 confidence it is marked unsure and routed to a person |
| A person’s approval | Outside the bot | A review stage between flows, with roles |
| Audit | Logs of clicks | Every run, every step, every move by a person |
| Testing | Re-record the bot | Golden datasets per agent step and per workflow |
| Your existing bots | — | Run a Botminds RPA bot as a step, or call your bot platform through an API step |
Coming from an RPA platform? See how Botminds compares with UiPath and Automation Anywhere, read agentic workflows, and try the invoice settlement lesson in the Academy.
Questions people ask
Agentic process automation vs RPA: common questions.
The technology behind itAgentic workflowsFixed steps, AI where judgement counts→What is the difference between agentic process automation and RPA?
In agentic process automation vs RPA, RPA uses software robots to repeat rule-based tasks on structured input and sends exceptions to people. Agentic process automation runs the whole process with AI agents for reading and bounded judgement, robots and APIs for exact actions, and people for approval.
What is agentic process automation (APA)?
APA is automation that orchestrates AI agents, software robots and people in one process. Agents handle documents, free text and judgement calls; robots and APIs carry out exact steps; people approve at defined points.
Will agentic AI replace RPA?
Not for exact, stable tasks. Vendors including UiPath advise keeping high-accuracy, financial and regulatory steps on deterministic automation. Agents take over the parts RPA handles poorly: unstructured input, judgement and exceptions.
What is the difference between RPA, IPA and APA?
RPA follows rules on structured data. Intelligent process automation adds machine learning — OCR, classification, extraction — to feed the robots. Agentic process automation adds agents that reason and decide within a defined process.
Is RPA still worth using?
Yes, where input is structured and rules are stable: data transfer between systems, scheduled reports, exact reconciliations. Where an application offers an API, calling it is usually more robust than driving its screen.
How do I move from RPA to agentic automation?
Keep the bots that work and run them as steps of a process. Replace templates and rule tangles with agent steps and bounded decisions where input varies, add review stages for people, and measure each AI step against known cases.
What is agent washing?
Gartner’s term for relabelling chatbots, assistants and RPA as agentic AI without real agentic capability. Gartner estimated in 2025 that about 130 of thousands of vendors offered the genuine article.
Is agentic process automation safe for regulated processes?
It can be, when exact checks stay in code, AI decisions carry a confidence and route doubtful cases to people, approvals sit at named steps by role, and every step is recorded and tested.
Sources
- IEEE: the 2755 standards for software-based intelligent process automationstandards.ieee.org
- Wewerka and Reichert: Robotic Process Automation, a systematic literature review (2020; quotes the IEEE definition)arxiv.org
- UiPath: What is robotic process automation?uipath.com
- UiPath documentation: About UiPath agentsdocs.uipath.com
- Automation Anywhere: RPA vs IPA vs APAautomationanywhere.com
- Automation Anywhere: What is agentic process automation?automationanywhere.com
- OpenAI: A practical guide to building agentscdn.openai.com
- Gartner: over 40% of agentic AI projects will be canceled by end of 2027 (June 2025)gartner.com
Read next
AI workflow vs AI agentFixed steps with AI inside, or a model that picks its own steps→Agentic workflow examplesNine real processes, each drawn step by step, across six industries→Agentic AI vs generative AIHow AI that writes becomes AI that acts, and what that adds→Multi-agent system architectureThe parts, patterns and protocols of systems with many agents→All guidesEvery explainer, by topic→
See it on
your own work.
Bring one process and its documents. We’ll show you the agents, the controls and the record, running on your data.