Conformance & Root-Cause Analysis
Understand Why Processes Deviate
Go beyond finding deviations. Understand what drives them.
Every process has an expected way of working—but real-world execution rarely follows a single path. Delays, skipped activities, unexpected sequences, rework, exceptions, and policy violations can gradually create operational risk and performance gaps.
Flowra Lens brings actual process execution into context with expected process behavior, enabling organizations to identify where processes diverge, understand how frequently those deviations occur, and investigate the factors responsible for them. With AI and GenAI, Flowra Lens goes further by helping teams interpret complex process behavior and uncover the likely causes behind recurring issues.
Understand Why Processes Deviate
Go beyond identifying process deviations to uncover what causes them.
Flowra Lens compares real-world process execution with expected process behavior, policies, SLAs, and business rules. Identify where processes diverge, understand the patterns behind those deviations, and use AI-powered analysis to uncover potential root causes and improvement opportunities.
Conformance Analysis
See How Execution Compares to Expectations
Compare actual process execution against your defined process models, policies, SLAs, and business rules. Quickly identify where processes follow the expected path—and where they don't.
Analyze skipped activities, unexpected sequences, repeated steps, alternative paths, and compliance gaps.
Understand what's driving the problem—not just where it occurs.
AI-Powered Investigation
Let AI Uncover the Patterns Behind Process Problems
Flowra Lens uses AI to analyze complex process behavior and surface relationships that may be difficult to identify manually. Discover patterns associated with delays, deviations, exceptions, and inefficient process paths.
Root-Cause Analysis
Move From What Happened to Why It Happened
Drill into process data to uncover the factors driving delays, exceptions, rework, and performance gaps. Compare process variants, activities, teams, systems, and business conditions to identify patterns associated with poor outcomes.
Focus your teams on the insights that matter most.
GenAI Process Insights
Ask Your Processes. Understand the Answers.
Explore process behavior using natural language. Ask questions about bottlenecks, deviations, variants, performance, and root causes—and let GenAI turn complex process data into clear, actionable insights.
From process data to understandable answers, faster.
Turn Root Causes Into Business Impact
Flowra Lens helps organizations move from detection to diagnosis to improvement.
Reduce Risk
Identify process behaviors that create operational and compliance exposure.
Improve Performance
Address the underlying causes of delays, bottlenecks, and inefficient execution.
Reduce Rework
Identify recurring patterns that drive unnecessary processing and exceptions.
Strengthen Compliance
Continuously monitor execution against policies, SLAs, and expected process behavior.
Accelerate Improvement
Prioritize the process issues with the greatest potential business impact.
How Process Monitoring Fits into the Bigger Picture
Process Monitoring works alongside four other capabilities to form a complete Process Intelligence framework — connecting real-time visibility with deeper analysis, foresight, and improvement.
Process Discovery
Automatically reconstructs as-is process flows, primary paths, and variants directly from execution data, giving teams a clear picture of how work truly moves across people, systems, and applications.
Process Analysis
Compares actual process execution against expected behavior, policies, and SLAs to surface deviations, conformance gaps, and the root causes driving delays, rework, and exceptions.
Process Simulation
Tests what-if scenarios—automation, resourcing, routing, and sequence changes—against real process history before they go live, confirming expected impact on cost, cycle time, throughput, and compliance before committing to change.
Process Prediction
Uses AI to evaluate current execution paths and historical patterns, anticipating SLA breaches, exceptions, delays, and workload shifts early enough for teams to intervene before outcomes are affected.
Connect Regoxa to the Way Your Business Works
Connect Regoxa to Any Enterprise System
Regoxa is built to fit into your existing technology ecosystem—not force you to replace it. With support for SOAP, HTTP, event-driven architectures, microservices, and service-based integrations, Regoxa can seamlessly connect document intelligence, workflows, process intelligence, and AI capabilities with the systems your business already relies on.
From enterprise applications and legacy platforms to modern cloud-native architectures, Regoxa provides multiple integration options to embed intelligence wherever it is needed.
Integrate Your Way
API & HTTP Integration
Connect Regoxa with web applications, enterprise platforms, and external services using flexible HTTP-based APIs.
SOAP & Enterprise Services
Integrate with established enterprise and legacy systems through SOAP-based services without requiring major changes to existing infrastructure.
Event-Driven Integration
Respond to business events in real time. Trigger document processing, workflows, validations, or downstream actions as events occur across your enterprise.
Microservices Architecture
Deploy Regoxa capabilities as part of modern microservice ecosystems, enabling modular, scalable, and independently managed integrations.
Linux Service Deployment
Run Regoxa integration components as a service on virtually any Linux environment, making it suitable for on-premises, private-cloud, edge, and hybrid deployments.
Plug-and-Play Web Components
Accelerate application integration with ready-to-use jQuery-based plugins that allow Regoxa capabilities to be embedded directly into existing web applications with minimal development effort.
Conformance analysis is the practice of comparing how a process actually runs against how it's expected to run — including your defined process models, policies, SLAs, and business rules. Flowra Lens performs this comparison automatically, showing where execution follows the expected path and where it diverges, so teams can quickly separate normal variation from real operational risk.
Flowra Lens continuously compares real-world execution data against expected process behavior to surface skipped activities, unexpected sequences, repeated steps, rework loops, excessive handoffs, and alternative paths. Rather than flagging every variation, it prioritizes the deviations with the greatest impact on cost, time, risk, and compliance.
Conformance analysis identifies where a process deviates from its expected model. Root-cause analysis goes a step further to explain why — drilling into process variants, activities, teams, systems, and business conditions to uncover the patterns behind delays, exceptions, and rework. Flowra Lens is built to move teams from detection through diagnosis to improvement.
Process performance monitoring helps organizations reduce risk, cut down on rework, strengthen compliance, and identify where inefficiencies are costing the business the most. By connecting monitoring to root-cause analysis, Flowra Lens allows teams to prioritize the process issues most likely to affect cost, time, and outcomes.
AI-powered process analysis can surface relationships in complex execution data that are difficult to find through manual review — such as which conditions consistently precede delays, exceptions, or rework. Flowra Lens uses AI to analyze process behavior at scale and highlight the patterns most associated with poor outcomes, helping teams focus on the issues with the greatest business impact.
Process rework often results from recurring deviations, such as steps being repeated, exceptions being mishandled, or approvals looping back unnecessarily. Flowra Lens identifies these recurring patterns and connects them to their underlying causes, helping teams reduce unnecessary processing rather than just tracking that it happened.
Yes. Flowra Lens's GenAI process insights let users ask questions about their processes — such as where bottlenecks occur or why a variant is underperforming — in plain language, and receive clear, actionable answers drawn from the underlying process data, without needing to build custom reports or queries.
Root-cause analysis identifies which underlying factors — specific teams, systems, variants, or conditions — are most associated with delays, exceptions, and rework. This lets organizations focus improvement efforts on the causes with the greatest business impact rather than addressing every deviation equally. Flowra Lens is designed to guide teams from diagnosis directly to prioritized action.
Basic process monitoring tracks whether a process is running as expected. Process intelligence goes further, combining conformance checking, deviation detection, and AI-driven root-cause analysis to explain why processes behave the way they do — turning raw execution data into insights teams can act on. Flowra Lens is built around this deeper diagnostic layer.
Ongoing process monitoring gives teams visibility into where processes are running as expected and where they're not, making it possible to address inefficiencies before they affect cost or customer outcomes. Flowra Lens pairs this visibility with root-cause analysis so improvement efforts target the actual drivers of inefficiency, not just its symptoms.