Best Process Automation Software for 2027: 5 Tools Compared

It’s 4

on a Friday, and a supplier certificate lands in the quality team’s shared inbox. Someone has to identify the document, check the supplier against SAP, confirm the required fields and decide whether it passes. Everyone in the room is hoping it’s a clean one.

The best process automation software in 2027 handles that whole case, from the email arriving to the record being written, and uses each kind of worker for what it does well. AI reads and interprets the document. Exact rules carry out the checks that can’t be wrong, and a person makes the call the business keeps human.

What to check before you shortlist

Does each piece of work keep its state and history while it waits for a document or a decision?
Can you mark which steps are exact rules and which are AI judgment?
Does it work with the ERP, CRM and inboxes you already run, without replacing them?
Can you choose where it runs and which AI models it uses?

Ask every vendor to answer these on one of your own processes, including a case with missing evidence and a failed system update. Demos with only clean cases tell you little about a Monday morning.

Two colleagues arranging sticky notes on a glass wall — Fig. 1 Each piece of work needs a state and a history while it waits.

The 5 best process automation software tools in 2027

1. Noxus: best process automation software overall

Noxus is a Process Intelligence product for redesigning and running business processes across AI agents, people and existing systems. Teams map the work as it runs today, then assign each activity to the executor that suits it.

Screenshot of the Noxus homepage — Fig. 2 The Noxus homepage.

Process Builder to define activities, decisions, exceptions and who or what performs each step
Cases that carry each request’s data, state and history, for minutes or for weeks
Work Queues that show the team what is waiting, what failed and who owns it
Agents for interpretation, Flows for exact sequences, plus human tasks and connected systems
Flow evaluation suites that rerun representative inputs before a change goes live
Managed cloud or customer-controlled deployment, with models reached through the client’s own accounts

What sets it apart is the control it puts around AI. A model can prepare a recommendation while an exact rule decides whether the action is allowed or a person must decide. KIRCHHOFF Automotive used Noxus to process supplier-quality documents into SAP S/4HANA without changes to SAP. It reached production 30 days after kickoff and handles more than 2,000 documents a month at 97% precision against its quality team’s validation.

Best for: operations teams in finance, quality, insurance or customer service whose cases cross documents, people and several systems.
Less suited to: simple app-to-app tasks that a lightweight automation tool already handles.

2. Appian: best for companies building process applications in low-code

Appian is an established low-code process product that now embeds AI agents in its business workflows. Agent Studio, generally available since November 2025, lets a lead agent pass work to specialist agents for triage, document extraction or approval routing inside one governed process.

Screenshot of the Appian homepage — Fig. 3 The Appian homepage.

Low-code process and application building, with Composer for spec-driven development
Data fabric that connects records across systems, plus a Snowflake partnership
Environment-wide guardrails for agents, and support for the Model Context Protocol

Its strength is depth for companies that already build applications on Appian. New buyers should plan for an application-building program rather than a quick start.

Best for: enterprises with Appian skills that want AI agents inside existing process applications.
Less suited to: teams that want to start with one process and no application build.

3. Camunda: best for engineering teams that model in BPMN

Camunda orchestrates processes using the BPMN standard, and its agentic orchestration combines AI work with deterministic rules and human tasks. Version 8.9, released in April 2026, added conditional events that react to agent outputs mid-process, an MCP server and Agent2Agent connectors.

Screenshot of the Camunda homepage — Fig. 4 The Camunda homepage.

BPMN modeling shared by business analysts and developers
AI agents that run inside a structured, auditable process
Self-managed deployment with a choice of databases

It suits organizations that already standardize on BPMN and have developers to build around it.

Best for: engineering-led teams with BPMN expertise and existing process models.
Less suited to: operations teams without developer capacity to build the surrounding interfaces.

4. UiPath: best for companies with a large RPA estate

UiPath built its name on robotic process automation and now orchestrates agents, robots and people through Maestro. Maestro Case, launched in June 2026, adds case management for long-running, exception-heavy work.

Screenshot of the UiPath homepage — Fig. 5 The UiPath homepage.

Maestro orchestration with BPMN modeling
Case management that tracks data, participants and timeline across stages
Reuse of existing robots inside governed processes

If hundreds of robots already run your back office, UiPath lets you build on that investment.

Best for: enterprises with an automation center of excellence and existing robots.
Less suited to: teams with no RPA history that want an AI-first starting point.

5. Celonis: best for teams that start from process mining

Celonis is known for process mining, and it now pairs analysis with execution. Its Orchestration Engine coordinates AI agents, people and systems, while Action Flows trigger actions or existing automations.

Screenshot of the Celonis homepage — Fig. 6 The Celonis homepage.

Process mining that shows how work actually runs across systems
Orchestration of long-running processes guided by those insights
Triggers into existing automations

It works best when process analysis is already part of the program and the team wants execution in the same place.

Best for: companies already using Celonis to analyze their processes.
Less suited to: teams that need to start running one process quickly, before any mining project.

Best process automation software side by side

Use the table to narrow your list to two, then run the same real case through both.

Tool	Starting point	How work is tracked	Human work	Strongest first use
Noxus	The operation as it runs today	Cases with state and history	Planned tasks and exceptions in Work Queues	Document-heavy processes across ERP and CRM
Appian	Low-code process applications	Process models and data fabric	Human tasks in apps	Extending existing Appian apps with agents
Camunda	BPMN process models	Process instances	User tasks	Developer-led orchestration
UiPath	Robots and automations	Maestro Case	Human tasks and escalations	Adding agents to an RPA estate
Celonis	Process mining insights	Orchestrated processes	Tasks triggered by insights	Acting on mining results

So which one should you pick?

Start with what you already own. Companies that build on Appian can extend it, and developers who think in BPMN will find Camunda familiar. Where robots already do much of the work, UiPath builds on them, and Celonis is the natural next step for teams it has already helped map their processes.

A long aisle of metal equipment racks — Fig. 7 Decide which work stays exact, which goes to AI and which stays human.

If you are starting from a real operation, with documents arriving, rules to enforce and people who must keep certain decisions, Noxus is the process automation software built for that work. A trial on one of your own processes, followed to the recorded outcome, is the quickest way to see it.

Process automation software FAQs

What is process automation software?

It runs a business process from the event that starts it to the outcome that closes it. Modern tools combine AI agents for interpretation, exact rules for checks, human tasks for decisions and integrations with the systems that hold your records.

How is process automation different from RPA?

RPA automates individual tasks by copying how a person clicks through an application. Process automation coordinates the whole case, including waits, exceptions and human decisions, and can include robots as one of its executors.

Can AI agents run a process without people?

For routine cases, agents can handle much of the work within set limits. Most businesses still keep a person on consequential decisions, and good process automation software lets you set that autonomy step by step.

How long does it take to get a process into production?

It depends on the process and its systems. With Noxus, KIRCHHOFF Automotive reached production 30 days after kickoff, and Super Bock went live in 45 days at one plant.