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Top 7 Use Cases of Process Mining in Finance [2024]

Top 7 Use Cases of Process Mining in Finance [2024]Top 7 Use Cases of Process Mining in Finance [2024]

Process mining can be applied in multiple business areas in the financial services industry, such as Purchase-To-Pay, audit, and accounts payable to increase business efficiency and gain a comprehensive overview of business processes to implement and monitor digital transformation strategies

This article provides a list of process mining applications and recommendations for financial institutions and businesses that want to leverage process mining. 

Some general and specific use cases of process mining include:

1. Increase process efficiency by discovering bottlenecks

Process mining can be applied to different financial processes that generate event logs such as account payables (AP), receivables (AR), and procurement to visualize process execution and identify bottlenecks. 

Process Mining can provide strategies and recommendations to eliminate process inefficiencies. For example, in claims settlement, mining can identify root causes by measuring the average amount of time to settle a claim.

2. Discover automation opportunities

Leveraging process mining provides insights about processes that can benefit from automation. For example, process mining allows financial organizations to discover the possibility of automation in transactions such as:

  • purchase-to-pay processes that take longer due to mistakes and manual interventions can be enhanced by implementing automation solutions such as RPA
  • Invoice processes where automation can enable quicker and less costly invoicing by automating repetitive tasks such as data extraction from PDFs.

You can read our in-depth article to learn more on how to implement RPA in finance.

3. Compliance checking

Process mining enables financial institutions to monitor and log process improvement overtime to ensure that their processes are audit-ready. Process mining also provides conformance check and root cause analysis, allowing financial institutions to compare their processes against rules and regulations and analyze the reasons behind the deviations.  

To learn more on specific applications of process mining in compliance and audit:

4. Maverick buying in purchase-to-pay

Banks can leverage process mining in purchase-to-pay, which refers to a company’s entire purchasing process. For example, Process mining can help reduce maverick buying (i.e. purchases of employees without informing the procurement department). Process mining enables the user to check the necessary steps in a P2P process, including:

  • Generating a receipt after a purchase order (PO)
  • Matching the PO to a contract: There should not be a PO without a contract (especially if the amount of orders is large in quantity and regular)

5. Root causes for delays and incorrect invoices

Process mining enables users to discover the root causes of delays within the departments. Banks can uncover the reasons for the late fees (e.g. credit card debt payment, loan payments) and minimize late costs, for example, by introducing incentives to customers who pay their debts on time. Also, process mining allows banks to identify the root causes for mistakes and duplicate payments that generate extra workload. 

6. Customer satisfaction

Some process mining techniques (e.g. process discovery) can constantly monitor processes in real-time. Such monitoring enables companies to optimize their processes which increase customer satisfaction. 

For example, process mining can help financial service providers to understand customer behavior by discovering customer engagement insights (e.g. length of call, pattern in issues). Banks that understand customer perspectives can change their operations to improve customer experiences. Process mining allowed many retail banks to discover customers’ difficulties during the bank account confirmation process and provide fast confirmation for opening a bank account. 

7. Risk mitigation 

Process mining helps financial service providers to avoid potential risks when they innovate or modify processes in their systems by constantly monitoring processes and providing data-driven insights and optimization opportunities. 


The best practices to apply process mining in finance include:

  • Understand the purpose and possible outcomes: Before applying process mining, providers must sort out the main purposes of the process mining application. For example, banks can update their website and FAQ section to prevent unnecessary customer calls. 
  • Ensure data quality and availability: To implement process mining, banks and financial institutions must identify, collect, and clean the data. 
  • Assure data security: Financial data is sensitive because it includes privileged customer information (e.g. spending records, credit score). To better protect customer data, financial organizations must leverage privacy-enhancing technologies, such as homomorphic encryption and zero-knowledge-proof to enable process mining users to process confidential data without exposing it to unauthorized individuals. 

Further reading

To discover process mining use cases in banking and insurance, and their benefits, feel free to read:

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.

Check out our comprehensive and constantly updated process mining case studies list to learn more real-life examples for process mining in finance.

And you can let us find you the right vendor:

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Access Cem's 2 decades of B2B tech experience as a tech consultant, enterprise leader, startup entrepreneur & industry analyst. Leverage insights informing top Fortune 500 every month.
Cem Dilmegani
Principal Analyst
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Hazal Şimşek
Hazal is an industry analyst in AIMultiple. She is experienced in market research, quantitative research and data analytics. She received her master’s degree in Social Sciences from the University of Carlos III of Madrid and her bachelor’s degree in International Relations from Bilkent University.

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