NewgenONE Platform
AI-first Process Insights
Gain deep AI-powered capabilities for advanced analytics and predictive simulations to ensure continuous process improvement, optimize workflows, and drive enterprise agility at scale.
Why Is AI-first Process Insights Critical for Large Enterprises?
Look into the future with AI-powered process insights. Analyze trends, predict the impact of strategic changes, and uncover business risks using advanced analytics and industry-standard simulations. Evaluate historical data to identify bottlenecks and optimize workflows for continuous improvement and enterprise agility.
Process Insights and Enterprise Analytics Platform with AI-driven Monitoring and Intelligence
Future-ready AI-powered What-if Scenario Analysis for Large Enterprises
Configurable Simulations for Agile and Data-driven Business Decisions
Visualize Enterprise Data Through Heatmaps and Interactive Drilldowns
AI-first Forecasting and Analytics for Intelligent Process Automation
Advanced KPI Monitoring and SLA Adherence at Scale
AI-driven Comprehensive Analysis to Maximize ROI
Future-ready AI-powered What-if Scenario Analysis for Large Enterprises
- AI-powered historical data analyzer to identify bottlenecks, delayed activities, and demand spikes for proactive process optimization.
- Industry-standard simulation engine to analyze potential outcomes, predict risks, and evaluate strategic changes with real-world accuracy.
Configurable Simulations for Agile and Data-driven Business Decisions
- Web-based interface for creating real-world scenarios to simulate business processes and predict outcomes with accuracy.
- AI-powered preemptive process reconfiguration to deliver better business value and ensure agility in dynamic environments.
Visualize Enterprise Data Through Heatmaps and Interactive Drilldowns
- Color-coded heatmaps and summarized KPI reports for quick visualization of performance metrics and trends.
- Advanced drilldowns from process-level to activity-level for detailed analysis and actionable insights.
AI-first Forecasting and Analytics for Intelligent Process Automation
- AI-powered workload predictions and completion time estimates based on historical data for accurate planning and resource allocation.
- Intelligent “best course of action” recommendations to meet desired process KPIs and improve operational efficiency.
- Optimized resource utilization through AI-driven allocation, ensuring cost-effectiveness and reduced turnaround times for large enterprises.
Advanced KPI Monitoring and SLA Adherence at Scale
- Monitor process and activity-level KPIs including SLA compliance percentage, average turnaround time (TAT), and resource utilization for complete visibility.
- Ensure adherence to SLAs at both process and activity levels with real-time visualization and optimization powered by AI-driven analytics.
AI-driven Comprehensive Analysis to Maximize ROI
- AI-powered Time trend analysis for complete monitoring of processes, enabling predictive insights and proactive optimization.
- Root cause analysis through advanced drilldowns and detailed reports, helping identify bottlenecks and improve operational efficiency.
Future-ready AI-powered What-if Scenario Analysis for Large Enterprises
- AI-powered historical data analyzer to identify bottlenecks, delayed activities, and demand spikes for proactive process optimization.
- Industry-standard simulation engine to analyze potential outcomes, predict risks, and evaluate strategic changes with real-world accuracy.
Configurable Simulations for Agile and Data-driven Business Decisions
- Web-based interface for creating real-world scenarios to simulate business processes and predict outcomes with accuracy.
- AI-powered preemptive process reconfiguration to deliver better business value and ensure agility in dynamic environments.
Visualize Enterprise Data Through Heatmaps and Interactive Drilldowns
- Color-coded heatmaps and summarized KPI reports for quick visualization of performance metrics and trends.
- Advanced drilldowns from process-level to activity-level for detailed analysis and actionable insights.
AI-first Forecasting and Analytics for Intelligent Process Automation
- AI-powered workload predictions and completion time estimates based on historical data for accurate planning and resource allocation.
- Intelligent “best course of action” recommendations to meet desired process KPIs and improve operational efficiency.
- Optimized resource utilization through AI-driven allocation, ensuring cost-effectiveness and reduced turnaround times for large enterprises.
Advanced KPI Monitoring and SLA Adherence at Scale
- Monitor process and activity-level KPIs including SLA compliance percentage, average turnaround time (TAT), and resource utilization for complete visibility.
- Ensure adherence to SLAs at both process and activity levels with real-time visualization and optimization powered by AI-driven analytics.
AI-driven Comprehensive Analysis to Maximize ROI
- AI-powered Time trend analysis for complete monitoring of processes, enabling predictive insights and proactive optimization.
- Root cause analysis through advanced drilldowns and detailed reports, helping identify bottlenecks and improve operational efficiency.
Intelligent Process Automation Capabilities of NewgenONE Platform
Success Stories
Lead with an Industry-recognized Platform
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Analyst Reports
All you need to know about Process Insights
The NewgenONE Platform provides its own process mining tool and process insights for detailed analysis. The tools enable bottleneck identification, simulation, what-if-analysis, and optimization. For customers requiring task mining and process discovery capabilities, the platform integrates with Soroco and Celonis.
Process insights can help identify bottlenecks and inefficiencies in a workflow by providing a clear view of the end-to-end process, including how long each step takes, how many resources are used, and where delays occur. This information can be used to pinpoint specific areas that require improvement, such as unnecessary steps or handoffs, slow manual processes, or overloaded resources. By analysing process data, organizations can identify patterns and trends that may not be apparent from individual process steps, allowing for targeted improvements and more efficient and effective workflows.
Process insights can be used to improve customer experience by identifying areas of the process that are causing delays or errors and correcting them to reduce customer wait times and errors. Also, by analyzing the customer journey, organizations can gain insights into how customers interact with their processes and identify areas that can be improved to enhance customer satisfaction and loyalty.
