The robotic process automation market is booming at the moment. Automation technology is being leveraged by companies to boost efficiency and productivity across several workplace operations all over the world
But that is just the start! When RPA is combined with artificial intelligence, machine learning and cognitive capabilities, the resulting synergy is something truly disruptive and transformational.
The arrival of the Digital Worker
RPA bots can be considered to be a truly complete digital worker that uses intelligent AI capabilities with a range of different complementary technologies. These further improve their capabilities and instill them with the ability to learn and adapt from humans. Think about an intelligent digital workforce that is able to self-learn and improve continually, empowering users to exponentially automate transactions while working round the clock without fatigue or error. Additionally, RPA bots also free up human employees to create, build and share their innovations and have more time to make valuable contributions to the business.
In order to scale successfully, however, RPA adoption needs to be focused not just on the goal of creating cost savings and operational efficiencies, but also on several other criteria. These include value creation, increase in productivity, enhancing the customer experience, creating innovative opportunities and deriving more value from staff.
A few other significant outcomes include achieving higher quality operations, improved operational agility and more actionable data for customer insights. Although RPA is currently being leveraged to benefit companies across all sectors, companies working in industries that have strict regulatory or compliance requirements are utilizing the technology to improve risk reduction.
Companies in other sectors, where core business operations involve a lot of manual-driven processes, are implementing the technology as well.
What to expect from RPA and AI
Listed below are 10 use cases of what can be achieved with RPA:
- Working together with AI and machine learning tools for developing multilingual, automated email processing for received customer queries and email triage.
- Anti-money laundering prevention when used with blockchain technology and various business process management tools.
- Automated case handling and resolution for insurance claims
- Automating the process for extraction of unstructured data.
- Using AI tools to judge sentiment analysis, intensity and mood for easier customer support and automatically making requests a priority for customer representatives.
- Working in tandem with process mining tools to automatically derive historical records/data research and business intelligence analytics
- Automatically and dynamically authenticating legal compliance on complex contracts.
- Can be leveraged with optical character recognition and computer vision technologies to automatically authenticate identity for loan processing or transforming secured faxes into searchable, text-embedded formats.
- Automatic, real-time translation in virtual meetings.
- Automatically connecting humans with chatbots for processing financial transactions, customer service requests or human resources.
In the future, companies that implement RPA with other AI and cognitive technologies will create a strong foundation for allowing collaborative technology innovation. They will be capable of delivering real transformational change across their business processes. In fact, connecting human and digital, while seamlessly interacting with existing as well as new applications, will form the foundation of the future workforce.