Find the money leaking in your processes
You suspect there's waste in your processes, but without a number you can't justify fixing it or measure the benefit once you have. The gap stays invisible on the P&L. Process mining measures what actually happens, from the event logs your systems already generate, and turns the hunch into a figure finance will fund.
Get the numberWhat a gap you can't measure actually costs
A gap you can't quantify is a gap finance won't fund fixing. Nobody approves investment against a hunch. So the leak continues, quietly compounding, until something forces the question: a bad quarter, a lost contract, or a competitor who found their number first.
How to calculate the cost of process inefficiency
Process cost hides in three places most reporting never surfaces:
- Rework loops. Cases that ping-pong between teams, a rejected approval, a data-entry correction, a returned form. Each loop is real hours nobody logged as waste.
- Cycle-time drag. The gap between how long a process should take and how long it actually takes. A two-hour delay on the wrong step can carry a monthly cost in interest, penalties or lost throughput.
- Variant sprawl. The number of different paths the same process actually follows. Ten "exceptions" that turn out to be the norm are ten hidden cost centres.
You quantify it by measuring the real path, cycle times, rework rates and bottlenecks, against the intended one, then costing the difference. That's process mining: it reconstructs every execution path from the logs your systems already produce, so the number is measured, not estimated.
The proof: a six-figure gap nobody had measured
Recent proof-of-value work mined a client's event logs and surfaced a six-figure annual gap they had no number for, driven by rework loops and cycle-time drag that never showed up in their reporting. Scoped to land a measurable figure in weeks, not a multi-month programme.
Questions worth asking before you commit
How do you put a number on it?
We mine the event logs your systems already produce and measure actual cycle times, rework loops and bottlenecks against the intended path.
Do we need clean data first?
No. Mining works from the logs as they are; we handle reconciliation.
How long until we see a number?
The proof-of-value is scoped to land a measurable figure in weeks, not a multi-month programme.
What if there's nothing to find?
Then you have evidence of a healthy process, also a decision-ready result.
Find the money leaking in your processes
Turn the hunch into a figure.