PROCESS DISCOVERY AND MAPPING
Evidence-based process discovery and mapping
Workshops produce the process people believe they run. Process discovery and mapping produces the process they actually run, reconstructed from the digital footprints your systems already record. By reading event logs from ERP, CRM, and service platforms, we rebuild the true as-is flow: every path, every loop, every handoff, and every exception a whiteboard session would never surface. The result is a shared, defensible picture of how work moves today, and the starting point for any credible automation or redesign decision.
- A model built from what happened, not from what was designed
- Variants, loops, and rework exposed with the cases that drive them
- An evidence-led shortlist of what to automate, standardise, or redesign first
Process mining converts raw system transactions into a living map.
Each layer adds evidence, not opinion. Because the model is built from what happened, not what was designed, it holds up in front of process owners, auditors, and finance. Discovery sits inside our Intelligent Process Mining practice and is a core input to Intelligent Automation overall. Extraction, event log construction, a discovery algorithm, variant analysis, and conformance mapping. A picture that holds up in front of process owners, auditors, and finance.
Data extraction
Pull transactional records from source systems: ERP, CRM, ITSM, and custom apps. Start from the systems that already hold the trail.
Event log construction
Assemble case ID, activity, timestamp, and resource into a mineable log. Clean identity, clean timeline, clean evidence.
Discovery algorithm
Reconstruct the real as-is process model from observed behaviour. The flow you run, not the flow you drew.
Variant analysis
Rank every path taken, from the happy path to the long-tail exceptions. See how often the standard path is actually followed.
Conformance and mapping
Compare reality against the intended process and flag deviations, loops, and rework. Where reality diverges, and why.
Prioritised shortlist
A ranked map of what to automate, standardise, or redesign, by frequency, effort, and value. The next investment is evidence-led.
Map the process you actually run, not the one you remember running.
A defensible as-is map, and a ranked list of what to fix first.
- A verified as-is process map covering the full flow, including variants that never appear in documentation.
- A variant and frequency breakdown showing how often the standard path is followed versus worked around.
- Bottleneck and rework hotspots located precisely, with the cases and steps that drive them.
- An automation and redesign shortlist, ranked by frequency, effort, and value, so the next investment is evidence-led.
Five steps, from raw transactions to a shortlist you can act on.
Scope the process
Identify the process and the systems that hold its digital trail.
Extract and construct
Build the event log, resolving case identity and data quality issues.
Discover the as-is model
Reconstruct the real flow and validate it with the people who own the work.
Analyse variants and conformance
Expose where and why reality diverges from the intended process.
Prioritise action
Hand over a ranked map of what to automate, standardise, or redesign first. To act on it, pair discovery with Process Automation and Optimization and Root Cause Analysis.
Built on your event data, on the mining platform that fits.
A representative stack by layer. We work with your existing platform where you have one, or stand one up as part of the engagement.
We work with your event data on leading platforms or stand one up for you. See our UiPath partnership. Figures are placeholders; Softobiz to verify against your environment.
From a workshop guess to a map that survives an audit.
Challenge: A [global enterprise client] planned an automation programme on a hand-drawn process map that hid [X] variants and the rework driving cost.
Result: An evidence-based as-is model, the long-tail variants exposed, and a ranked shortlist that re-sequenced the roadmap. (Softobiz to verify.)
The rest of the process mining practice.
Process Performance Monitoring
Continuous mining that catches throughput decay and conformance drift as it happens.
Root Cause Analysis
Trace a bottleneck or rework loop back to the driver behind it.
End-to-End Process Automation
Orchestrate people, bots, and AI into a single governed flow once the map is agreed.
Intelligent Process Mining
The parent practice these services belong to.
What process owners ask us first.
That work watches user interactions to find task-level automation candidates. Process discovery and mapping works from system event logs to reconstruct the end-to-end business process, so the two are complementary: one finds the tasks, the other reveals the flow they sit inside.
A transactional extract with a case identifier, an activity name, and a timestamp. Most enterprise systems already log all three; we handle the extraction and cleansing.
No. We work with your event data on leading platforms, including UiPath Process Mining and Celonis, or stand one up as part of the engagement.
Turn your event logs into an evidence-based process map, and a ranked list of what to fix first.
The real as-is flow, the variants that hide in documentation, and the shortlist that makes the next automation decision defensible.