#process mining tools

Ask any operations leader where their biggest inefficiencies are hiding, and most will pause before answering. Not because they don't have problems — but because they genuinely can't see them. Processes that look clean in a flowchart often look very different in practice. That gap is exactly what process mining tools were built to close.

In 2025, the market for these tools is mature, competitive, and increasingly divided between legacy platforms and a newer generation of AI-powered process intelligence solutions. Here's what you need to know.

What Process Mining Tools Actually Do

Process mining tools extract event log data from enterprise systems — ERP, CRM, ticketing platforms, finance applications — and reconstruct how workflows actually execute. Not how they're designed to run, but how they run in the real world, with all the detours, delays, and deviations included.

The output is a detailed process map that shows every workflow variant, where bottlenecks cluster, which steps are skipped or repeated, and how long each stage takes. From there, good platforms add conformance checking (does reality match the design?), root cause analysis, and what-if simulation so teams can model improvements before committing to change.

The limitation of traditional process mining is that it's retrospective — it analyzes what already happened. For organizations that need to monitor live operations, catch compliance deviations in the moment, or respond dynamically to process drift, historical snapshots are only part of the answer.

The Leading Process Mining Tools at a Glance

Several platforms dominate the market today, each with a distinct focus:

Celonis — the enterprise benchmark. Deep integrations, vast partner ecosystem, and powerful analytics. Best for large organizations with complex, multi-system operations and the budget to match. The learning curve and implementation timeline are real considerations.

SAP Signavio — the natural choice for SAP-heavy environments. Strong governance and collaborative process modeling, though its value diminishes significantly outside the SAP world.

UiPath Process Mining — purpose-built for automation-first organizations. The tight link between process discovery and RPA deployment shortens the path from insight to action, though it's best as part of a broader UiPath investment.

Microsoft Power Automate Process Mining — a low-friction entry point for Microsoft ecosystem organizations. Accessible, no-code, and well-integrated with M365 tools, though limited in depth for complex enterprise use cases.

Each of these platforms has genuine strengths. But they share a common architectural assumption: that event logs from enterprise systems contain the full story of how work gets done. In practice, they don't — and that gap is driving demand for something more comprehensive.

Re-ViVE: Process Observability Built for Speed and Action

Re-ViVE takes a different starting position. Rather than competing on the same axis as Celonis or SAP Signavio, it's built around real-time process observability — the ability to see how processes behave as they happen, not just in hindsight. The ViVE platform includes four core modules:

ViVE Optum for process optimization — identifying inefficiencies, automation opportunities, and cost reduction levers through AI-generated root cause analysis and what-if simulation.

ViVE Genie — an AI co-pilot that answers natural language questions about process performance and generates execution roadmaps, not just reports.

ViVE Comply for real-time compliance monitoring — catching deviations as they occur and issuing proactive alerts before they become regulatory problems.

ViVE Insights for no-code, executive-ready dashboards that give process owners, auditors, and leadership direct visibility without analyst dependency.

What makes Re-ViVE practically different is deployment speed. Where traditional enterprise process mining projects run for months, ViVE is designed to deliver meaningful insights within days — with as little as four to eight hours of customer effort per use case. That's not just a convenience; for organizations under pressure to demonstrate operational ROI quickly, it fundamentally changes the business case.

The results across industries reflect this: a leading bank cut B2B onboarding time by 30% and improved loan servicing efficiency by 23%. A retail and manufacturing client eliminated $12 million in supply chain costs. Healthcare clients reduced ER wait times and optimized resource allocation. These aren't pilot project numbers — they're outcomes from live operational deployments.

The Right Tool Depends on the Right Question

If your priority is deep historical analysis of SAP-driven workflows at enterprise scale, Celonis or Signavio will serve you well. If you're automation-first and already in the UiPath ecosystem, their process mining module is a logical extension. If you're a Microsoft shop looking for a starting point, Power Automate Process Mining makes sense.

But if you need real-time visibility, fast time to value, and a platform that doesn't just show you problems but helps you solve them — without a six-month implementation and a team of data scientists — Re-ViVE is built for exactly that.

What is Process Mining?

Process Mining in simple terms is using software to find what people in your company actually do, and having the software describes those actions to you in the form of different processes.

Technically speaking, Process Mining refers to a family of approaches which look at data from the event logs to notice people in the company are doing. Just by looking at the steps someone takes to finish a task, a particular process can be automatically constructed with the help of process mining tools Continuously gathering such data over the time helps you see where the inefficiencies lie within the process.

What are the Benefits of Process Mining?

Process Mining provides various benefits to the business owners as well as the organizations. However, the most significant advantages include:

Understanding how a process is performed

Although business owners are well aware of their processes from a theoretical point of view like what exactly will happen, when, who is responsible for what and under which circumstances. But they do not have a way out how to investigate what exactly is happening throughout the process lifecycle. But the process mining tools focus on making it easy to digest and to exploit.

Cost Savings

Process mining tools facilitate cost savings by enhancing the productivity of employees. The overall process time can be significantly reduced by laying stress on the pain points.

 Enhancing the Process Flow

Process mining tools can augment the flow of process by knowing the actual flows, frequencies, and delays in the process. The details of IT systems can track big volumes of useful information, thus making it feasible to switch one step to another in the process.

Enhances the efficiency of auditing

With the help of process mining tools, you can conduct audits in an efficient manner, and avoiding opinion-based discussion.

How does Process Mining Works?

One of the greatest advantage of process mining is that it analyzes any particular process in a skeptic way. For instance, let us consider a process that comprises of 5 activities namely A, B, C, D, E, and analyze how the 3 past items going through this process can assist in learning more about it. Process Mining involves analyzing all possible patterns based on the historical data and thus creating a highly visual process map for the investigations.

Liberalization, privatization and globalization have turned the scenario of business in most countries and thus the growth of technology and innovation has become the prime means to survive situations of disruption. Processes demand more simple and easy format to follow in order to be more progressive and developmental thereby giving gains and savings to firms and organisation involved.

Tools and techniques with artificial intelligence

Many of the companies dies out in the recent times due to their inability to catch up and match to the market competencies and changed demands which clearly shows how important it is to mend ways and adjust to the dynamism of business models. Process mining tools are one of those few helpful tools that determines the event process based on the logs hence promoting understanding of the process and its efficient working. With advancing technology artificial intelligence incorporation has almost become a mandate to keep track of methods and performances along with balanced scorecard tools which otherwise help in maintaining proper record of the process and quality delivered.

The need for adopting new tools and techniques

Some companies follow continuous process of improving their working environment. For such companies, various parameters are to be taken into account to improve their functioning. The assessment of all these parameters is done through the help of process mining tools so that programmers can easily identify the features to measure. The decision making process of any company will require a measure of the past performances and current practices. When the balanced scorecard tools are put into use for such measures, there can be good quality assessment. In this kind of technique, the best assessment can be undertaken towards improving the overall feature of working to add efficiency.

• In balanced scorecard tools, various parameters added to understand the efficiency

Target of various parameters in a working environment should be towards adding to the overall efficiency at workplace. The different systems have to be planned so as to assimilate the best features and get the right direction of the processes. Process mining tools are being used by most companies to get to the right processes, whereby asking proper questions is essential.