Process discovery and conformance
Event data reveals variants, waiting, rework and control deviations across real operating paths.
Process and transformation
Reveal how work happens, then redesign it with control.
We combine process evidence, decision models, workflow engineering and human oversight to improve complex operations without automating broken work or weakening accountability.
What we bring
Capabilities built for operating reality.
Technology, methods and governance are designed as one system with clear ownership, evidence and feedback.
Object-centric operations
OCEL-style models preserve relationships among orders, materials, customers, assets and invoices instead of forcing one case ID.
Workflow and decision models
BPMN, DMN and CMMN separate process flow, operational rules and case work for clearer ownership.
Controlled automation
APIs, event-driven services, RPA and bounded agent workflows are selected according to stability, risk and reversibility.
Our solution architecture
Technology depth, shown in operating context.
Each visual is paired with the part of the solution it supports, connecting production technology, system boundaries, controls and operating evidence.
Event and object model
ERP, CRM, ticketing, workflow, files and human tasks are converted into governed event records with identity, object and time semantics.
Process and conformance mining
Case-centric and object-centric views expose actual variants, waiting, rework, control bypass and cross-object dependencies.
BPMN, DMN and case design
Process flow, decision rules and knowledge-intensive cases are separated into reviewable models with named owners.
Automation selection
API integration, event-driven services, workflow, rules, RPA and bounded agents are chosen according to stability, exception load and reversibility.
Control-by-design
Segregation of duties, approvals, identity, audit, fallback and human takeover are embedded before automation is released.
Digital process evidence
SLA, quality, exceptions, conformance and outcome telemetry support continuous improvement and controlled process evolution.
Reference architecture
A connected production flow.
The architecture makes responsibilities, interfaces, decision points and operating evidence visible from source to outcome.
Events
Business-system events, logs, CDC and human tasks.
Model
Identity, time, object and process semantics.
Discover
Variants, conformance, bottlenecks and root causes.
Orchestrate
Workflow, rules, integrations and human checkpoints.
Improve
SLA, quality, control and outcome feedback.
Standards and governance
Methods anchored in durable frameworks.
Standards are applied according to scope, system layer and jurisdiction. They inform architecture and controls without being presented as certification claims.
BPMN 2.0.2, DMN 1.5 and CMMN 1.1
Process, decision and case models provide durable, reviewable operating logic.
IEEE XES and OCEL 2.0
Event-log structures support process mining from case-centric to multi-object operations.
ISO 9001 and CloudEvents
Quality discipline and event interoperability support continuous, observable transformation.
Evidence of value
Measure the system, not one model score.
Evaluation combines business outcome, system quality, operating reliability and governance evidence.
Flow performance
End-to-end lead time, waiting ratio, first-pass yield, rework and SLA attainment.
Automation quality
Straight-through processing, exception recovery, human takeover and unit cost.
Control effectiveness
Conformance, approval completeness, access discipline and versioned rollback readiness.