Avaloq and Enterprise Bot team up to boost customer service
By Megha Bhattacharya
Avaloq has announced a new partnership with AI startup Enterprise Bot. The collaboration will see Avaloq offering Enterprise Bot’s conversational customer service software to its banking and wealth management clients.
Avaloq’s clients will now be able to access Enterprise Bot’s software, which is already connected with the former’s core banking platform through the open banking marketplace Avaloq.one Ecosystem. This allows the end-clients to interact with the conversational AI, which helps to respond to questions in an intuitive and efficient manner, leading to increased customer satisfaction over any channel, including email.
Martin Greweldinger, Group Chief Product Officer of Avaloq, said, “We are impressed by Enterprise Bot’s sophisticated AI solutions, and are pleased to offer this intuitive email and chatbot function to our clients in the Avaloq.one Ecosystem. Through our open banking platform, we are connecting financial institutions with up-and-coming fintechs and third-party providers, such as Enterprise Bot. The aim is to create a collaborative environment in which established players benefit from the best-of-breed technologies and startups can accelerate their growth.”
AI startup Enterprise Bot leverages a pre-integrates system for establishing an AI customer service agent for the FinTech’s wealth management clients.
Recently, Avaloq announced that Swiss-based Confinale is now a Premium Implementation Partner. The company has also introduced Infinogy as a new Special Service Partner. Banking IT specialist Confinale has been the company’s partner since 2015.
Co-Founder and CEO of Enterprise Bot, Pranay Jain said, “Our partnership with Avaloq is an opportunity to provide their customers with enhanced service features while reducing the burden on their human customer service representatives. Our AI represents your best agent, fielding often repetitive queries that have previously taken up a significant amount of employees’ time. While similar services take up to a year to fully implement, we use historical data that allows us to have your system up and running smoothly in under three months.”
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