Working with Prisma, our team first focused on learning more about the organization’s existing needs and operating processes.
Our goal was to replace as many repetitive tasks as possible with bots in critical areas such as issuance, billing and acquisitions. We identified more than 50 back-office processes as candidates for automation and machine learning, and we created a complete roadmap with a business case illustrating the potential economic impact.
We built a center of excellence and defined an Automated Intelligence operating model that allowed us to coordinate a quick transformation.
Once the identified processes were approved, we worked along with our partner Blue Prism – a leading RPA provider– to seamlessly synchronize the implementation. The initial focus for machine learning was to read and standardize non-structured data, in conjunction with RPA, and to share it comprehensively between the different systems.
The team focused on continuous innovation, improving existing processes while exploring new trends and solutions. Rather than implementing technologies in a biased way, Prisma is embedding innovation into its DNA and pursuing the long-term benefits of technology integration.