4 Popular Robotic Process Automation (RPA) Tools

Hello friend! Robotic process automation (RPA) is one of the most exciting technologies transforming businesses today. As a technology geek and data analyst, I‘m fascinated by the immense potential of RPA to optimize operations. In this comprehensive guide, I‘ll provide an in-depth look at RPA and explore some of the top tools on the market.

What is RPA and Why Does it Matter?

RPA allows configuring software bots to automate repetitive, rules-based business processes. The bots interact with applications through the user interface to perform tasks like a human worker. RPA replicates human actions such as clicking buttons, entering data, navigating systems, triggering responses, and communicating across multiple IT systems.

This is a fundamentally different approach from traditional IT automation that requires complex integration at the API level. With RPA, the bots simply interact with the application interfaces just as humans do. This makes it faster and easier to automate processes across legacy systems.

According to Gartner, the RPA software market grew over 63% in 2018 to $846 million. They expect it to reach $2.4 billion by 2022. Leading analyst firm Forrester also predicts the RPA market will expand rapidly. So there is tremendous interest in RPA right now.

McKinsey estimates that about 30% of activities in 60% of occupations could be automated using RPA. The technology presents immense opportunities to improve operating efficiency and reduce costs. Let‘s look at some of the benefits:

• Improved productivity – Bots can work around the clock without breaks, automating processes much faster than humans.
• Cost reduction – RPA reduces the need for manual labor, leading to significant cost savings.
• Enhanced compliance – Software robots minimize human errors and follow standardized processes with predictable results.
• Better customer satisfaction – Bots can handle routine tasks, freeing employees to focus on higher-value work.

According to Deloitte, RPA can lower process costs by 25-50% and deliver ROIs of 30-200% in the first year. The benefits are substantial for any company looking to optimize operations.

Use Cases for RPA

RPA use cases are prevalent across industries, business functions, and departments. Here are some examples:

• New employee onboarding
• Healthcare claims processing
• IT support ticket classification
• Sales order processing
• Account reconciliation
• Invoice creation and posting
• Data migration between systems
• Report generation from data sources
• Extracting data from documents

Essentially any repetitive, rules-based process that involves data manipulation, transactions, triggering responses or communicating across systems is a potential RPA candidate. The best opportunities are high volume tasks with structured data.

Leading RPA Software Vendors

While the RPA market is still maturing, some clear leaders have emerged. Here I‘ll provide an overview of the capabilities, strengths and use cases for the top 4 RPA tools:

1. UiPath

UiPath is the dominant RPA leader, with over 60% market share according to Gartner‘s latest Magic Quadrant report. The company was founded in 2005 and has exploded in growth in recent years, raising over $1 billion in funding to date.

UiPath offers an end-to-end platform to build, manage, run and monitor software robots. Its open architecture integrates with third-party software through APIs. The vendor claims over 9,000 enterprise customers, including 65% of the Fortune 500.

Key capabilities:

• Drag-and-drop visual designer to build automations without coding.
• Advanced computer vision technology to identify UI objects.
• Sophisticated debugging tools and exception handling.
• Built-in analytics dashboard and reports.
• On-premise, private cloud and public cloud deployment options.
• Process mining to discover automation opportunities.

Use cases: UiPath is an ideal choice for large-scale automation programs due to its robust platform scalability. It‘s well-suited for automating complex, unstructured processes that involve integration across many core enterprise systems.

2. Automation Anywhere

Automation Anywhere is another established RPA leader with over 3,000 enterprise customers globally. The company focuses heavily on cognitive automation capabilities utilizing artificial intelligence and machine learning.

Key capabilities:

• Visual, drag-and-drop designer requiring no coding.
• IQ Bot – NLP-powered bots that understand natural language.
• Bot Insight – ML analytics to optimize bot performance.
• Integrates with leading enterprise software applications.
• Control room to centrally manage automations.

Use cases: Automation Anywhere is a great choice for automating complex business processes end-to-end. The cognitive elements also make it suitable for unstructured data tasks.

3. Blue Prism

Blue Prism focuses primarily on the enterprise market and has over 2,000 customers. It provides a scalable, secure RPA platform designed for centralized governance.

Key capabilities:

• Centralized object repository for reusable automations.
• Role-based access control and encryption.
• Supports integration with mainframes and legacy systems.
• Scheduling, auditing and permissions built-in.
• Process mining and analytics.

Use cases: Blue Prism shines for highly regulated industries like banking and healthcare where security and governance are critical. The scalability also suits large enterprises with complex systems.

4. WorkFusion

WorkFusion differentiates itself by providing an intelligent automation platform that combines RPA, AI and human-in-the-loop. This allows WorkFusion to automate more complex tasks than traditional RPA tools.

Key capabilities:

• Computer vision and machine learning for advanced automation.
• Skills-based routing to human agents.
• Conversation designer for natural language chatbots.
• OCR and document understanding.
• Option for human-in-the-loop model.

Use cases: WorkFusion is ideal for processes that are not fully automatable with RPA alone. The human-in-the-loop model supports automation of fuzzy, judgment-based tasks.

How to Select the Right RPA Tool

With the major RPA platforms, the core capabilities are quite similar. Here are some key factors to consider when evaluating options:

• Ease of use – Low/no code platforms are ideal for citizen developers.
• Total cost of ownership – Factor in licensing, implementation, training, support.
• Security – Authentication, encryption, access controls, auditing.
• Scalability – Number of bots supported and processes automated.
• Third-party integration – API support to connect with other enterprise systems.
• Analytics – Dashboards, reporting, monitoring and optimization.

I recommend identifying a few shortlisted vendors to bring in for demos and proof-of-concepts based on your specific environment and use cases. This will enable you to validate first-hand how easy the platform is to use, its scalability, and potential for automating your core processes.

Getting Started With RPA – Next Steps

RPA presents tremendous potential to drive digital transformation in your organization. To recap, here are my recommendations on how to get started:

1. Research RPA use cases relevant for your industry.
2. Document current processes and identify automation opportunities.
3. Calculate potential cost savings and ROI.
4. Shortlist RPA software platforms to evaluate.
5. Start small – Run a pilot project as proof-of-concept.
6. Develop an enterprise automation roadmap.

I encourage you to try out RPA in a focused pilot. The hands-on experience will give you a clearer picture of the possibilities and help secure buy-in across your organization. Please reach out if you need any assistance getting started on your RPA journey!