01 · Process Mining
Reconstruct the process from evidence.
Discover end-to-end flows, variants, bottlenecks, waiting time, rework and conformance issues from the event data already generated by your systems.
Process intelligence
for real change
Turn process insights into real business improvement.
We uncover how work actually happens, identify where value is being lost, and turn operational evidence into clear improvement decisions. From Process Mining and Task Mining to Data Science and implementation, PROCOGNEX connects analysis with the business context required to make change happen.
Process Mining
Task Mining
Data Science
Business Context
Change
Intelligence model
evidence → context → action
PROCOGNEX
Process
Intelligence
Intelligence
Process Science
Process Mining
Data Science
Analytics & AI
Business
Context & Value
Transformation
Change Management
Work execution
Task Mining
Process science × data science × business context
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Process Mining
Task Mining
Data Science
Business Context
Change Management
Operational Excellence
Automation
Measurable Impact
Process Mining
Task Mining
Data Science
Business Context
Change Management
Operational Excellence
Automation
Measurable Impact
01 · Discover
See reality.
Reconstruct how work actually flows across systems and teams.
02 · Understand
Explain friction.
Connect bottlenecks and variants with their operational causes.
03 · Prioritise
Find the value.
Focus investment on improvements with meaningful business impact.
04 · Change
Make it happen.
Turn evidence into implementation, adoption and measurable results.
What we do
From operational data
to better decisions.
Technology is only useful when it helps the organisation make a better decision. We combine process evidence, task-level behaviour, analytical methods and business context to identify where improvement is possible — and what should happen next.
02 · Task Mining
Understand how work is performed.
Reveal manual activity, repeated work, user-level variation and realistic opportunities for simplification and automation.
03 · Data Science
Move from insight to prediction.
Apply analytics, machine learning and AI where they improve prioritisation, risk detection and decisions.
04 · Business Context
Make the evidence meaningful.
Connect analytical findings with objectives, controls, operating models and real organisational constraints.
05 · Change
Turn findings into improvement.
Translate evidence into a practical roadmap, implementation decisions and measurable operational change.
Why PROCOGNEX
Analysis is not
the finish line.
Many analytics projects successfully explain what is happening but stop before the organisation actually changes. We design our work around the connection between evidence, decisions and execution.
Evidence before assumptions.
We start from operational evidence and reconstruct what is actually happening before deciding what should change.
Business context around the data.
A bottleneck is not automatically a problem. We interpret analytical findings within the objectives, constraints and operating model of the organisation.
Strategy connected to engineering.
We do not stop at recommendations. Technical capability and engineering are part of the path from identified opportunity to operational solution.
Improvement measured after implementation.
The goal is not another dashboard. The goal is measurable improvement in how the organisation operates.
Industry experience
Complex processes.
Real operating context.
Process patterns may look similar across organisations, but operational context never is. Our experience spans transaction-heavy, regulated and operationally complex environments.
Payments & Financial Services
Transaction flows, exceptions, settlement, onboarding, controls and back-office operations.
Insurance
Claims, case handling, service operations, compliance and process performance.
Airports & Aviation
Turnaround, ground operations, passenger flows and operational coordination.
Healthcare
Patient journeys, administrative workflows, care pathways and resource coordination.
Public Sector
Citizen services, case management, administrative workflows and accounting processes.
Industrial & Manufacturing
SAP processes, production, logistics, materials and operational efficiency.
Interactive Process Lab
See the as-is.
A simplified demonstration of process discovery. Event data is transformed into execution paths so variants, rework and operational friction become visible.
Live process replay
How we work
Evidence.
Decision.
Change.
We structure engagements around a simple principle: understand reality first, determine where change creates value, then build a practical path from insight to implementation.
Discover
Assess the process, available data, systems and operational problem.
Diagnose
Identify variants, bottlenecks, root causes, risks and improvement opportunities.
Design
Prioritise use cases and create a clear roadmap across process, data, automation and technology.
Deliver
Build, integrate, support adoption and measure whether the change actually worked.
Start with a process
Bring us the problem.
We find the process behind it.
Whether you already have Process Mining in place or are still trying to understand where the operational friction is, we can start from the process, the data or the business problem.