Leverage AI powered process mining to streamline operations, uncover inefficiencies, and drive workflow transformation
30k apps
700k users
60k companies
Deploy seamlessly across your organization, Magical captures and analyzes user interactions to understand existing workflows, providing a birds eye view of your processes.
Utilizing advanced analytics, Magical finds bottlenecks within your processes, highlighting areas that hinder performance.
By leveraging data from process mining, Magical can train AI agents to automate routine tasks, enhancing operational efficiency and allowing your team to focus on strategic activities
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Deploy Magical to your workforce within minutes
AI learns your workflow as your team works
Magical reports back your baseline processes and inefficiencies
Process mining is a technique that analyzes data from your team while they work to visualize and understand real business processes. It helps identify inefficiencies, deviations, and opportunities for improvement by reconstructing workflows based on event logs.
Magically seamlessly integrates with your existing systems to capture user interactions and system events. By analyzing this data, we automatically maps out your current workflows, providing a clear visualization of how processes are executed within your organization.
By examining the user interactions and system events, our platform identifies bottlenecks and redundancies. This insight allows us to focus on specific areas that hinder performance and implement targeted improvements.
Leveraging the data and insights gained from process mining, Magical can train AI agents to automate repetitive and routine tasks. This not only enhances operational efficiency but also frees up your human workforce to focus on more strategic activities.
Many organizations begin to see actionable insights within weeks of deployment. The exact timeline can vary based on the complexity of your processes and the quality of existing data, but our platform is designed for rapid analysis and quick value realization.
