Process automation has revolutionized the way organizations operate, allowing them to do more with fewer resources and become more agile and adaptive to changing customer requirements and the pressure of talent wars. Intelligent automation has made organizations “scary smart,” but the true value has been unlocked in the way that they offer simplicity. 95% of enterprises have included it in their digital transformation strategy, however, many have yet to unlock their full potential. This is because their automation programs lack mature practices due to a lack of automation proficient talent, an undefined automation mandate, and a lack of accountability.
Process intelligence is a data-driven approach that can identify which processes can be automated and, when done correctly, can improve experiences and decision-making and enable more fulfilling work for employees. Companies can leverage manual methods like workshops, hackathons, and botathons to discover processes, but these methods have limitations. This is where process intelligence tools come in, as these systems generate a ready pipeline of use-cases for automation implementation in key business areas to help improve customer experience and employee productivity.
They also help assess process performance in real-time, by analyzing data on process performance before and after implementation, which can then be measured via key metrics such as cost, efficiency, and customer satisfaction. Currently, 20% of Fortune 250 companies that have prioritized process intelligence are seeing results. However, process intelligence tools are not perfect solutions and need to be augmented with a three-phase hybrid process discovery approach. This includes leveraging either process mining or task mining, evaluating partner platforms based on technical capabilities, and identifying and prioritizing processes for automation.
RPA, API, and low-code app development are the technologies that should be leveraged for automation. Once the processes are identified, IT teams, process owners, and business heads need to come together to build a roadmap. Over time, automation adoption within organizations will become more democratized and teams across functions will be able to leverage process intelligence to enhance internal processes independently.
One example of a company that has used process intelligence to great success is Join top executives at their San Francisco event on July 11-12. During this two-day event, executives will learn from other leaders how to integrate and optimize AI investments for success. They will also get a chance to understand the importance of automation and discover ways to extract the most value from their implementation efforts. This event is beneficial for organizations that are yet to unlock the full potential of automation through intelligent processes, but also need assistance to build the right strategies and successfully scale their automation initiatives.
