RPA + Conversational AI: A Cognitive Leap for the Enterprise
WhizAI & UiPath Combine Forces to Create the Best Cognitive On-Demand RPA Platform in Pharma
Robotic Process Automation (RPA) and Conversational AI are powerful standalone technologies. In simple terms, RPAs are automation bots and most Conversational AI are virtual assistants. Enterprise-grade conversational AI platforms find it hard to connect with myriad applications in a complex organization to deliver comprehensive business information while RPA’s find it challenging to grow beyond repetitive processes in the back office.
Recently, WhizAI partnered with UiPath, a leading enterprise RPA company, to ensure our clients can leverage automation with access to the best RPA software and a smart conversational AI to compete in an increasingly “intelligent economy”. This collaboration enables us to bring RPA mainstream in an organization by automating singular and ad-hoc processes for end business users like sales, marketing, and executive leadership.
Our joint solution can connect with legacy applications, data sources without APIs and online sources inside and outside of an organization. UiPath and WhizAI establish a cognitive on-demand RPA in the enterprise: the WhizAI RPA Communicator.
Through this integration process, we learned that while RPA automates repetitive, rules-based business processes and eliminates inefficiencies, WhizAI provides a gateway for end business users to use it for their daily activities. RPA bots do not come with a conversational interface, which is where we think WhizAI’s RPA Communicator is adding value, as we believe; the world will soon be conversations first! The convergence of RPA and smart communicators can help business users streamline their daily workflows and information access, here's how.
Conversational AI is a greenfield technology that is not just focused on simple Q&A type interactions. Its learning interface can understand high-level user intent and pass that to a task-oriented bot to gather any insights needed and execute the necessary tasks via the bot. Business users can simply text or speak to the WhizAI RPA Communicator and ask to look up sales, inventory or colleague information, or update an opportunity in the CRM application. It can even be linked securely to applications without an API and sources outside the organization.
An RPA plus Conversational AI can exponentially increase your ROI on current RPA assets by improving adoption with new use cases and more end users. The human-like access layer for all your underlying software improves the range of actions that are typically correlated with back end processes.
We believe that these two technologies gain more power when implemented together. In the future digital world, both are expected to bring great value to every sector, industry and business type.
To learn more about WhizAI RPA Communicator, get in touch with our experts.
Subscribe to our blog
People also viewed
Customer Centricity and Digital Experiences which are Redefining Pharma
It is no secret that the pharmaceutical industry has historically flourished from blockbuster products with substantial brand equity, favorable pricing
Awash in Data, Yet Starving for Insights? Transform Life Sciences Commercial Teams with Augmented Analytics
Personalized communication is something the HCPs have come to expect. To do that, pharma sales reps need to know their customers well. In order to know the customer well, they need data. Enterprise pharma companies, however, have many data resources and lots of data at their disposal. In fact, there is a data explosion. So what do you do?
Readiness of Augmented Analytics for Life Sciences Commercial Teams
Demand for smart, agile, and near-instant commercial analytics in Pharma is rising. More contextual, continuous, and connected data and analytics are required to respond to more complex and uncertain business decisions.
Augmented Analytics is “On the Rise” on Gartner’s 2022 Hype Cycle for Life Science Commercial Operations
The Gartner® 2022 Hype Cycle™ for Life Science Commercial Operations introduces a new category, Augmented Analytics, this year. WhizAI is listed as a sample vendor in the Augmented Analytics category in this Hype Cycle. This summary report covers the following highlights.
Where Gartner Positions Natural Language Query on the Hype Cycle and What It Means for Life Sciences
Gartner® 2022 Hype Cycle™ for Natural Language Technologies (NLT) shows natural language query (NLQ) adoption is accelerating. WhizAI was recently recognized as a Sample Vendor in the Natural Language Query category in several Gartner Hype Cycles:
AI Powered Business Intelligence for Life Science Leaders: Save Time, Drive Adoption and Scale Faster
Today’s commercial teams must pinpoint top opportunities in markets across the country—or across the world—based on regulations, drug trials, market activity, competitors, insurance records, HCP preferences and affiliations, much more data than is humanly possible to manage.
Why Domain Expertise Is Essential for Life Science Analytics
Domain expertise matters. Consider this: Enterprises choose transportation and logistics companies that have created the specific types of services they need. Businesses seek professional services with experience in their industries and look for consultants with good track records in their markets. However, remember that domain expertise benefits extend to analytics platforms, particularly those deployed for life sciences.