Process Optimization & Simulation
Process Optimization & Simulation
Turn process intelligence into confident decisions.
What is Process Simulation?
Process simulation makes it possible to realize the outcomes that optimization will bring before disrupting the actual operation. In other words, before implementing changes for process optimization, it allows users to test those changes to ensure they yield the intended results. Regoxa Timeline's process simulation provides a mechanism for utilizing process histories to automatically configure a simulation. This model can then be adjusted to reflect any proposed changes to the process or resource allocation, with the goal of understanding the impact of those changes before they are implemented.
Access Best-Practice Process Analysis Tools
High-quality data extraction is a genuinely complex job that depends on every step working together. Regoxa has processed documents at scale to get that process right, and we keep refining it so organizations stay ahead. That work shows up as automation tools that help your business run leaner and sharper.
Why Use Process Simulation?
Cost Effectiveness
Introducing a new or modified business process without first confirming its performance under a variety of simulated conditions can be extremely expensive and risky. Regoxa Timeline's simulation helps your business avoid wasting human resources by evading the rework necessary to correct poor performance not anticipated by process designers.
Risk Reduction
A flawed process can mean decreased productivity, lost customers, or process compliance violations. In high-risk situations — such as healthcare or public safety — these failures can be even more dire. Simulations allow organizations to identify and rectify potential failures to mitigate these risks before they ever reach production.
Speed of Innovation
Simulation can fast-track changes by instantly showcasing potential outcomes, cutting down lengthy trial-and-error cycles and allowing implementation teams to focus all their energy on process implementation, free from the need to rework less-optimal process designs.
Connect Regoxa Document AI and OCR to your existing applications
Regoxa connects cleanly with a wide range of business automation platforms, putting IDP and advanced optical character recognition (OCR) right where you work. Link it to your automation systems, robotic process automation (RPA), business process management (BPM), enterprise content management (ECM), and to everything from chatbots to mobile devices to email. Pre-built connectors make integration with key applications quick and painless, and for anything more bespoke, developers can use our REST API to build a connector to almost any system or device.
You can also import documents from multiple devices and locations. Once the data is extracted, both the processed information and the document's status come straight back to your application or shared folder, or you can export the data to another system via API to keep everything in sync.
Unlock Your Transformative Potential
Regoxa Timeline enables you to simulate potential changes to a process and see the impact, so you can make process optimization decisions with confidence.
Process discovery provides the blueprint for process optimization. Simulation provides proof.
Test-driving process changes in a virtual environment reveal the impact that the changes will have on the entire business operation.
Simulation helps businesses innovate faster, reduce risks, and ensure cost effectiveness at every step.
Execute on Process Improvement with Confidence
Healthcare
Hospitals and healthcare facilities looking to optimize the patient journey through an emergency department can use Regoxa Timeline's process simulation to assess various scenarios for improvement before making any changes — like altering a triage system or allocating more staff during peak times. This ensures that the proposed solutions don't inadvertently increase patient waiting times or overburden staff.
Banking
A bank wants to speed up its loan approval process. After mapping the current process through discovery, they simulate various changes — like automating credit checks, introducing digital document verification, or adjusting planned staffing levels. The simulation helps ensure that while the process gets faster, it doesn't introduce any unintended risks by inadvertently impacting the quality of required risk assessments.
Manufacturing
A car manufacturer wants to enhance its assembly line efficiency. Using a process digital twin, they simulate changes like reordering assembly stations or introducing robotic arms. Through simulations, they can predict how these changes would affect production times, product quality, and worker safety.
E-commerce
An online retailer wants to optimize its product return process to enhance customer satisfaction. Simulating changes like introducing instant refunds, simplifying return labels, or providing pick-up services allows them to gauge impacts on customer loyalty, operational costs, and inventory management.
How Process Simulation Fits into the Bigger Picture
Process Simulation & Optimization works alongside four other capabilities to form a complete Process Intelligence framework — turning visibility, diagnosis, and foresight into changes that are tested and validated before they go live.
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 Monitoring
Tracks process execution in real time, measuring current performance and the impact of changes so teams can see how processes behave as conditions evolve.
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.
Flowra Lens supports process optimization through a continuous loop: Discover the current process reality, Analyze it for performance gaps, Simulate potential changes, Optimize by selecting the best-performing scenario, and Monitor the real-world impact after go-live — feeding directly into the next round of improvement.
Yes. Flowra Lens is process optimization software that combines process intelligence with simulation and AI-driven recommendations, allowing teams to model, compare, and select process changes — such as alternative execution paths or resource allocations — based on measured outcomes rather than guesswork.
Process scenario analysis is the modeling of alternative ways a process could run, using historical execution data as the baseline. Flowra Lens lets teams build and compare multiple scenarios side by side so they can see how each one would affect the process before deciding which to implement.
Flowra Lens evaluates a proposed change not just on its intended outcome, but on its broader effects across the process — measuring potential impact on cost, cycle time, throughput, quality, compliance, resource utilization, and customer experience, so unintended trade-offs surface before implementation rather than after.
Process path optimization is the analysis of alternative ways a process could execute — identifying opportunities to simplify workflows, cut unnecessary handoffs, and eliminate rework. Flowra Lens compares the current path against alternative and optimized paths to identify the one with the best balance of speed, cost, quality, and compliance — not just the path that looks best on paper.
Flowra Lens models how changes in resource allocation would affect process performance, covering scenarios like workforce staffing levels, workload distribution, system capacity, queue management, peak-period demand, and the balance between human and automated activities — with the goal of fitting resources to the process, not the other way around.
A process digital twin is the virtual, data-grounded representation of how your process actually runs today. Process simulation is what you do with that twin — running what-if scenarios against it to test how changes would affect the process before they're made in the live operation.
Flowra Lens draws on process intelligence — real execution history, patterns, performance data, resource information, and business constraints — as the foundation for every simulation, so modeled scenarios are grounded in how the process actually behaves rather than assumptions about how it should behave.
AI-powered process optimization in Flowra Lens uses AI to surface high-impact improvement opportunities, inefficient paths, bottleneck-driving activities, resource constraints, and recurring rework patterns within complex process behavior. Generative AI then translates that analysis into clear recommendations and explains why a given opportunity matters.
Flowra Lens contributes to business process improvement by letting teams test changes — automation, sequence changes, approval removals, routing rules — against real execution data before implementation, so improvements are validated by projected outcomes rather than trial-and-error in live operations.