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How to Build a Healthy Automation Pipeline?

Building a healthy line of processes that maximize the returns on automation is critical for the success of an RPA program. The inability to identify the best candidates for automation after initial few successful implementations is the most common challenge businesses face to scale their automation initiative. A lack of end-to-end visibility into complex business processes further complicates the problem.

When RPA champions choose to automate the obvious processes first, they unknowingly create an expectation that all selected processes have a quick and high ROI. This is a trap. After 12 to 18 months of multiple automation implementation, several organizations start to run out of processes to automate. Also, because the selected processes are often not the best ones, the RoI does not meet the promised expectation. 

Global enterprises need automated process discovery to scale their automation beyond the “low hanging fruits”. An advanced process discovery tool like SurfaceAI monitors and gathers “AS-IS” processes, including unstructured data and variations. Business processes span applications and departments. Every time a process is executed, it leaves event logs, transactions, audit trails, databases, and other forms of digital footprints that can be analysed to identify patterns and build process definitions. 

In an enterprise, the volume of digital footprint produced is huge. Manual and traditional approaches are time-consuming and highly inefficient. A process discovery software automatically captures every step of a process and conducts exhaustive analysis to identify bottlenecks, the basic causes of problems, deviations and variations from the standard operating procedures, and the distribution of process events.    

Build a High RoI Pipeline with SurfaceAI

RPA is not a “set it once and forget” initiative. Organizations need to continuously upgrade the bots by identifying process gaps and efficiencies. Continuous process discovery is the only way for organizations to regularly monitor the health of their processes – RPA success hinges on a healthy pipeline. 

SurfaceAI helps organizations to uncover hidden process variations and optimization opportunities. Here’s the four-step approach we follow:

Automated Discovery: SurfaceAI is designed to be deployed across people, processes, and technology to monitor end-to-end processes in their AS-IS state. This ensures every exception and variation that is invisible to the naked eye is captured.   

Process Visualization: Business processes are more spaghetti-like than we like to think. Visualization helps to understand how processes are sequenced and interdependent. Process flows show business analysts, executives, partners, and subject matter experts the current state of execution, guiding process consolidation and improvement.   

Data enrichment: When you are dealing with a ton of data, you need an easier way to annotate and enrich the captured data. With SurfaceAI you can annotate the captured data using OCR, voice, and text to enrich the capture. 

Process Documentation: SurfaceAI automatically generates process documents that outline the sequence of steps that constitute the end-to-end process, the rules and exceptions handling of manual processes, and the envisioned process after partial or complete automation. Developers can refer to this document when building robots to automate the desired process.

Do you feel stuck with your RPA initiative or don’t know where to start? We are here to help. Contact us today!

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