The last two years have brought in a drastic change in how enterprises operate. The pandemic and the after-effects have emphasized agility (quickly adapt to economic, technological,
and industry disruptions), flexibility (scale up or down operations as needed without compromising the outputs or profits), efficiency (leveraging technology and optimizing processes to reduce costs and increase effectiveness), and continuous improvement (constantly finding improvement opportunities to create high-quality processes). To keep up with this demand organizations need to innovate at speed while delivering
high-quality experiences to customers.
Enterprises are increasingly turning towards process discovery and intelligent automation to achieve higher levels of process accuracy, costs, and efficiency for transformation programs. Wherever you are in your automation journey or whatever your priorities are, the overarching focus is to create a unified workforce where bots and humans work together to achieve synergy of creativity, empathy, higher productivity, and efficiency.
This is where Automation Singularity comes in.
Automation Singularity represents a unified human-digital workforce that blends advanced automation capabilities with a human touch for driving the enterprise of the future. As automation matures, the vision is to take it to a level where human intervention becomes obsolete. The automation landscape will step up from being rule-based, task-level RPA to bots and algorithms making decisions on tasks and process design.
AI-enabled process discovery coupled with machine learning is critical to achieving this level of automation maturity where the bots can assess the context of a business process. At this level, the bots will have the ability to create process variants to get a job done. For instance, the bot will be able to predict SLA failures, prioritize tasks, execute a workaround – all without human intervention.
Process discovery is an enabler
Automated process discovery with tools like SurfaceAI helps to capture “AS-IS” processes to enable redesigning of workflows to identify the best candidates for automation. The complete visibility into end-to-end processes helps businesses to prioritize automation efforts and provide continuous insights into potential variations and deviations that generally go unrecorded in the standard operating procedures (SOP). Process discovery enables contextual intelligence – capturing a range of business data including timestamps of tasks, screenshots of execution paths, requesters, and approvers. This level of granularity and rich transaction-level data helps to create automation programs that are maximized for efficiency and make them available for subsequent learning.
It must be noted that this data must be managed carefully, factoring in risk and compliance requirements – in terms of capture, storage, processing, and consumption. Privacy must be central, especially while capturing personally identifiable information. Likewise, the usage of this data must be constrained by regulatory guidelines to ensure that the algorithms do not make decisions, directly or by proxy, using fields that are deemed discriminatory. So choose a process discovery tool like SurfaceAI that provides and meets all your data security needs.
Prepare for Automation Singularity
In the near future, human and digital workers will collaborate seamlessly, unobtrusively, and intuitively to co-create the future of the enterprise. Enterprises that understand how their processes work and use that information to create transformation programs will gain a competitive advantage.
Want to learn more about how you can leverage process discovery to stay ahead of your competitors? Get a free personalized demo today.