The Banking Assistant allows users to securely access their banking information and complete tasks as if they’re conversing with a teller. Now that we have our motivation, let’s take a look at the development steps. This requires less time than training and re-training employees for the same. Also, AI-powered solutions are data-driven and can be improved with time and continuous training. Targeting lower customer interaction times by reducing the human-hours spent on solving previously seen issues is one of the major benefits. Virtual assistants are efficient in terms of time spent by employees. This makes it advantageous for enterprise applications that are concerned about data privacy and security as data is never shared. The MindMeld platform offers a significant advantage over cloud-based conversational AI platforms by allowing for data storage entirely on an organization’s local servers. Data securityįor enterprises like banks, customers’ personal data is extremely sensitive. This serves as motivation for our new Banking Assistant blueprint: a virtual bank teller that shows off some of our amazing functionalities. The MindMeld platform, widely used for developing robust assistant applications, is ideal for the same. With the growing popularity of FinTech, major financial institutions are looking at smarter solutions for providing their services to clients - conversational IVR, or virtual assistants, is one of the prominent targets. Image Credit: FinTech Ranking Motivation & considerationsīefore diving into the details of development, let’s talk about some key contributing factors behind the idea of this app.

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