Workflow Intelligence Mapping

Gain complete visibility into how work truly happens across your organization. Our AI systems identify gaps, delays, and opportunities for smarter automation.

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Lack of Workflow Visibility and Hidden Inefficiencies

Most organizations operate with limited visibility into how their workflows actually function. Processes often look efficient on paper but hide bottlenecks, redundancies, and unnecessary delays in reality. Teams spend hours troubleshooting issues they can’t fully see or measure, leading to wasted time and higher operational costs.

Without clear insight into the true flow of work, businesses struggle to identify what to automate, optimize, or eliminate, preventing them from achieving real efficiency and scalability.

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Workflow Discovery & Process Mining - Trixly AI

Trixly AI Solutions

Workflow Discovery & Process Mining

SERVICE 01

Automated Process Discovery

SERVICE 02

Conformance Checking

SERVICE 03

Performance Analytics

SERVICE 04

Process Enhancement

SERVICE 05

Continuous Monitoring

Service 01

Automated Process Discovery

🔍

Transform event log data from your enterprise systems into accurate, objective process models that reveal how work actually flows through your organization, eliminating guesswork and manual documentation efforts.

Event Log Extraction

Extract and consolidate activity data from ERP, CRM, SCM, and workflow systems with case IDs, timestamps, and activity sequences for comprehensive process reconstruction.

Advanced Mining Algorithms

Deploy Alpha, Heuristic, Inductive, and Split miners that automatically construct BPMN models, Petri nets, and directly-follows graphs revealing parallel activities and decision points.

Multi-Perspective Visualization

Generate control flow diagrams, organizational networks, and resource allocation maps that provide stakeholders with multiple lenses into operational reality at various abstraction levels.

AI-Powered Task Mining

Capture granular desktop activities and user interactions using computer vision to map manual workflows that traditional system logs miss, completing the end-to-end process picture.

Objective Process Maps

Service 02

Conformance Checking

✓

Compare actual process execution against intended designs, policies, and compliance requirements to identify deviations, violations, and opportunities for standardization across your operations.

Deviation Detection

Identify where real-world workflows diverge from prescribed procedures, highlighting unauthorized shortcuts, skipped approval steps, and non-compliant process variants in real-time.

Token-Based Replay Analysis

Simulate process execution by replaying event logs against reference models, quantifying fitness scores and pinpointing exact locations where processes fail to conform to standards.

Compliance Rule Validation

Verify adherence to regulatory requirements like SOX, GDPR, four-eyes principles, and purchase approval thresholds with automated checks that flag violations for audit trails.

Root Cause Analysis

Investigate why conformance issues occur by analyzing contextual factors including resource assignments, timing patterns, and case attributes that correlate with deviations.

Compliance Assurance

Service 03

Performance Analytics

📊

Measure and analyze critical process KPIs including cycle times, throughput, resource utilization, and cost drivers to identify bottlenecks and quantify improvement opportunities with precision.

Bottleneck Identification

Pinpoint exact process steps causing delays through waiting time analysis, queue length monitoring, and service time distribution to target optimization efforts where they matter most.

Cycle Time Decomposition

Break down end-to-end process duration into constituent activities, revealing where time is spent versus wasted and quantifying potential acceleration gains from improvements.

Resource Efficiency Metrics

Analyze workload distribution, utilization rates, and handoff patterns across teams and individuals to balance capacity, reduce idle time, and optimize workforce allocation.

Variant Analysis

Compare performance across different process execution paths, identifying which variants deliver superior outcomes and which create delays, rework, or quality issues.

Data-Driven KPIs

Service 04

Process Enhancement

⚡

Enrich discovered process models with performance data, cost information, and decision logic to create comprehensive digital twins that enable simulation, prediction, and intelligent optimization recommendations.

Decision Mining

Extract decision rules from process data to understand what factors drive routing choices at branching points, making implicit business logic explicit and auditable.

Predictive Process Analytics

Build machine learning models on historical execution data to forecast case completion times, predict bottlenecks before they occur, and identify at-risk processes proactively.

What-If Scenario Simulation

Test process redesign proposals through digital twin simulation, quantifying expected impacts on KPIs before implementing changes to validate improvement hypotheses.

Automation Opportunity Discovery

Identify repetitive, rule-based activities suitable for RPA or workflow automation by analyzing task characteristics, frequencies, and standardization levels across process variants.

Intelligent Optimization

Service 05

Continuous Monitoring

📡

Deploy real-time process intelligence dashboards with automated alerts, streaming analytics, and continuous improvement loops that maintain operational excellence as your processes evolve and scale.

Real-Time Process Streaming

Implement streaming process mining that analyzes events as they occur, detecting anomalies, SLA violations, and emerging issues in near real-time for immediate intervention.

Concept Drift Detection

Monitor for significant changes in process behavior over time using statistical methods that identify when workflows have fundamentally shifted and models require updating.

Executive Dashboards

Deliver role-specific views with customizable KPI tracking, trend analysis, and exception reporting that keep stakeholders informed about process health and improvement progress.

Closed-Loop Improvement

Establish feedback mechanisms that capture improvement outcomes, measure intervention effectiveness, and continuously refine process designs based on production results.

Operational Excellence