INTELLIGENT PROCESS MINING
Process mining and operational analysis
A month-end close that should take four days takes nine, and nobody can say exactly where the extra five went. You cannot fix, and should not automate, a process you cannot actually see. Intelligent process mining replaces the assumption with evidence, read straight from the event logs your systems already produce.
- The true as-is process, reconstructed from your own event logs
- Bottlenecks and rework loops ranked by their cost in time
- A ranked, evidence-backed backlog of what to fix and automate
Five things your logs already know, that nobody has read.
Process mining reconstructs how a process really runs by reading every timestamp, status change, and hand-off your systems record. From those logs it builds the true process map, not the idealized one, and shows you where reality diverges from intent.
The real path
Every variant of how the process actually flows, including the ones nobody documented.
The bottlenecks
Where cases wait, pile up, and stall, ranked by their cost in time.
The rework loops
The steps that repeat, reverse, or bounce back, quietly consuming capacity.
The conformance gaps
Where the process deviates from the compliant or intended path, and how often.
The automation candidates
Which steps are high-volume and rules-based enough to hand to a bot, and which are too variable and belong to AI agents.
Automating a broken process just makes it break faster.
Mining is only valuable if it ends in action.
Scope and connect
We agree the process in question and connect to the source systems, extracting the event logs that describe it.
Reconstruct the process
We build the as-is process model, surfacing every variant, loop, and wait state exactly as the data records them.
Diagnose
We quantify bottlenecks, rework, and conformance breaches, then trace them to root cause rather than symptom.
Prioritize the fixes
Each opportunity is sized by value and sorted into the right response: redesign the flow, automate a step, or orchestrate the whole with iBPMS.
Monitor continuously
Mining is not a one-time audit. We stand up ongoing monitoring so improvement is measured and regressions are caught early.
What you leave with: a ranked, evidence-backed improvement backlog. The same input a good automation assessment needs before a single bot is built.
Enter where you need to, from a one-time discovery to continuous monitoring.
Process Discovery and Mapping
The true as-is process, reconstructed from your event logs.
Root Cause Analysis
The why behind a bottleneck or breach, not just the where.
Process Performance Monitoring
Continuous visibility into cycle time, throughput, and conformance.
End-to-End Process Automation
Turning mining findings into automated, orchestrated flows.
Mining is the cheap insurance every downstream investment needs.
The most expensive automation projects are the ones that scaled the wrong step because nobody looked first.
Mining makes every downstream investment, RPA, low-code, and orchestration, land where it pays. When findings turn into builds, our dedicated teams carry them from insight to running system.
[XX%] of cycle time is typically traced to a handful of steps, and the path from logs to a ranked fix list usually takes [X weeks]. Placeholders, industry-typical; Softobiz to verify.
Finding the hidden five days is usually the first win.
Outcome: For a global enterprise client, we mined [X] core processes, traced [XX%] of cycle time to a handful of steps, and produced a ranked fix list that redesigned the flow before a single bot was built. Softobiz to supply verified engagement and metrics.
What operations leads ask before week one.
Usually yes. The documented process and the real one rarely match, and mining reads the real one from your event logs, including the variants and rework nobody wrote down.
The event logs your systems already produce. A case id, an activity, and a timestamp per step is enough to reconstruct the flow, and we scope and connect to the source systems in the first phase.
Both are options. Many engagements start as a one-time discovery and move to continuous monitoring, so improvement is measured and regressions are caught early.
The fix list hands directly to the right capability.
Automation Advisory and Consulting
Turn the mining backlog into a scored, fundable automation plan.
Robotic Process Automation
Execute the rules-based, high-volume steps mining flagged as fit for bots.
Business Process Management
Run the multi-step, multi-system flow as one governed process.
Bring us a process that takes too long. And that nobody can fully explain.
We will show you, from your own data, exactly where the time goes and what to do about it.