Automated process discovery tools leverage machine learning algorithms, computer vision and deep learning to observe the execution of real-life processes. Embarking on an automation journey with these tools can significantly enhance business efficiency and productivity.
We conducted a research on 68 RPA and 31 process mining software solutions and identified the vendors that claim to offer automated process discovery capabilities on their websites. However, we did not verify their claims by using all these tools.
Based on this analysis, we listed the top automated process discovery tools provided by RPA, process mining and analytics vendor. This research helps organizations target tools that align best with their automation goals.
Process Discovery tools
Some of the RPA providers and analytics vendors include process discovery as a part of their solution to enhance business operations. Also, there are process mining vendors that provide automated process discovery tools.
These tools play a crucial role in process automation by integrating various automation functionalities to streamline operations and improve productivity.
Below, you can find the lists of vendors that provide automated process discovery tools, placed according to alphabetical order.
RPA solution’s automated process discovery platform
RPA (Robotic Process Automation) is a type of software which leverages screen scraping and OCR to replicate human interactions with GUI elements. It automated process discovery tools by operating the sequence of steps in the model discovery process. These tools can automate rule-based tasks such as gathering customer information and performing credit checks.
Some RPA companies provide their own process discovery solutions by developing discovery bots, whereas others integrate their RPA solutions with leading process mining and discovery tools to automate repetitive tasks.
These tools often target rule-based tasks such as gathering customer information or credit checks. During our research, we identified several RPA vendors offering free resources or trial versions to attract their target audiences.
Vendor Name | Score | Free trial |
---|---|---|
AntWorks | - based on 2 reviews | ❌ |
Automation anywhere | - based on - reviews | ❌ |
Blue Prism | {{5152531->score} based on {{5152531->review_count} reviews | ❌ |
IBM Cloud Pak for automation | 4.6 based on 296 reviews | ✅ |
AssistEdge by EdgeVerve | 4.0 based on 12 reviews | ✅ |
Kofax | 4.2 based on 12 reviews | ❌ |
Nintex | 4.2 based on 794 reviews | ✅ |
Nika | - | ✅ |
UiPath RPA | 4.6 based on 6,947 reviews | ✅ |
Worksoft | 3.9 based on 6 reviews | ❌ |
Many of these companies offer free resources and trial versions to help target users better understand their platforms. This strategy supports our research findings that free trials are a common entry strategy in the automation software space.
Analytics solution’s automated process discovery platform
Analytics tools leverage historical data to understand patterns within sets of data. Analytics companies complement and improve business analysis (BA) and business intelligence (BI) models with automated process discovery since it illustrates processes explicitly.
These platforms also play a crucial role in process identification by analyzing organizational workflows to pinpoint processes that can benefit the most from automation.
Some of the software vendors that offer automated process discovery platforms include:
- Fujitsu automated process discovery (APD)
- Fortyseven Software automated business process discovery.
Our research also suggests that analytics vendors actively target specific industries like finance and retail, delivering tools with free trials to support their automation journeys.
Process mining solution’s automated process discovery capability
Process mining tools are essential for business process management, as they discover, monitor, and visualize business processes and workflows. These tools help analyze business processes by creating accurate process models that support automation efforts. While most process mining vendors offer process discovery solutions, some also claim to provide automated process discovery tools.
These tools leverage event logs and AI-driven methods to generate detailed process models, which are critical for identifying inefficiencies and enhancing automation strategies.
Some of the vendors who claim to provide automated process discovery tools include:
- IBM process mining
- Agilon (amesto)
- Everflow
- Logpickr
- Minit
- Puzzle Data
- Surface Insights
- Thinksense.ai
Only surface Insight provides free demos, and Minit offers a free trial upon request among these vendors.
Our research shows some vendors combine other process intelligence software, such as task mining or digital twins of an organization or process analysis tools with automated process discovery. These business process analysis tools are compatible alternatives to process mining.
Open source AI algorithms to discover processes
During our research, we also found open-source alternatives. These algorithms are often free to use and serve as powerful tools to target academic or technical audiences.
These process mining algorithms are tools that can be implemented in Python, R, Java and other languages to discover and model business processes for free, facilitating process discovery work. The most common open source algorithms have libraries and packages along with their codes available on GitHub:
Utilizing these open-source algorithms and process discovery techniques can lead to significant improvements in efficiency and productivity.
These tools are publicly available and have become a focal point in research projects. The community uses them to target gaps in commercial software and enhance transparency.
Benefits of Automated Process Discovery
The benefits of automated process discovery are numerous and significant. By automating the process discovery process, organizations can:
- Reduce the time and effort required to identify and map business processes, and improve the accuracy and completeness of the resulting process maps, supporting digital transformation initiatives.
- Identify bottlenecks and inefficiencies in their processes, and prioritize automation initiatives to address these issues, helping with optimizing business processes.
- Improve compliance and reduce risk by documenting and analyzing their business processes.
Overall, automated process discovery is a powerful tool for driving business process improvement and achieving operational excellence.
Industry-Specific Use Cases
Automated process discovery has a wide range of industry-specific use cases, from finance and accounting to healthcare and customer service. For example:
- In the finance industry, automated process discovery can be used to identify and optimize processes related to invoice processing, accounts payable and receivable, and compliance reporting.
- In the healthcare industry, automated process discovery focuses on providing clear visibility into clinical workflows to reduce medical errors, and enhance patient care.
- In customer service, automated process discovery can be used to identify and optimize processes related to customer onboarding, issue resolution, and feedback collection.
By applying automated process discovery to these industry-specific use cases, organizations can achieve significant improvements in efficiency, productivity, and customer satisfaction.
Further reading
You can read our in-depth articles to learn how process mining leverages AI and machine learning and what are the open source process mining tools.
- Top 4 Use Cases of AI-enabled Process Mining
- Top 6 Applications of Machine Learning (ML) in Process Mining
- Top 10 Open Source and Free Trial Process Mining Tools
If you believe your business can benefit from process mining tools, you can check our data-driven list of process mining software and other automation solutions.
And you can let us find you the right vendor:
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