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Optimize business processes across your organization with a cloud-first, comprehensive automation platform, powered by low-code and AI. Modernize and integrate operations at scale, maintain visibility
Microsoft Power Automate is a tool designed to automate routine tasks across Microsoft 365 and external apps, enabling users to create workflows quickly without extensive programming skills. Reviewers appreciate the tool's ease of use, its ability to streamline repetitive tasks, and its seamless integration with Microsoft products and external apps. Reviewers noted that complex workflows can be difficult to manage and debug, and the licensing model can be confusing and restrictive.
About Celonis Celonis makes processes work for people, companies and the planet. The Celonis Process Intelligence Platform uses industry-leading process mining and AI technology and augments it wi
Celonis is a process mining tool that visualizes operational data, identifies inefficiencies, and provides actionable insights for optimization. Users like the user-friendly interface, proactive support team, and the ability to visualize complex process data, which aids in identifying bottlenecks and optimizing workflows. Reviewers mentioned that the initial setup and data integration can be complex and time-consuming, the licensing model can be challenging for smaller-scale use cases, and the platform can be overwhelming for beginners.
UiPath (NYSE: PATH) is a global leader in agentic automation, empowering enterprises to harness the full potential of AI agents to autonomously execute and optimize complex business processes. The UiP
UiPath Agentic Automation is a platform that combines AI-driven decision-making with traditional RPA to automate repetitive tasks and handle data and documents more efficiently. Reviewers frequently mention the platform's ability to save time, reduce errors, and handle high volume processes, as well as its ease of use and the convenience of building, testing, and scaling automations within a single platform. Reviewers noted that the platform can be expensive, requires significant effort to set up, consumes a lot of resources, and has a steep learning curve, especially for beginners.
Bizagi is a low-code process automation platform. It enables organizations to orchestrate processes and create modern apps. The most important use case is often for complex long running processes and
Bizagi is a platform that provides functionality for data collection, process knowledge development, workflow management, and process automation. Reviewers like Bizagi's user-friendliness, its ability to deliver consistent results even in complex workflows, its valuable analytics dashboard, and its capacity for scalability and integration. Reviewers noted that integrations with Bizagi are not as easy as with competitors, especially in advanced digitization tracking, and that the high-end package is cost prohibitive, with some users also experiencing slow performance in complex processes.
IBM Process Mining is an AI-powered solution that helps businesses of all sizes unlock value by improving visibility, efficiency, and compliance in business processes. It transforms your data into act
Appian is a software company that automates business processes. The Appian Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish
Appian is a low-code platform that integrates AI, RPA, and dynamic on-demand infra scaling to transform complex business processes into working applications. Reviewers appreciate Appian's ease of use, customer service, and its ability to quickly transform complex business processes into working applications, with strong process modeling, low-code speed, built-in automation, and enterprise-grade security. Users reported limitations with Appian's interface design applications, high licensing costs, opaque debugging, and the need for platform-specific expertise for deep customization, as well as issues with reporting and analytics capabilities.
Automation Anywhere is the global leader in Agentic Process Automation (APA), transforming how organizations put AI to work. Our platform combines specialized AI agents, generative AI, and end-to-end
Automation Anywhere is a tool that automates redundant tasks, reducing manual work and making processes smoother. Users like that Automation Anywhere is user-friendly, with a drag-and-drop interface that makes building bots accessible to everyone, and it handles large bot fleets and high-volume processes well. Users reported that Automation Anywhere can be expensive for small businesses, has a steep learning curve for complex logic, and its licensing can be confusing and expensive.
UiPath Task Mining enables you to analyze your employees’ desktop activities to determine the best automation and process improvement opportunities. The product enables you to: - Capture the known: E
Transform your business with NewgenONE, an intelligent enterprise orchestration platform, featuring a suite of cutting-edge technologies—from task automation to mission-critical, content-rich applicat
ARIS supports your operational excellence by providing visibility into your operations, enabling you to create outstanding processes, and ensuring close monitoring of your business. As a pioneer and t
The Industry’s Only Low‑Code, Integrated, End‑to‑End Intelligent Automation Solution Tungsten TotalAgility is a powerful all-in-one solution that combines document and process intelligence using the
Apromore from Salesforce: Leading Process Intelligence and AI-Driven Business Process Improvement Cutting-Edge Technology Apromore from Salesforce is the culmination of over a decade of advanced
PIX RPA is an intelligent automation platform that combines RPA, AI, and BPM to help businesses automate processes, improve efficiency, and scale operations. Advantages of PIX RPA Platform: - Buil
PIX RPA is a tool used for automating daily tasks such as sending emails from an ERP system. Reviewers appreciate the intuitive visual editor and AI-powered features of PIX RPA, which enable quick bot creation without heavy coding, and its ability to handle high-volume tasks with stability. Users reported limited visibility on some advanced AI features, a need for expanded documentation for niche integrations, and a desire for a darker 'pro-mode' for long coding sessions.
SS&C Blue Prism’s intelligent automation platform (IAP) connects a unified workforce of people and digital resources with systems, cognitive tools, applications and technologies, including an ecos
Interfacing’s Integrated Management System (IMS) is an AI-powered platform that unifies BPM, QMS, Document Control, and GRC into one platform. Organizations use IMS to model and automate processes, co
At its core, process mining tools help businesses get a grasp of their processes to better understand what they are and how they are performing. When one digs into the roots of any given business, the underlying structures will often be supported by processes or the workflows and business functions that underpin operations. Processes are the steps and tasks taken to get a job done. The best processes are easily repeatable and well-documented. However, it is not always easy to get a handle on all the processes going on, as they can be distributed across individuals, teams, and systems. This is where process mining software comes in. This software can help businesses determine how to optimize their processes through automation or by making these processes more efficient. Process mining tools analyze logs from various business systems, such as CRM, ERP, and purchasing software. From there, business leaders can make informed, data-driven decisions about their processes and workflows.
Processes can quickly get out of hand. For example, one person might input data about a customer in a CRM, another might port that data out into financial software, and yet another colleague might analyze that data to derive insights. With process mining software implemented, businesses can get visibility into how the various disparate tasks combine into processes and how well they work together.
Traditionally, process mining tools are used by mid-market and enterprise-sized companies. Larger companies tend to have more siloed departments, and when business actions need to become integrated to be efficient, process mining software is an easy solution. However, small businesses can also reap the benefits of RPA technology, as they have processes as well.
Process discovery
Process mining software can focus on process discovery. These tools are simpler and allow for an overview of processes. Some, however, use more advanced techniques, like artificial intelligence, to discover and group together processes.
Conformance checking
Conformance checking is a process mining method used to check compliance. It compares event logs or an actual process with the existing reference model, or target model, for that process. This technique determines whether the actual process corresponds to the target process.
Process reengineering
Process reengineering involves changing the process model. It includes redesigning core business processes to dramatically improve productivity, cycle times, and quality. These tools focus on the analysis and design of workflows and processes.
The following are some core features within process mining solutions that can help users in many ways:
Process management: For the software to process processes, robust integration capabilities with business tools, such as CRM and ERP software, are critical. This software can allow users to access and understand different processes based on their roles. This will give users the ability to find bottlenecks and identify gaps between how things should be and how they are in reality.
Process analysis: Management is the first step, and analysis is the second. Process mining tools allow users to conduct real-time process analysis, giving them process notation capabilities and the ability to define business entities and responsibilities for given processes.
Automation: Automation is not the only goal of process mining, but it often is the result. Many of these tools integrate with RPA technology, either natively or via third-party integrations. Some of them allow customers, partners, and third-party developers to create applications on top of business processes.
A few benefits of process mining platforms are mentioned below:
Discovery: The proliferation of systems and applications can lead to the proliferation of confusion, but it need not be so. Process mining can help discovery processes by analyzing log data produced by applications. This software could integrate with CRM software, for example, to help one get a better sense of how efficient and effective a business’ customer relationship management is. The power of this technology is that it can integrate with a host of different types of tools and, as such, can give a bird's-eye view of all processes and how they work together.
Monitoring: Once processes have been discovered, the real work can begin. Process mining systems can provide an end-to-end view of processes across the business from a host of different applications and systems. This view can show which processes are taking up the most time and resources, whether that be financial output or human capital.
Optimization: Viewing processes is not a goal in and of itself. The point and purpose of monitoring processes is to optimize them. This can take the form of automation (through robotic process automation (RPA) software, for example) or ensuring that the humans involved can reach their full potential.
Sales leaders: Lead-to-order processes can take a long time, increasing the payback time of marketing investments. Companies can uncover the reasons behind this issue and take action to reduce sales cycle time.
IT professionals: IT systems may not provide the correct solution on their first try. Process mining tools can produce data-driven insights to increase the first-time resolution rate.
Finance officers: Mistakes and manual interventions in purchase-to-pay processes increase lead time. Process mining can help companies find compatible areas of automation.
Alternatives to process mining tools can replace this type of software, either partially or completely:
Robotic process automation (RPA) software: RPA software solutions sometimes have process mining capabilities baked in. Therefore, businesses that already implement RPA bots should first check if they have process mining features.
Related solutions that can be used together with process mining software include:
Business process management (BPM) software: A business can implement both process mining software and business process management (BPM) software simultaneously to perform different functions of process automation. However, a business might also decide to go with one or the other. BPM software, which has been around for some time, is used to analyze processes at a very high level, while process mining tools go into more granular detail.
Business process simulation software: Similar to process mining, business process simulation software allows businesses to assess business processes. This software provides more robust tools for simulating these processes and focuses on testing and validating what-if scenarios. It provides tools for creating models as well as visualizing the models and outcomes. It is typically used by executives, managers, and external consultants looking to get a better understanding of a company’s business processes.
Software solutions can come with their own set of challenges. It must always be kept in mind that process mining, like any other digital transformation or automation-related solution, is not a magic bullet. Therefore, users must keep these pitfalls and issues in mind:
Integrations: One concern that users of process mining software should be aware of is the type of software that process mining tools can integrate with to automate processes. Often, companies will deploy process mining tools on top of ERP systems, contact center infrastructure tools, or accounting software, among many other types of software. If the software that a business is hoping to automate processes within is not compatible with the process mining tool of their choice, then there is no point in purchasing that specific product.
Compatibility: Buyers should go as far as to ensure that the process mining solution can run on either Windows or macOS or any other operating system they may run at their business. Most process mining tools are platform agnostic and can work across many different software vendors; however, it is always best to double-check when buying the software.
Unexpected costs: Just as with any software, it is essential to consider all the potential costs involved. With process mining software, users might discover that they end up spending more than they thought they would.
Each industry can benefit in some way from process mining software and implementing an automation strategy. Here are a couple of industry examples where the benefits of process mining are paying off:
Healthcare: Shifts at the hospital can be mentally and physically draining, and the last thing a med tech needs is to stay up on repetitive, low-priority tasks. Process mining software can help healthcare leaders take account of processes and ensure that processes are optimized or automated as needed.
Telecommunications: Telecommunications companies are always looking to improve their processes and bring the best and fastest services to their customers. Process mining can help them better understand their processes.
When looking to deploy a process mining solution, it is crucial to start from the beginning. In other words, a business should begin by conducting an overview of business processes. If a company is just starting out and looking to purchase its first process mining software, or wherever a business is in its buying process, g2.com can help select the best option. As mentioned above, buyers should also consider the related and ancillary software and services they might want to deploy alongside process mining, such as RPA or robotic process automation (RPA) consultancy services.
Taking a holistic overview of the business systems and processes will help businesses identify pain points. This will help them figure out which software to buy (e.g., whether it can effectively handle the business’ processes) and develop buying criteria.
A request for information (RFI) can be useful, especially if the deployment is large in scale and scope. By producing this, a business can be well-placed to gather information from sellers. Depending on the scope of the deployment, it might be helpful to produce an RFI, a one-page list with a few bullet points describing what is needed from process mining software.
Create a long list
Evaluating vendors should start with a long list, which will help determine whether a given solution is a good fit. Buyers should create a broad list of tools that align with their business goals. So that there is a level playing field, it is important to ask the same set of questions to each seller.
Create a short list
Next, a whittling down should take place. Through pointed questions, demos, and trials, one can go from a long list to a short one. Although this will differ for each business and use case, three to five products is typically a good number. With this list in hand, businesses can produce a matrix to compare the features and pricing of the various solutions.
Conduct demos
To ensure a thorough comparison, the user should demo each solution on the short list using the same use case and datasets. This will allow the business to evaluate like-for-like and see how each vendor compares against the competition.
Choose a selection team
Before getting started, it's crucial to create a winning team that will work together throughout the entire process, from identifying pain points to implementation. The software selection team should consist of organization members with the right interests, skills, and time to participate in this process. A good starting point is to aim for three to five people who fill roles such as the main decision maker, project manager, process owner, system owner, or staffing subject matter expert, as well as a technical lead, IT administrator, or security administrator. In smaller companies, the vendor selection team may be smaller, with fewer participants, multitasking, and taking on more responsibilities.
Negotiation
Just because something is written on a company’s pricing page does not mean it is final, although some companies will not budge. It is imperative to open up a conversation regarding pricing and licensing. For example, the vendor may be willing to give a discount for multi-year contracts or to recommend the product to others.
Final decision
After this stage, and before going all in, it is recommended to roll out a test run or pilot program to test adoption with a small sample size of users. If the tool is well used and well received, the buyer can be confident that the selection was correct. If not, it might be time to go back to the drawing board.
Generally, process mining tools require a license (priced either annually or monthly). In addition, one often pays extra per bot, with unattended bots being more expensive than attended ones.
Since process mining might take the place of humans’ tasks (or their jobs), one must analyze and compare the cost of automation versus having humans do the same tasks. Although the extent to which the software impacts the company’s bottom line is a key indicator of success, it should not be the only one. One must also investigate the ethical ROI, or the moral impact job displacement will have.
Who is Responsible for Process Mining Tool Implementation?
Although some process mining solutions require significant IT support, most can be deployed directly by business leaders. These business leaders will have the best visibility into their team’s processes. For more complex deployments, support from the IT team will likely be needed. The IT team might also be involved with security. Since process mining software can access the most sensitive information, IT might get involved to test how secure the software is.
What Does the Implementation Process Look Like for Process Mining Tool?
When one seeks to automate their processes, they must start with a deep analysis of those processes. It need not start with expensive software or an external team. It can begin with pen and paper or on a whiteboard, digital or otherwise. The company, or team, can pinpoint the most broken processes or those ripe for automation, such as the most repetitive ones. Only after this hard work can the actual automation begin.
When Should You Implement Process Mining Tool?
Many solutions provide free trials to test the technology's effectiveness. This can help a business determine whether or not the solution is right for them. If the decision has been made to deploy process mining, it is key that it does not get siloed into one department; otherwise, its very deployment may lead to further complication and confusion around processes.
Artificial intelligence (AI)
Process mining vendors are striving to implement elements of AI and machine learning into their solutions to allow businesses to better understand their processes. These AI capabilities allow process mining tools to visually watch processes and carry them out independently, without human intervention. As with most AI initiatives, the use cases in process mining software are relatively raw. However, to achieve true automation, the two technologies will need to work seamlessly. This will help businesses with their overall digital transformation.