Model the Flow.

Move the Business.

🔍 Data Analytics Methodology for Process Discovery

Process mining analyzes digital traces of organizational operations to reveal how actual processes work, enabling comprehensive process modeling and bottleneck identification.

Through timestamped event logs obtained from system records, it transforms raw data into actionable insights for process improvement and operational excellence across your entire business ecosystem.

Beyond traditional process mapping.
Discovering the reality of how work actually flows.

🧠 AI-Powered Intelligence: Process intelligence transforms data obtained from process mining into advanced decision support mechanisms by combining real-time analytics and AI-powered systems.

This approach doesn't just understand processes; it transforms them into a structure that continuously monitors and provides improvement recommendations. Intelligence that evolves with your business.

The Unspoken KPI of Process Intelligence

Most process frameworks track duration, cost, and compliance. But what we observe is more elemental: Momentum.

When momentum breaks, systems don't fail immediately—they drift, hesitate, and fragment under pressure. Now platforms like Celonis allow us to trace systemic fatigue and engineer coherence across flows.

Momentum is not a KPI.
It's the multi-dimensional system integrity.

🚨 Does your S/4 Migration feel like open-heart surgery?

Many companies face critical problems post-migration: automation rates dropping from 90% to 60%, blind spots in error clusters, and IT teams uncertain about system behavior.

Using Celonis, we deploy real-time performance management frameworks to identify stuck invoices, accelerate payment runs, and achieve 8-digit € working capital improvements.

Don't wait until post-migration chaos strikes.
Pre-migration support is essential.

Multi-Dimensional Process Spectrum Theory

Traditional process mining views processes as linear sequences. Object-centric process mining reveals the multi-dimensional spectrum where multiple objects interact across process variants.

This approach maps complex interdependencies between orders, invoices, deliveries, and payments, uncovering hidden process patterns that traditional event logs cannot reveal.

Beyond linear processes.
Understanding interconnected business reality.

🤖 AI Agents meet Process Intelligence Graph

Celonis AI agents leverage the Process Intelligence Graph to autonomously navigate complex business processes, identifying optimization opportunities and executing improvements in real-time.

Using Prediction Builder, Annotation Builder, and ML Workbench, these agents continuously learn from process patterns, predict bottlenecks before they occur, and recommend contextual actions across the entire process ecosystem.

Beyond automation.
Intelligent process orchestration at scale.