Process Intelligence for Automation

Identify the right processes to automate — and prove their impact with data

 Use process mining to discover automation opportunities, prioritize high-impact use cases, and maximize ROI — directly in your data platform.

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Why most automation initiatives fail

Most automation initiatives fail to deliver expected results — not because of technology, but because organizations automate the wrong processes.

Without a clear understanding of how processes actually run, automation efforts are often based on assumptions instead of real data.

Organizations struggle with:

  • Lack of visibility into real process execution

  • Automating inefficient or broken processes

  • Inability to prioritize high-impact opportunities

  • Difficulty measuring automation ROI

Process mining solves these challenges by providing a data-driven foundation for automation decisions.

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How to use process mining for automation:

1

Identify automation opportunities in real processes

→ Find manual, repetitive, and error-prone tasks from actual data

2

Quantify automation impact before implementation

→ Estimate ROI, time savings, and risk reduction

3

Prioritize the highest-value automation use cases

→ Focus on what delivers the biggest business impact

4

Monitor and optimize automation continuously

→ Track performance and improve over time

Get full visibility into how your processes actually run 

Process mining gives you a data-driven view of how your processes actually run — not how they are designed.

By analyzing event log data from your systems, you can identify manual work, bottlenecks, and inefficiencies that are ideal candidates for automation.

This allows you to focus automation efforts where they deliver the highest impact — reducing costs, improving efficiency, and minimizing risk.

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Identify the best processes for automation 

Process mining reveals where work is manual, repetitive, or error-prone — based on real process data.

Identify tasks that consume time, create bottlenecks, or require rework, and prioritize them for automation.

Focus your automation efforts where they deliver the highest impact on efficiency, cost, and quality.

🔹Detect manual and repetitive tasks automatically
🔹Identify bottlenecks and rework loops
🔹Prioritize high-impact automation opportunities

Measure and optimize automation performance 

Track how your processes perform before and after automation — using real execution data.

Measure the actual impact of automation on cycle times, costs, and process quality.

Continuously optimize automation by identifying deviations, inefficiencies, and new opportunities.

Featured Blog

Why Automation Fails to Scale—and How Object-Centric Process Mining Fixes It

Most automation initiatives fail to scale — not because of technology, but because they are built on assumptions instead of real process data.

Object-centric process mining provides a deeper, more accurate view of how processes actually run, helping you identify the right automation opportunities, eliminate inefficiencies, and scale automation with confidence.


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Prioritize the right automation opportunities — based on real impact

Not all automation opportunities deliver the same value. Use process mining to identify, compare, and prioritize the initiatives that create the highest business impact.
Rank automation opportunities based on real data

Identify and compare automation opportunities across your processes.
Focus on the initiatives that deliver the greatest impact on efficiency, cost, and process performance. 

Simulate automation impact before implementation

Estimate the expected benefits of automation before you invest. Understand how automation affects cycle times, resource usage, and overall process performance. 

Benchmark and track your automation maturity

Measure how advanced your automation is across processes and business units.
Identify gaps, track progress, and continuously improve your automation strategy. 

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Turn automation into measurable business impact

Automation alone doesn’t guarantee results. Process mining ensures you achieve, measure, and continuously improve the value of your automation initiatives. 

Analyze process complexity and automation readiness

Understand which processes are suitable for automation and where complexity may limit results. Focus on processes that deliver the best balance between effort and impact. 

Connect automation with real process execution

Link bots, workflows, and automation initiatives to actual process data.
Ensure automation is aligned with how processes truly run — not how they are assumed to work. 

Measure and continuously improve automation results

Track how automation impacts cycle times, costs, and process quality.
Identify new opportunities and continuously optimize performance over time. 

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How QPR ProcessAnalyzer helps you succeed in automation

QPR ProcessAnalyzer gives you a data-driven foundation for successful automation.
It helps you identify the right opportunities, measure impact, and continuously improve your processes — all based on real execution data. 
Discover how your processes actually run

Get a transparent, data-driven view of your processes across systems.
Understand real process flows, variations, and deviations — not just designed workflows. 

Identify the highest-impact automation opportunities

Automatically detect bottlenecks, manual work, and rework.
Focus your automation efforts where they deliver the greatest business value. 

Leverage AI to guide automation decisions

Use advanced analytics and AI to predict outcomes, identify risks, and optimize automation strategies.
Make smarter decisions based on data — not assumptions. 

Run process mining directly on your data platform

Analyze processes where your data already resides — without complex data movement.
Enable scalable, secure, and real-time process insights across your organization. 

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 Trusted by leading global companies 

"We get total visibility to our processes and data, there’s no longer a need for extrapolation and assumptions based on sampling."
Aurora Sunna Wärtsilä
Aurora Sunna, Advanced Audit Automation Analyst

Wärtsilä

“Thanks to QPR, we were able to demonstrate process bottlenecks to the broader management, identify optimization points and make recommendations to improve the consumer loan process.”
lambros-piraeus
Lambros Bessas, Senior Manager

Piraeus Bank

“ProcessAnalyzer essentially helped us to create a better workplace for our employees because we removed uncertainties from our business processes, and thereby from everyone’s work day. Better processes mean more peace of mind at work.”
Matti Ketonen MetsäBoard
Matti Ketonen, VP of Supply Chain

MetsäBoard

"Process mining is going to tell you exactly where the problem is. This gives management, process owners, and business analysts a lot of information that they never had in the past. Now, the information is right at their fingertips."
Nikolay Goldovich Sanofi
Nikolay Goldovich, Head of Data, Process and Automation

Sanofi

New to process mining? Start with the basics

Learn how process mining helps you identify inefficiencies, improve processes, and support automation initiatives.
Read more about process mining

Discover how much value you can unlock with the right automation decisions

See how process mining helps you identify, prioritize, and optimize automation — based on real process data.
Talk to an expert