In the past two years, businesses across industries have seen digitalization on a large scale. Enterprises have set up centers of excellence (CoE) to ensure the success of all change programs. Robotic process automation (RPA) and process discovery have taken the front seat to drive all digital transformation initiatives. While starting an automation program may seem smooth, automation leaders often face challenges as the programs mature.
Here are the top three challenges CoE leaders face and ways to solve them:
Challenge 1: Ensuring enterprise-wide adoption
Getting buy-in and user adoption for enterprise-wide change programs can be daunting. According to a global RPA survey, 32% of CoE leaders have difficulty showcasing convincing business cases for automation to get the buy-in from C-suite executives. This does not come as a surprise. Successful implementation of RPA requires digging into hidden processes and monitoring end-to-end execution of processes that are spread across multiple business functions and applications.
Businesses that choose process discovery as the first step of their automation program are able to identify the best automation opportunities. With an automated process discovery tool like SurfaceAI, CoE leaders can uncover complex use cases that can be automated to lessen the manual burden and get complete user adoption and executive buy-in.
Challenge 2: Implementing change program with confidence
According to Automation Anywhere, a leading RPA vendor, employees spend as much as 25% of their time on repetitive digital tasks. In fact, IT team members spend 30% of their time completing low-level manual tasks that can be automated. 50% of global businesses spend anywhere between 5 USD and 25 USD for processing invoices manually. When 70 to 80 percent of a rule-based process can be completely automated, business leaders need to implement automation programs to free-up their employees for more creative tasks.
However, once all the visible automation opportunities are identified, CoE leaders run into roadblocks. And when they fail to identify automation opportunities that fail to scale, businesses won’t get the best return on investment.
SurfaceAI gives you complete visibility and insights into processes, helping leaders identify the best automation opportunities beyond the low-hanging fruits. Our solution’s automated process discovery capabilities capture every keystroke, screenshot, process exception, and variation to create an empirical database. This data is then used for building process maps that guide the execution team to design their automation journey to scale, confidently.
Challenge 3: Moving away from the one-size-fits all approach
Every business is built on unique business processes. Automating a workflow that worked for one company might not work as effectively for another. Therefore, you can’t succeed by taking a one-size-fits-all approach to automation.
With an X-ray-like vision, SurfaceAI uncovers automation opportunities that are unique to your business. Furthermore, our solution experts help you discover better automation opportunities by standardizing processes for achieving greater efficiency and ROI. Tailoring an automation program best suited for your business requires a trusted vendor and powerful tools. At SurfaceInsight, we partner with our clients to deliver results that exceed expectations. Ready to see how SurfaceAI can help improve your automation investment? Get in touch with us.