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From process discovery to process intelligence: How to leverage AI-driven discovery approach

Along with digital transformation and robotic process automation (RPA), process discovery has become a hot topic in the past few years. Last year, when the pandemic induced a massive shift to remote work and accelerated the need for digital transformation, organizations – both big and small – wanted a way to quickly identify gaps in the existing process and optimize for performance and resiliency.

Process discovery is the technique of tracking your employees’ digital footprint to uncover undesired workflows and sources of inefficiencies that can be fixed through process standardization, automation, or elimination of processes. It is an advanced technology that, instead of relying only on system-generated logs, uses computer vision to observe and capture how users perform their tasks and processes. The captured data is then modeled into granular process maps from which all process variations are identified.

Connect discrete tasks into processes:

End-to-end processes are made up of several piecemeal tasks. An AI-powered process discovery platform acts as a virtual process analyst that can connect individual tasks into complex processes which can further be standardized or automated. An AI-based process discovery tool helps to understand complex processes with higher granularity.

With SurfaceAI, you can achieve computer vision abstracting metadata from user events to automatically map all versions of a completed business process in a graphical view of all user applications, time spent on individual tasks, and all interdependencies. This gives business leaders a holistic view of overlapping patterns and outliers, enabling them to consolidate related tasks into a single process which can then be automated to achieve greater efficiency. 

Identify unique process variations

There is an enormous gap between how people think a process works and how it actually gets done. The major challenge with the manual discovery of variations is identifying tacit business knowledge that is applied seamlessly by process executors and never gets documented, creating several hidden exception paths.

Automated process discovery combines human ingenuity with artificial intelligence to provide an objective overview of business processes and identify deviations. By leveraging AI, SurfaceAI has the potential to identify patterns of variations in core business processes. Our solution ingests complex tasks and processes that are captured non-intrusively to identify common process paths to recommend process improvement, re-engineering, and redesign scenarios.

Evaluate automation potential

Enterprises spend approximately $1.6B billion on RPA initiatives without fully understanding what problem they need to solve. This wastes a lot of time, money, and resources along the way. Contrary to popular belief, automation is not the only way to improve productivity and efficiency. An end-to-end process involves several exceptions and human interventions during interactions and hand-offs. By automating these necessary manual tasks, you will only create new inefficiencies, reducing or nullifying any benefits gained from automation.  

Intelligent process discovery creates an accurate record of work, providing visibility to identify key processes that matter and assess what technologies can be implemented to improve a workflow, which processes require standardization, and whether automation is indeed the right approach here.

Experience powerful AI features in SurfaceAI

SurfaceAI looks to revolutionize process discovery with the automated, data-driven AI solution which finds, maps and documents existing businesses process end-to-end in near real-time. The detailed documentation and process maps are then analyzed to recommend process improvements and change programs

Talk to our experts today to know how SurfaceAI can fuel your process discovery initiatives.

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