EdgeVerve Systems launches AssistEdge Discover to Unlock True Value of Automation

EdgeVerve Systems, a subsidiary of Infosys, announced the launch of AssistEdge Discover, a unique tool aimed at increasing the success rate of automation implementations at the enterprise level through process discovery. AssistEdge Discover automates processes sans human bias that often times lead to automation implementation failure.

Forrester reports that robotic process automation (RPA) will grow to a $2.9 billion market in 2021, bringing it to the forefront of enterprise digital transformation. However, over half of enterprise automation implementations still fail when business processes are not properly understood and manual knowledge is relied upon for process execution.

At an enterprise level, this becomes increasingly challenging as the amount of data and number of steps in each process increase. By eliminating human bias and reducing manual process discovery, AssistEdge Discover can help an enterprise realize the full value of automation and enable collaboration, effective change management and continuous process improvement.

AssistEdge Discover leverages user key strokes and sophisticated neural network algorithms to create an effective automation blueprint. It provides a clear recommendation based on the understanding of how business processes are executed through four pillars:

Automatic Data Capture: Input such as mouse and key strokes from identified users can be monitored and recorded without interfering with the employee’s work.

Remote Management of Data Capture: Administrators decide and control what data is being captured from which machines and users, and at which frequency, to ensure that no business and user sensitive data is captured.

Visual Data Analysis and Mapping: Data enrichment and analysis is carried out using advanced neural network and AI algorithms. This creates a visual, data-rich process map which not only shows common paths, but also different variations of the same path.

Recommendations: Recommendations identify the automation opportunities and collate them into a dashboard, allowing the enterprise to compare different processes and make an informed decision. Automation recommendations are based on real data, thus avoiding manual bias.