An honest guide for business leaders who want to know whether process mining would solve a real problem – or just add another dashboard.
A customer calls and asks where their order is. One colleague checks the order system, another looks through the warehouse emails, a third asks finance whether the invoice has gone out. Twenty minutes later, the customer gets an answer that is probably right.
Nobody did anything wrong. The process simply spreads across teams and systems, and no one can see the whole of it. Multiply that phone call by a few thousand orders a month, and you have a real cost that never shows up as a line in any report.
This is the kind of situation process mining was built for. But it is not the answer to every problem, and buying it too early is a waste of money. This guide helps you tell the difference.
First, a reality check
Seeing your processes more clearly is nice to have. On its own, it is rarely worth a budget line.
The value shows up when visibility meets a problem that already costs you something: late deliveries, late-payment fees, a stalled digital project, or results that vary for no obvious reason. Then the question is no longer "would it be interesting to see?" but "why does this keep happening, and where exactly?"
In plain terms, here is what process mining does. Every order, invoice or service request leaves a trail in your systems: what was done, by whom and when. Process mining collects those trails and turns them into a picture of how the work actually flows – including every detour, delay and workaround. Not how the process was designed. How it really runs.
So the right first question is not "do we need process mining?" It is "do we have a problem that we can't explain?"
Do you recognize these 6 signs?
If two or three of these sound familiar, process mining is worth a serious look.
1. People spend their days chasing where things are
Your team answers "where is it?" questions all day: an order, an invoice, a support ticket, an approval. The information exists, but it is scattered across systems and inboxes.
What you would see: exactly where each case is waiting, for how long, and which steps cause most of the waiting.
2. Everyone has an opinion, but nobody has the numbers
Everyone agrees that procurement is slow or that deliveries slip. Sales blames the warehouse, the warehouse blames purchasing. Your reports confirm that the numbers are off, but they can't tell you why.
This is where traditional reporting reaches its limit. A report tells you that a target was missed. Process mining shows you where in the process it was missed and what happened differently in the cases that went wrong.
What you would see: the facts that end the debate – which step, which team, which type of case.
3. The same work is done ten different ways
The official process is documented, but each team, site or country has its own version. Some skip steps, some add their own checks, some fix errors by hand afterwards. Harmonizing never quite sticks, because nobody knows which way actually works best.
What you would see: every variation side by side, and which ones deliver the fastest, cheapest and cleanest results.
4. You are about to automate, change systems or bring in AI
A new ERP, an automation program or AI agents are on the roadmap. All of them will copy your current process into a new form. If that process has detours and rework built in, you will simply get them faster.
What you would see: how the process really runs today, so you can fix it before you automate it – and pick the steps that are worth automating first.
5. You need to prove that the rules are followed
Auditors, regulators or your own board want evidence that approval limits are respected, that no step is skipped, and that the same person doesn't both order and approve. Today, proving it means sampling a handful of cases by hand.
What you would see: every case checked against the rules, not just a sample, with the exceptions listed so you can act on them.
6. Delays already cost you real money
Late-payment fees, missed early-payment discounts, penalty clauses, overtime, or customers who quietly stop ordering. When a slow process shows up on the income statement, it has become a business problem.
What you would see: where the costly delays start and how often they happen, so you can put a price on them and fix the ones that pay back first.
What the results look like in practice
When process mining is aimed at a real problem, the results show up in revenue, costs and capacity. Here is what five QPR customers found – each matching one of the signs above.
Metsä Board: 60% more volume with the same team
Sign 3: the same work done ten different ways
Only 40% of order lines at the European paperboard producer followed the agreed process. Management assumed it needed costly changes to its SAP system. The analysis showed the system wasn't the problem: teams simply handled the same situations in different ways.
With training instead of new software, 80% of order lines now follow the agreed path. The same team handles 60% more volume, and no extra SAP development was needed.
"The process insight and facts delivered by QPR ProcessAnalyzer were priceless. We were immediately able to focus our process improvement activities on the right things to reach the results our business needed."
Matti Ketonen
VP of Supply Chain, Metsä Board
Erste Bank Poland: millions in recovered lending revenue
Sign 6: delays already cost you real money
The bank found that about 37% of customers abandoned their digital loan application before finishing – not because they were turned down, but because they dropped out along the way.
By contacting those customers and helping them complete the application, the bank recovered several million złoty in additional sales.
La Poste Group: hidden money in purchasing and payments
Sign 4: you are about to change systems
In the middle of a major finance transformation, France's postal group saw its purchasing and invoicing process across two systems as one picture for the first time. It found duplicate invoices worth several hundred thousand euros in recovery opportunities, and used how the work actually ran – not assumptions – to set the rules for its new finance processes.
Ericsson: compliance checks on every transaction, not a sample
Sign 5: you need to prove the rules are followed
Ericsson's trade compliance team monitors 10–20 million new transactions every month. Instead of periodic manual reviews, unusual cases are flagged automatically, so experts can focus on the few cases that really need attention.
Fiduciary Trust International: rework hiding in plain sight
Sign 2: everyone has an opinion, but nobody has the numbers
At this wealth management firm, over 25% of account maintenance cases were caught in a loop of rejection and resubmission – invisible in standard reporting. With AI connected to its process data, the team also produced a complete training guide based on how the work really runs, in about 15 minutes.
4 signs it's not the right time (yet)
Process mining is not for everyone, and not for every moment. Be cautious if any of these apply.
1. The work doesn't run through your systems
If the process lives mainly in email, spreadsheets and phone calls, there is no reliable trail to follow. Process mining needs the work to leave footprints in a system – such as your ERP, CRM or service desk – with a record of each step and when it happened. The good news: most companies already have far more of this than they think.
2. Nobody in the business owns the problem
When IT runs process mining on its own, the result is often an impressive map that nobody acts on. The value comes when someone in the business owns the process, cares about the outcome, and has the mandate to change things.
3. You want to fix everything at once
Trying to map every process or every control on day one is the surest way to stall. Start with one process and one clear question. Prove the value, then expand.
4. You really just need a better report
If you already know where the problem is and only need to track a few numbers, a reporting tool may be enough. Process mining earns its place when you need to understand why things happen, not just how much.
Why the question matters more now
AI makes whatever process you already have run faster – including its mistakes.
Companies are now handing work to AI assistants and agents: checking invoices, answering customers, routing requests. To do that well, AI needs to know how the work really flows: what normally happens next, what counts as an exception, and where the rules apply. Without that understanding, AI repeats your detours and workarounds at machine speed.
That is why process mining is moving from a one-off analysis to a lasting foundation. It gives people, and increasingly AI, a shared and factual view of how the business actually runs. And once AI is in place, the same view shows whether it is really making things better.
A 5-question check: is process mining right for you?
Answer yes or no:
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Do we have a process problem that costs us money, time or customers – and that we can't fully explain?
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Does the work in that process run through our systems, such as ERP, CRM or a service desk?
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Is there someone in the business who owns the problem and can make changes?
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Can we start with one process and one clear question?
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Are we planning to automate, change systems or use AI in this area within the next year or two?
Three or more yes answers? Process mining is very likely worth exploring. One or two? Or none yet? Start by pinning down the problem and who owns it – the timing may be right sooner than you think.
