Automation is undeniably one of the fastest-growing technologies out there today. Several organizations are already implementing AI and automation technologies like RPA, machine learning and cognitive AI to improve efficiency and simplify business workflows – which is a good thing. But the efficiency and ROI of these technologies will be much more if they are coupled together and are made to work with each other.
As Ai Becomes More Common, Applications That Employ It Must Work Effectively With Others Employing Similar Technologies, Which Will Result In Chains And Meshes Of Ai Systems That Work Simultaneously Toward Their Individual Goals In A Cooperative But Decoupled Fashion
This brings us to Intelligence Process Automation (IPA).
IPA refers to the confluence of 4 emerging technologies for improved productivity, better customer experience, smarter workflows, increased efficiency and reduced costs. : Robotic Process Automation (RPA), Machine Learning/Advanced Analytics, Natural Language Generation (NLG), Cognitive Artificial Intelligence (Cognitive AI)
The integration of back office bots (RPA bots) and front office bots (chatbots) for end-to-end automation is an excellent example of IPA.
For chatbots to hold conversations, share information, complete tasks and capture requests, they to be integrated with different enterprise systems. Chatbots can access the required information independently only if these systems have modern APIs . And in the absence of an API, the chatbot fails to integrate and retrieve information from these systems. However, with the integration of RPA, chatbots can effectively navigate through legacy enterprise systems that do not have modern APIs.
An RPA powered chatbot has the capability to integrate disparate and multiple back-end enterprise systems. RPA enables chatbots to retrieve information from these systems and handle more complex and real-time customer/employee requests and queries at a large scale. In the same way, Chatbots upon a user’s request, can trigger RPA to perform specific mundane tasks without routing them to a human agent.
The combination of chatbots and RPA provides several business benefits. It helps organizations to enhance customer experience at lower costs by leveraging the automation capabilities of RPA and self-service features of chatbots.
While RPA bots have been successful in handling structured data stored in various databases and application silos, they are now challenged to handle business scenarios involving a multitude of unstructured data such as images, text, and speech. RPA bots can be infused with AI technologies like machine learning, natural language processing and deep learning to handle these specialized cognitive tasks.
IPA can now perform tasks that were once done by humans and in addition they can perform these tasks with increased accuracy and efficiency. Along with traditional rule-based automation that RPA is popular for, IPA incorporated with deep learning and cognitive technology, is now capable of decision making as well.
The convergence of various domains of technologies is needed to produce automation capabilities that dramatically elevate business value and competitive advantage. IPA is one such synergistic technology.
According to McKinsey, several companies have managed to automate 50-70 percent of tasks with the help of IPA, in turn reducing the through-put time by 50 – 60 perfect and yielding an ROI in triple digit percentages.
Following are some of the important benefits of IPA:
If you are planning to potentially invest in IPA implementation, here are a few points to keep in mind:
Organizations across the globe are looking actively for intelligent technologies like RPA and machine learning. But why deploy something good if there is something that’s even better and more comprehensive? Through end-to-end process automation, IPA helps organizations increase competitive advantages, drastically reduce costs, improve productivity, reduce risks and more!
In order to implement IPA technologies efficiently with accelerated time to value and low cost to complete, you need an agile partner with a strong IP portfolio. Acuvate’s IP portfolio consisting of BotCore, Optimum, and Azure Cost Optimization (ACO) leveraging AI technologies for intelligent automation are helping CIOs automate and streamline IT operations, improve service desk efficiency, optimize cloud spending and reduce costs.
If you’d like to learn more about this topic, please feel free to get in touch with one of our IPA consultants for a personalized consultation. You might also be interested in exploring our process automation solutions and services for further !
If you’d like to learn more about this topic, please feel free to get in touch with one of our IPA consultants for a personalized consultation. You might also be interested in exploring our process automation solutions and services for further insights!