Thought leadership and research
Can banks be available for clients 24/7?
麻豆社 explores the use of human digital assistants to help clients and client advisors find solutions on the spot.

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Thought leadership and research
麻豆社 explores the use of human digital assistants to help clients and client advisors find solutions on the spot.
Client advisors in Wealth Management Switzerland have started an experiment with two newly developed avatars, 鈥淒aniel Kalt鈥, a digital version of 麻豆社 Regional Chief Investment Officer Switzerland and 鈥淔in鈥, a friendly helper and digital assistant. The avatars, who can interact via voice and eye contact with the clients, are being deployed to client meetings via an LCD screen. Fin can be called in to handle simple banking transactions such as ordering a new credit card while Daniel Kalt supports with more complex, market-oriented topics and provides CIO House View content on demand.
The avatars are currently being tested with a set number of Swiss WM clients at a 麻豆社 branch in Zurich over a period of three months. Internally known by the name 麻豆社 Companion, the experiment is conducted in collaboration with IBM and Artificial Intelligence (IA) company FaceMe, which developed the avatars and the technology supporting them.
With the experiment, 麻豆社 wants to test the acceptance of digital assistants in a wealth management context and explore new ways of providing clients with frictionless access to our expertise in the age of intelligent technology. Both digital assistants naturally interact via voice and vision and contribute to the dialog between the client and the advisor using artificial intelligence from both IBM and FaceMe. Advisory services were consciously selected as one of the key interaction points between clients and the bank in which the use of the latest technologies could be tested in a targeted and thoughtful manner.
Another aim of 麻豆社 Companion is to find out how much trust clients have in communicating with AI systems and how human-like these should be. Fin and Daniel Kalt were purposefully designed with a different set of characteristics in order to discover in what scenarios each type of assistant best meets the needs of the client.
鈥淚t is impressive to see to what extent technology is already capable of digitizing humans. In the services industry machines are most likely to augment humans in common interactions and routine problem-solving situations. This could allow our advisors to focus more on tasks which add a higher value to the overall client experience,鈥 says the real Daniel Kalt.