We build AI-powered process mining solutions that analyze your business operations, discover hidden inefficiencies, and recommend data-driven improvements.
Every business process generates digital footprints in the form of event logs, timestamps, status changes, and transaction records. Process mining analyzes these footprints to reveal how processes actually execute, as opposed to how they are documented or assumed to work. The gap between intended and actual process execution is often substantial, and understanding this gap is the first step toward meaningful improvement.
Traditional process analysis relies on interviews, workshops, and manual observation, which are time-consuming and subject to bias. AI-powered process mining analyzes millions of process instances automatically, discovering patterns, variations, and bottlenecks that manual analysis would miss. The result is an objective, data-driven view of your operations.
Arthiq builds process mining solutions that combine classical process mining algorithms with AI capabilities for pattern recognition, anomaly detection, and predictive analysis. We deliver insights that go beyond descriptive analytics to prescriptive recommendations for process improvement.
Our process mining solutions start with automated process discovery. By analyzing event logs from your systems, we reconstruct process flows, identify the most common execution paths, and highlight deviations and exceptions. The discovered processes are visualized as interactive process maps that show flow frequencies, timing distributions, and exception points.
Process variants are identified and categorized. You can see how often each process variant occurs, how long each variant takes, and what factors determine which variant is followed. This analysis often reveals that the standard process is not the most common path, and that significant effort is spent on exception handling and workarounds.
We integrate data from multiple systems to create cross-system process views. A procurement process might span your email, ERP, approval system, and payment platform. Our mining solution connects events across these systems to visualize the complete end-to-end process, revealing handoff delays and system integration issues that are invisible when analyzing each system independently.
Process mining reveals where time and resources are consumed. Bottleneck analysis identifies the specific process steps, handoffs, and conditions that cause delays. AI-powered root cause analysis determines why bottlenecks occur, examining factors like time of day, team workload, document complexity, and upstream process quality.
Our systems quantify the business impact of each bottleneck. You can see how much delay each bottleneck contributes, how many process instances are affected, and what the cost impact is in terms of delayed revenue, wasted resources, or customer satisfaction degradation. This quantification enables data-driven prioritization of improvement initiatives.
Conformance checking compares actual process execution against your defined standard procedures. Deviations are flagged and categorized as policy violations, inefficient workarounds, or legitimate exceptions. This analysis helps enforce process discipline while identifying cases where the standard procedure needs updating.
Beyond understanding past performance, AI process mining predicts future outcomes. Predictive models estimate the completion time of in-progress cases, identify cases at risk of breaching SLAs, and forecast resource demand based on current pipeline volume. These predictions enable proactive management rather than reactive firefighting.
Our predictive models learn from historical process data to identify the factors that influence outcomes. For approval processes, the model might learn that certain document types, request amounts, or submitter departments predict longer cycle times. For customer onboarding, the model identifies which steps are most likely to cause abandonment. These insights drive targeted interventions.
We also implement simulation capabilities that let you test process changes before implementing them. What happens if you add a parallel approval path? How does changing the assignment logic affect cycle time? Simulation provides evidence-based answers to these questions without the risk and cost of live experimentation.
Process mining delivers the highest value when insights are connected to action. Arthiq helps you translate process mining findings into concrete improvement initiatives, whether that means automating manual steps, redesigning process flows, or implementing real-time monitoring for ongoing optimization.
Our team combines technical process mining expertise with practical business process experience. We understand not just how to analyze processes but how to improve them in ways that are practical and sustainable for your organization.
Contact us at founders@arthiq.co to discuss how AI process mining can reveal optimization opportunities in your business operations.
Our team will analyze your business processes using AI-powered mining techniques, revealing hidden inefficiencies and providing data-driven recommendations for optimization.