Process Intelligence and Execution Intelligence
Complete operational visibility for the Agentic Enterprise.
The Human Execution Layer in Enterprise AI
More than 70% of enterprise leaders believe AI will significantly transform operations, but fewer than 30% report achieving measurable productivity improvements from AI initiatives today.
Process mining platforms help organizations understand how processes move through enterprise systems. However, enterprise operations also include a layer that process mining does not cover: the human execution layer.
Employees navigate multiple applications, perform manual data entry, interpret context, and make operational decisions that are never captured in system logs. Without understanding this layer, AI agent deployments fail and ROI is unmeasurable.
AI Deployments Without Workflow Data
AI agents are built without data on real operational workflows, which can lead to targeting the wrong problems or missing the most impactful opportunities.
No Productivity Baseline
Organizations lack a clear baseline for how work is performed today, making it difficult to identify what should be automated.
Unmeasurable ROI
After deploying AI, enterprises have no way to measure whether agents improved productivity or reduced operational cost.
Combined Process and Execution Intelligence
Operational intelligence combines process intelligence with execution intelligence.
Find us on the Celonis Marketplace
Celonis Marketplace
Celonis Productivity Insights Generator
Measure how work is performed across enterprise apps. User-behavior and productivity data enriches the Context Graph and identifies automation and AI opportunities.
View on MarketplaceCelonis Marketplace
Celonis Pega Transformation Accelerator
Build the business case for Pega modernization, automate business logic and business rule discovery, and identify where automation and AI deliver returns.
View on MarketplaceProcess Intelligence
Celonis
Understanding how processes flow through enterprise systems using event logs and system data.
- ✓ Visualize complex operational processes
- ✓ Identify process variants and deviations
- ✓ Quantify inefficiencies and performance gaps
- ✓ Discover high-impact automation opportunities
- ✓ Automate improvements through action flows
Execution Intelligence
Pyze
Understanding how employees perform work inside enterprise applications, using telemetry that system logs do not capture.
- ✓ Baseline workforce productivity across applications
- ✓ Identify manual work, context switching, and inefficiencies
- ✓ Generate AI agent requirements from real behavior
- ✓ Measure productivity improvements after deployment
Combined Capabilities
Together, these intelligence layers create a unified operational data layer, the foundation for the Agentic Enterprise with measurable impact.
Build AI agents based on real execution patterns rather than process diagrams
Target the highest-impact automation opportunities using execution data
Track productivity improvements and Agentic ROI in production
Partner and Customer Perspectives
“By combining Celonis' platform and Pyze's behavior telemetry, companies can achieve unprecedented insights into how employees actually get work done.”
Christopher Johnston
SVP - Head of Global Banking, Celonis
“Celonis gives us powerful visibility into standard processes. Pyze expands that intelligence into our custom workflows and homegrown systems.”
Mike van Bussel
Process Mining Consultant, Rabobank
The Operationalizing Enterprise AI Framework
The framework consists of four phases for deploying AI at scale.
Baseline Productivity
Analyze time spent across applications, context switching, manual data entry, process rework loops, and workflow variations across teams.
Identify Opportunities
Combine process-level bottlenecks with execution-level inefficiencies, including swivel-chair activity, repetitive manual work, and error-prone inputs.
Design AI Agents
Build automation based on real operational behavior: decision patterns, data fields accessed, action sequences, exceptions and edge cases.
Measure Agentic ROI
Track productivity improvements, reduced manual effort, decreased handling time, and process friction in production.
Unified Architecture
Enterprise Applications
Pega, Salesforce, SAP, Guidewire, Veeva, SaaS, Any Web Application
Celonis Process Intelligence
Process Mining & Process Optimization
Pyze Execution Intelligence
User Behavior + Workflow Telemetry
AI Agents & Automation
Automation based on real execution data
Continuous Productivity Optimization
Measurable Agentic ROI
Proven Results
Outcomes reported by organizations that combine process intelligence with execution intelligence.
Workforce productivity improvement within weeks
Hours saved annually across financial crime operations
Operational savings identified in retail banking
Faster identification of automation opportunities
Customer Spotlight
Rabobank
One of the world's largest cooperative banks, Rabobank has adopted Pyze to improve operational visibility across complex financial crime processes. By combining process intelligence with execution intelligence, Rabobank can analyze how analysts perform work across systems and identify opportunities for automation and productivity improvement.
Results in 8 to 10 Weeks
A structured deployment model with defined phases and deliverables.
Discovery & Configuration
Define scope, configure data capture rules, deploy to target applications
Data Collection & Validation
Capture execution data, validate accuracy, build initial analytics models
Analysis & Insight Generation
Generate productivity baselines, identify optimization opportunities, build dashboards
Executive Readout & Roadmap
Present findings, quantify savings opportunities, define automation roadmap
Related
Build the Foundation for the Agentic Enterprise
See how combining process intelligence with execution intelligence supports measurable Agentic ROI.