Process automation
Automation is reshaping how organisations operate. Companies that automate the right processes move faster, make fewer errors, and free their people to focus on work that actually matters. This article explains what process automation is, the main types, and how to put it to work in your organisation.
What is process automation?
Process automation is the use of technology to perform repeatable tasks with minimal human intervention. Instead of relying on people to manually trigger, execute, and track each step, automation handles the work — consistently and at scale.
At its core, automation follows a simple logic: define the rules, connect the systems, and let software do the rest. The output is a faster, more predictable process that runs the same way every time. See the definition in our BPM glossary.
Understanding process automation in business
In a business context, process automation means connecting people, data, and systems so that work flows automatically between steps — without manual hand-offs slowing things down. It reduces the time employees spend on low-value tasks and gives managers real-time visibility into how work is progressing.
However, automation is not a shortcut around poor process design. Before you automate, you need to understand and optimise the underlying business process — including its standard operating procedures and workflows. If the process is unclear or broken, automation will simply accelerate the problem. The famous warning still holds: if you automate a mess, you get an automated mess.
That is why successful organisations start by mapping, documenting, and refining their processes before reaching for automation tools. Business process management provides the framework for doing exactly that — giving teams a structured way to understand how work really happens before deciding what to automate.
“If you automate a mess, you get an automated mess.”
Gluu is not a process automation platform. It’s a platform made for understanding, orchestrating and improving work – everything that enables process automation as described in this article.
Process automation examples
Automation applies across virtually every business function. Here are some of the most common use cases:
HR — employee onboarding: Automated workflows send welcome emails, provision accounts, assign training, and schedule introductory meetings — all triggered the moment a new hire is added to the system.
Finance — invoice processing: Incoming invoices are scanned, matched to purchase orders, and routed for approval automatically. Only exceptions require human review.
Customer service — chatbots and ticket routing: Automated systems handle common customer queries instantly and route complex issues to the right agent, reducing response times significantly.
IT — access management: When an employee joins or leaves, access rights are granted or revoked automatically based on their role — removing the risk of manual errors.
Operations — supply chain: Reorder triggers, shipment tracking updates, and supplier notifications can all run without manual input, keeping the supply chain moving in real time.
Manufacturing — production processes: Automated quality checks, machine scheduling, and digital work instructions reduce downtime and improve consistency on the factory floor. See how one factory eliminated paperwork entirely using digital process automation.
The video below shows how process automation works in practice — and how Gluu helps organisations connect their processes, people, and tools to make automation stick.
What are the 4 types of automation?
Automation is not one-size-fits-all. Different types of automation address different problems — and choosing the right one matters. Here are the four main categories.
Business process automation (BPA)
Business process automation focuses on streamlining end-to-end workflows across departments. It replaces manual co-ordination — emails, phone calls, spreadsheets — with automated routing, notifications, and approvals. Common use cases include onboarding, contract management, and compliance reporting.
Robotic process automation (RPA)
RPA uses software “robots” to mimic human actions on a computer — clicking, copying, pasting, and entering data across applications. It is particularly useful for high-volume, repetitive tasks that involve structured data. Unlike BPA, robotic process automation works at the interface level — it does not require deep system integration. However, it also means RPA is more brittle: if the underlying application changes, the robot may break.
Intelligent process automation (IPA)
Intelligent process automation combines RPA with artificial intelligence — adding capabilities like natural language processing, machine learning, and decision-making. As a result, IPA can handle unstructured data, learn from patterns, and make judgement calls that pure rule-based automation cannot. It is well suited to complex processes where variability is high.
Industrial and manufacturing process automation
This type of automation covers physical production environments — machinery, sensors, control systems, and robotics on the factory floor. Industrial automation focuses on speed, precision, and safety in manufacturing and distribution. It operates at a different layer from software-based automation, though the two increasingly overlap as factories become more digitally connected.
Process automation vs RPA vs workflow automation
These three terms are often used interchangeably — but they mean different things. The table below clarifies the key distinctions.
| Term | Scope | Best for | Typical tools |
|---|---|---|---|
| Process automation | Broad — end-to-end workflows | Eliminating manual hand-offs across departments | BPM platforms, BPA software |
| RPA | Narrow — UI-level task execution | High-volume, repetitive data tasks | UiPath, Automation Anywhere, Blue Prism |
| Workflow automation | Mid-range — sequential task flows | Routing approvals, notifications, assignments | Zapier, Make, Microsoft Power Automate |
How does process automation work?
Automation does not happen in one step. Most successful implementations follow a consistent sequence:
- Identify the right processes. Not every process should be automated. Start with tasks that are high-volume, rule-based, and prone to human error. Avoid automating processes that require nuanced judgement or that are still poorly defined.
- Map the workflow. Document how the process currently works — every step, every decision point, every hand-off. Process mapping is essential here. You cannot automate what you have not clearly understood.
- Define the rules. Automation runs on logic. Specify exactly what should trigger each step, what conditions apply, and what exceptions need human attention.
- Implement the right tools. Choose tools that fit the process type — not just the most popular platform. Integration with existing systems matters more than feature lists.
- Monitor and optimise. Automation is not set-and-forget. Track performance, capture exceptions, and refine rules as the process evolves. Continuous process improvement keeps automation delivering value over time.
Benefits of process automation
Increased efficiency: Automated processes run faster and around the clock. Tasks that took days can be completed in minutes — without adding headcount.
Reduced errors: Manual data entry and task hand-offs are a primary source of mistakes. Automation removes the human from repetitive steps, dramatically cutting error rates.
Cost savings: Faster processes, fewer errors, and lower rework costs all add up. For high-volume operations, the savings can be substantial.
Better compliance: Automated workflows enforce rules consistently — every time, for every case. Audit trails are generated automatically, which simplifies compliance reporting.
Improved customer experience: Faster response times, fewer errors, and consistent service delivery all translate directly into better customer outcomes.
Scalability: Automated processes handle growth without proportional cost increases. As volume rises, the system scales — without hiring more people to do the same tasks.
Business process automation tools
BPA platforms handle end-to-end process orchestration — including approvals, notifications, forms, and reporting. These are the right choice when you need to manage complex, cross-functional workflows.
RPA tools such as UiPath, Automation Anywhere, and Blue Prism are built for high-volume, interface-level task automation. They work well alongside BPA platforms but do not replace them.
Low-code and no-code tools like Zapier and Microsoft Power Automate let non-technical users build simple automations quickly. They are a good starting point for smaller workflows but may struggle with complex, multi-system processes.
ERP systems often include built-in workflow automation for finance, HR, and supply chain processes. However, they typically need a dedicated process layer to manage the full complexity of cross-functional work.
When evaluating business process automation solutions, look beyond features. Consider integration depth, user adoption, governance capabilities, and total cost of ownership. Compare leading BPM software options to find the right fit for your organisation.
Gluu brings process documentation, role clarity, and task execution together in a single platform — making it easier to automate work that is already well understood and properly governed.
Gluu free 30-day trial. No credit card required. Start from €24 / year.
How process automation supports process excellence
Automation and process excellence are closely linked — but they are not the same thing. Automation is a tool. Process excellence is the discipline of making work consistently better over time.
Standardisation: Automation enforces standard ways of working. When a process is automated, deviation becomes the exception — not the norm.
Transparency: Automated workflows create a real-time record of how work flows. Managers can see bottlenecks, delays, and exceptions as they happen.
Optimisation: With clean data from automated processes, it becomes much easier to identify what to improve next. The data tells you where the real problems are.
Governance: Process architecture and governance frameworks gain teeth when automation enforces them consistently. Rules are not just documented — they are built into the system.
FAQ – Process automation
Process automation means using technology to perform repeatable tasks without manual human effort. Software handles the triggering, execution, and tracking of steps — consistently and at scale — freeing people to focus on higher-value work.
The four main types are: Business Process Automation (BPA), which streamlines end-to-end workflows; Robotic Process Automation (RPA), which mimics human actions at the interface level; Intelligent Process Automation (IPA), which adds AI and decision-making capabilities; and Industrial Automation, which covers physical production environments.
The four stages are: identify (select the right processes to automate), map (document the workflow clearly), implement (deploy the appropriate tools), and optimise (monitor performance and refine rules over time). Skipping any stage — especially the mapping stage — significantly increases the risk of failure.
The 5 D’s of automation refer to tasks that are Dull, Dirty, Dangerous, Dear (expensive), and Delicate. These categories help organisations identify which tasks are good candidates for automation — typically those that are repetitive, high-risk, costly, or requiring extreme precision.
The right tool depends on your use case. BPA platforms handle complex, cross-functional workflows. RPA tools like UiPath handle interface-level task automation. Low-code tools like Power Automate suit simpler use cases. BPM platforms like Gluu combine process documentation, governance, and execution in a single system.
Robotic process automation (RPA) uses software robots to replicate human interactions with digital systems — clicking buttons, entering data, copying information between applications. It is rule-based and works at the interface level, without needing deep system integration. It is best suited to high-volume, structured, repetitive tasks.
