Timing and frequency analysis
How long each activity and each case takes, how often it runs, how much of the workday it consumes, and how time is distributed across systems, teams and clients.
Integrated layer
Process mining and task mining, integrated.
Deep Task Mining™ brings the observed employee work and the business data inside the applications — and it does not need your event logs to start. Where event logs already exist and are usable, Process Mining is layered on to extend coverage into the system-recorded layer. Together they explain what the work costs, why it behaves that way, and which change is worth making first, with the evidence still attached to every number.
The input problem
Automation is only as good as the evidence underneath it.
Process documents hold high-level information — the intent, not the execution. They do not show the swivel-chair steps between applications, the rework loops or the judgement calls people make on screen. Process Intelligence is where that missing evidence is assembled into something a decision can rest on.
Process mining sees the shape. Task mining sees the detail. Stereo sees both.
What it produces
What Process Intelligence turns discovered activity into.
Every item below is derived from observed work, so each number can be opened up and traced back to the activities and screens behind it.
Process variation
Where the same process is performed differently, and how far daily practice has drifted from the standard the organization believes is in place.
Bottlenecks and deviations
Where cases queue, stall or take a path that should not exist, including missing steps, extra steps and out-of-sequence work.
Root causes
Why the delay happens — a legacy system, an awkward interface, poor incoming data quality or a handoff between teams — traced to the step that produced it.
Productivity and effort comparisons
Effort compared across teams, sites and case types, with the time consumed by non-value-adding activity made explicit.
Improvement opportunities
Each opportunity sized in time and effort so it can be ranked against the others, rather than collected in a list.
What teams receive
What it delivers to the people who have to make the change.
Analysis that stays inside the tool changes nothing. These are the artifacts that leave it.
- Process maps. The discovered process, end to end, with time and frequency against each activity.
- SOPs and process definition documents. Standard operating procedures and process definition documents built from how the work is actually performed, with screenshots at each step and the business-data dictionary alongside them.
- Exports your other platforms can read. BI-ready datasets, plus Visio, XPDL, BPMN and Blue Prism-compatible formats, so the evidence can be used by the teams who will act on it.
- Requirements and use cases. Business requirements in standard use-case format, for teams implementing on BPM, ERP or other platforms.
- Operational baselines. A measured before-state, so the business case and the result can be compared on the same terms.
- Prioritized improvement opportunities. Sized in time and effort, ranked by what they are worth rather than by who raised them.
Sequence
Why the baseline comes first.
Automating a process nobody has measured automates the waste inside it. The same is true of an AI pilot, a system replacement or a target operating model: without a measured before-state, the improvement is an assertion.
A baseline built from observed work is what makes both the business case and the eventual result defensible — to a finance partner, to an internal audit team, and to the executive who approved the spend.
When the baseline needs to be bounded
Where a team needs proof on a defined scope and a fixed timeframe rather than a platform decision, the 30-Day Value Leakage Audit is the paid evidence step: one operational area, quantified in hours and dollars, with the method written down.
Why the order matters.
Diagnostics
Diagnostics beyond KPIs.
Being told that a team spends too long updating client records is not an answer. Process Intelligence carries the evidence underneath the number.
The cause, not just the measure
Whether a delay is a one-off or a repeating pattern, and what is producing it — a legacy system, an interface, incoming data quality or a collaboration gap.
Replay of the actual work
For a given measure, a detailed replay of the activities behind it: the screens used, the time spent and the systems involved.
Effort expressed as FTE
Detected inefficiency is expressed in effort, so an improvement or automation case rests on measured hours rather than estimates.
Conformance to the standard
Where a best practice exists, deviations, missing steps and steps that should not be performed are visible by team and by case type.
Turning analysis into a decision
Where this becomes something you can act on.
Start from the problem
Cost and capacity, transformation, automation readiness or standardization — start with the outcome you are being asked to quantify.
Start from the problemExplore solutionsProve it on a defined scope
One operational area, quantified in hours and dollars, with the method documented.
Prove it on a defined scope30-Day Value Leakage AuditSee the layers underneath
Process Intelligence only reads as well as the discovery beneath it: the process-level map and the detailed activity inside the applications.
See the layers underneathProcess DiscoveryAI in this capability
Built on AI recognition. Measured deterministically.
Process Intelligence sits on top of approved recognition outputs. That ordering matters when someone asks how a number was produced.
- Upstream, AI recognizes applications and screens, detailed activities, business data and decisions — the raw material this layer measures.
- A process engineer approves that recognition before it reaches measurement, so errors are caught before they become findings.
- The measurement itself is deterministic, running on proprietary patented algorithms rather than a model. Timing, variation, frequency, bottlenecks and rework are calculated from approved evidence, so a finance team or an auditor can re-run the result and get the same answer.
Reconstruction
From observed work to an end-to-end process
- A case is one execution of the work, tied to a client-defined identifier.
- A case trace is the ordered set of activities for that case.
- An end-to-end process is the model built from multiple case traces.
Stereologic assembles case traces from approved, recognised activity, then combines them into end-to-end paths and variants. Assembly is deterministic: the same evidence produces the same result.
Take the next step
Turn operational evidence into a decision you can defend.
Bring one operational area and the number you are being held to. We will show how discovered activity becomes timing, variation, root causes and a ranked set of opportunities with the method attached.