Imagine that your organization could delegate routine tasks from the customer service department to a software robot such as an AI powered bot or the ones from HR, finance, IT support or any other departments. That is actually possible and we can do that for you.
Our expertise in Intelligent Process Automation will ensure an end to end handling of a service request landing in those departments, in a completely automated manner.
End to end means: communicating with the service requester -> understanding his need -> servicing his request (regardless of the level of complexity required) -> informing back the requester on the successful fulfilment of his need. In a matter of seconds.
Intelligent automation is a result of the combined power of RPA development and AI (including natural language processing, machine learning and computer vision) and thus has the potential to fundamentally change how businesses and individuals work.
As our world becomes increasingly connected, new business challenges have inspired innovative digital solutions. As the world’s premier omni-channel virtual assistant, Sophie is one of these solutions.
Sophie is based on cognitive computing and artificial intelligence, with a focus on self-adaptation and both interactive and contextual automation—enabling her to achieve self-learning and human-like interaction.
Her design allows her to assist you across different business scenarios and interact with various personas. With an omni-channel approach, she integrates with different channels to provide a tailored customer experience.
Machine Learning allows a computer system to perform a specific task without explicitly being instructed how to do so. ML is about making computers act like humans do and autonomously improve their performance over time, by involving them to historical and real-world interactions.
Machine Learning allows your systems to do more than just process data. They can analyze your data sets, spot inconsistencies, check for correctness and make a decision. This doesn’t mean that the human touch will be completely removed from the process, but his activity becoming more simplified with the computer doing the heavy lifting.
With such great potential, it’s no wonder that ML made its way in most industries in the market, including banking, retail, utilities, manufacturing, service providers and so on.
In fact, there are hundreds of documented use-cases for machine learning across most departments in organizations including marketing, sales, customer service, IT, operations, HR.
The path to Digitally Transform a business includes, amongst others, dramatically remodel the current operational process across the organization. The main steps in doing so are:
Automation is now more effective than ever. RPA has evolved and so our interest on the matter.
Transformation can start any time on business areas like:
These are just a few of the organizational activities that could fit automation. If you talk high-volumes, then we can come in. More precisely, if a process is repetitive, needs manual handling and is rule-based or involves structured data, than we can introduce it to RPA.
Understanding the strategical importance of RPA in the digital journey of a company, Stefanini has partnered with UiPath, the market leader for RPA platforms, for delivering the best possible value throughout automation.
As a result, we combined the intrinsic capabilities of the best of breed RPA platform with mature delivery methodologies and software development skills created and tuned over decades of successful delivery of application development projects for global customers.