GenAI + Process Mining
Leverage AI and process intelligence tools like Celonis to discover inefficiencies, automate workflows, and drive operational transformation.
"There's no AI without PI"
Process Intelligence (PI) provides the crucial context and data backbone that GenAI needs to be effective in enterprise environments. Without understanding your processes, AI cannot optimize them.
— Celonis, Process Mining Leader
The Power of AI + Process Intelligence
Combining Generative AI with Process Mining creates a powerful synergy: discover process inefficiencies with data, get AI-generated insights and recommendations, then automate with intelligent agents—all powered by real process data.
Mine event logs to map real processes
GenAI interprets insights & recommends
AI agents execute optimizations
Latest GenAI Innovations (2024-2025)
Process Copilots
GenAI-powered conversational interfaces that let users interact with process data using natural language. Ask "Why are my invoices delayed this month?" and get instant, data-driven explanations without being a data analyst.
Process Intelligence Graph (PI Graph)
A foundational data layer that provides AI with the necessary business context and process knowledge. Pre-built objects, events catalog, and real-time process intelligence enable AI agents to make informed decisions.
AI Agent Orchestration (AgentC)
Suite of AI agent tools and integrations that leverage process intelligence for end-to-end automation. The Orchestration Engine connects and coordinates tasks across systems using real-time process data.
Strategic Use Cases
Automated Process Discovery
GenAI independently uncovers and maps complex processes by analyzing event logs, identifying patterns that humans might miss. Reduces manual mapping by 70%.
Predictive Process Analytics
Foresee bottlenecks and delays before they occur. AI continuously learns from historical data to proactively prevent issues and suggest improvements.
Conversational Analytics
Move beyond static dashboards. Ask natural language questions about your processes and receive instant, log-based explanations accessible to non-technical staff.
What-If Scenario Simulation
GenAI creates synthetic event logs to test scenarios before changes are made. Simulate demand spikes, process changes, and resource allocation impacts.
Intelligent Exception Handling
AI agents automatically handle process exceptions, route escalations, and make decisions at key points based on learned patterns and rules.
Automated Documentation
GenAI automatically generates process documentation, SOPs, and compliance reports from mined process data—always up to date with real execution.
Industry Applications
Supply Chain & Logistics
Predict demand, optimize inventory, anticipate disruptions. Analyze correlations between lead times and delivery delays to optimize supply chains.
Finance & Accounting
Automate invoice processing, duplicate detection, reconciliation. Strengthen fraud detection through transaction pattern monitoring.
Manufacturing
Monitor production status, identify quality defects, manage inventory with low-stock warnings. Predictive maintenance to minimize downtime.
Customer Service
Automate ticket classification, response drafting, and intelligent escalation routing. Reduce response times and improve resolution rates.
Business Value & ROAI
Celonis introduced Return on AI (ROAI)—a metric to strategically deploy AI investments by measuring real business impact, not just technical performance.
Faster Process Discovery
Reduction in Manual Analysis
Faster Time-to-Insight
Improvement in Cash Flow
Leading Platforms
Celonis
Market leader. Process Intelligence Graph, Process Copilots, AgentC. #1 in Gartner Magic Quadrant for 3 consecutive years.
LeaderSAP Signavio
Deep SAP integration, process modeling, simulation. AI-powered process discovery and analysis.
UiPath Process Mining
Tight RPA integration. Discover automation opportunities and directly trigger robot workflows.
ABBYY Timeline
Strong document processing integration. Combines IDP with process mining for end-to-end visibility.
Getting Started
- 1 Identify High-Value Processes: Start with processes that have high volume, significant cost, or known inefficiencies (Order-to-Cash, Procure-to-Pay).
- 2 Connect Data Sources: Extract event logs from ERP, CRM, and transactional systems.
- 3 Run Discovery: Let the platform map actual process flows and identify deviations from ideal paths.
- 4 Enable GenAI Copilot: Activate conversational analytics for natural language insights.
- 5 Automate Actions: Configure AI agents to act on recommendations and close the loop.