Celonis

Analyzes transaction logs and event data from enterprise systems to automatically map actual business processes without relying on documented procedures. Creates visual process models that reflect how work truly flows through the organization.

Analyzes process event data to automatically detect where work gets stuck, delayed, or inefficiently routed. Quantifies the impact of each bottleneck on overall process performance and cycle time.

Identifies repetitive, rule-based tasks and processes that are candidates for robotic process automation. Provides detailed specifications and handoff documentation for RPA teams to implement bots.

Analyzes an organization's entire process portfolio to identify which processes have the highest impact on business outcomes and should be prioritized for optimization. Enables strategic process improvement planning.

Monitors ongoing process execution in real-time and alerts stakeholders when performance deviates from expected patterns or thresholds. Enables proactive process management rather than reactive analysis.

The Action Engine uses machine learning to analyze discovered processes and automatically generate prioritized recommendations for improvements with estimated impact on cost, time, and quality. Recommendations are ranked by potential ROI.

Captures and analyzes user interactions and task-level activities across applications to understand how employees spend their time. Identifies repetitive, manual tasks that could be automated or optimized.

Seamlessly connects to major enterprise systems (SAP, Oracle, Salesforce) to automatically extract event logs and transaction data. Provides pre-built connectors and data pipelines for common enterprise platforms.

Provides pre-built, industry-specific process models and best practice templates for common workflows in manufacturing, finance, supply chain, and other sectors. Accelerates implementation by providing reference processes.

Automatically identifies instances where process execution deviates from the intended or compliant path. Flags exceptions, rework loops, and non-compliant process variations for investigation.

Calculates and tracks key performance indicators (cycle time, throughput, cost, quality) across processes and enables comparison against benchmarks. Provides dashboards for ongoing performance monitoring.

Uses discovered process models to simulate potential changes and predict their impact on performance metrics. Allows testing of optimization recommendations before implementation.

Automatically generates process documentation, flowcharts, and process books from discovered process models. Creates visual and textual documentation that reflects actual process execution.