Process Mining — What Is It and How Does It Help Companies Save? [2026]
Process Mining — what it is, how it works, tools, and ROI. Implementation examples and practical guide.
Process Mining — What Is It?
Imagine being able to see every step of every process in your company — not as employees described it in workshops, but as it actually unfolds in reality, step by step, with timestamps and names, based on hard data from IT systems.
That is Process Mining — a technology that transforms system logs into a visual process map, revealing bottlenecks, deviations from the standard, and hidden losses. In 2026, Process Mining is one of the key digital transformation tools for companies that want to base decisions on data rather than opinion.
Definition and How It Works
Process Mining is an analytical technique that reconstructs the actual flow of business processes from event logs in IT systems.
Where Does the Data Come From?
Every ERP, CRM, WMS, or ticketing system records the time and type of every operation: who did what, and when. An invoice is entered at 9:14, approved at 14:23, paid 18 days later. An order placed, blocked due to a stock shortage, unblocked, dispatched late. These logs are a raw mine of process knowledge.
How Does the Process Mining Engine Work?
- Data extraction — the tool connects to ERP systems (SAP, Comarch, Dynamics) or a data warehouse and retrieves event logs.
- Process reconstruction — algorithms convert logs into process models (flow graphs), reconstructing all the variants through which cases have moved.
- Analysis and comparison — the actual process is overlaid on the “ideal” model (as-is vs. to-be), revealing deviations.
- Problem identification — the tool pinpoints: where the bottleneck is, which cases deviate from the standard, where cases wait the longest.
What Does Process Mining Reveal?
Things that no flowchart drawn by employees will ever show.
Actual Cycle Time vs Declared
Management believes an invoice is processed in 3 days. Process Mining shows that the median is 11 days, and 20% of invoices exceed 30 days.
Deviations From the Standard (Rework Loops)
For example, 34% of purchase orders require correction before approval — meaning the same work is done twice. The cost of this “looping” is invisible without data analysis.
Bottlenecks and Resource Allocation
Which individuals or departments are overloaded? Where does a process stall and wait? For example, invoices are approved by one person — everything grinds to a halt when they are on holiday.
Compliance Violations
Have all purchase orders passed through the required authorisation? Process Mining reveals cases that bypassed mandatory steps — before a controller or auditor does.
Benchmarking
Comparing processes between branches, regions, or teams — which one executes the process most efficiently and why?
Process Mining Applications
Finance and Accounting
Analysing the purchase-to-pay (P2P) and order-to-cash (O2C) processes is a classic application. Results: shorter billing cycles, reduced duplicate invoices, improved cash flow. Service companies report a reduction in DSO (Days Sales Outstanding) of 5–15 days after implementation.
Logistics and Supply Chain
Mapping the process from order to delivery (procure-to-deliver) reveals where packages wait, why returns are costly, and which stages generate the most delays. One Polish logistics operator reduced the average complaint handling time by 40% after deploying Process Mining.
Customer Service
Analysis of service tickets shows how many times a case is passed between departments, where it stalls, and why similar problems are resolved in varying timeframes. This is the foundation for standardisation and automation.
HR and Onboarding
HR processes — hiring, onboarding, employee offboarding — often have dozens of variants. Process Mining reveals which steps are skipped, where documentation gets stuck, and why onboarding takes 3 weeks instead of the planned one week.
Process Mining Tools — Celonis, Disco, ProM
| Tool | Type | Price (approximate) | Strengths | Best for |
|---|---|---|---|---|
| Celonis | Commercial SaaS | from €50,000/year | Widest SAP integration, AI-powered insights, industry accelerators | Corporations, SAP-based companies |
| SAP Signavio | Commercial (SAP) | from €30,000/year | Native SAP S/4HANA integration, BPMN modeller | Companies in the SAP ecosystem |
| Microsoft Process Mining (Power Automate) | Commercial (MS) | included in M365 E5 or from ~€200/month | Power BI, Power Automate, Azure integration | Companies with Microsoft 365 |
| Disco (Fluxicon) | Commercial | from €3,500/year | Ease of use, fast start, good for analysts | Companies with 50–500 employees |
| ProM | Open-source | Free | Largest algorithm library, flexibility | Research, pilots, IT teams |
| Apromore | Open-source / Enterprise | Free / from $10,000 | Academic roots, good UI, cloud version | SMEs with an IT team |
| QPR ProcessAnalyzer | Commercial | from €15,000/year | Strong in continuous processes, manufacturing | Manufacturing, public sector |
Note for SMEs: Companies with Microsoft 365 Business Premium or E3/E5 should check Microsoft Process Mining — it is available in their subscription at no additional cost. This is the natural starting point before potentially moving to Celonis.
Pricing 2026
Process Mining implementation costs depend on the complexity of the IT environment and the number of processes to be analysed.
| Scenario | Tool | Licence cost/year | Implementation cost | Total year 1 |
|---|---|---|---|---|
| Pilot (1 process, SME) | MS Process Mining or Disco | £0–6,000 | £5,000–15,000 | £5,000–21,000 |
| Mid-market deployment (3–5 processes) | Disco, Apromore, QPR | £5,000–25,000 | £15,000–50,000 | £20,000–75,000 |
| Enterprise (SAP, full scope) | Celonis, SAP Signavio | £80,000–200,000 | £120,000–400,000 | £200,000–600,000 |
Key caveat: The biggest cost is not the licence — it is the time spent on data extraction and cleaning. Companies whose ERP systems do not have well-organised event logs may spend 40–60% of project time preparing data. This is why it is worth assessing data maturity before purchasing a licence.
ROI From Process Mining
Where Does the Return Come From?
Process Mining does not save money directly — it provides the knowledge that enables savings. ROI comes from:
- Automating processes identified as candidates (RPA, workflow automation)
- Reducing rework (work done twice due to errors or non-compliance)
- Improving compliance — avoiding penalties, audit problems, losses on duplicate payments
- Benchmarking — transferring best practices from one department to all others
ROI Example
A trading company with 250 employees, Process Mining implemented on the P2P (purchase-to-pay) process:
- Implementation cost: PLN 80,000
- Annual licence: PLN 30,000
- Savings identified:
- Elimination of 15% duplicate payments → PLN 120,000/year
- Reduced invoice approval time → release of 1.2 FTE → PLN 90,000/year
- Reduction of late payment penalties → PLN 40,000/year
- Total annual savings: PLN 250,000
- Return on investment: approx. 9 months
According to Celonis research, the average ROI from Process Mining implementation in B2B companies is 6–12 months, and the 3-year NPV of an enterprise deployment exceeds 10× the implementation cost.
FAQ
1. How does Process Mining differ from traditional process mapping (e.g. BPMN)?
Traditional process mapping is a model of “how we think the process looks” — based on employee interviews and observations. Process Mining shows “how the process actually looks” — based on hard data from systems. The difference can be dramatic: companies often discover that their real process has 40–80 variants, while the BPMN mapping showed 3–5.
2. Does Process Mining require replacing the ERP system?
No. Process Mining works on data from existing systems — SAP, Comarch, Dynamics, Salesforce, ticketing systems. The tool connects to the database or data warehouse and retrieves logs. No modification to the source system is required.
3. How long does a Process Mining implementation take?
A pilot on one process: 4–8 weeks. Full enterprise deployment: 3–6 months. The biggest variable is data quality and availability. Companies with well-maintained ERP systems can launch a pilot in 2–3 weeks.
4. Is Process Mining GDPR-compliant?
Yes, provided that personal data in the logs is anonymised or pseudonymised. Logs often contain employee identifiers — processing them requires a legal basis (legitimate interest of the employer) and transparency towards employees. Vendors such as Celonis hold ISO 27001 certification and standard GDPR contractual clauses.
5. Where should an SME start with Process Mining?
The best start is a pilot on one well-defined process — for example the invoicing or order processing process. Before selecting a tool, it is worth assessing whether your ERP systems generate appropriate event logs. If you use Microsoft 365 — check Microsoft Process Mining. If you want to first map the potential across the whole company, use the AiP Audit.
Start With a Diagnosis, Not a Licence
Process Mining is a powerful tool — but only when you know what you are looking for. Companies that buy a Celonis licence without preparation often spend 6 months organising data rather than analysing it.
The AiP Audit from QA10 assesses data and process maturity in your company, identifies which processes have the greatest analytical potential, and defines which implementation path will deliver ROI fastest.
Order the AiP Audit and start Process Mining from the right end →