Our world became digital. The consumers expect easy access to their bank account at every time. And, of course, every transaction has to be safe. All the sensitive bank data as well as the confidential information about the customer itself must be protected.
To meet those expectations, the financial industry has to adapt new technology. The latest developments in AI and RPA are opening new ways and giving unique possibilities to the financial sector.
Roboter as advisers and experts in financial affairs
In the past, a bit of good financial advice was a matter of trust. It required a stable personal relationship between the financial consultant and his – mostly long-term – client.
About 10 years ago, first Robo-Advisers were developed. With special algorithms, banks and other financial institutions could provide extended financial services with just a little – or even without any – human involvement at all.
Now a new hybrid model is taking over. The Robo-Advisers and human financial consultants are working together to offer better guidance and service to the clients. This way, the customers benefit from algorithmic insights and extended analytics as well as from a consultant`s professional and detailed advice.
Artificial Intelligence (AI) in the financial industry
AI is already being used by financial companies to offer better customer service to their clients. Especially the modern chatbots improved significantly the financial customer care sector.
Although the bots can’t solve the support cases independently yet, the AI is easily able to provide extensive help to the human agents, listening to the incoming calls and presenting all the needed information instantly. This way customer service agents can work more efficiently.
So, in the back office, the new generation of AI provides a reliable prognosis about mortgage loans, stock transactions, and even the company`s entire performance. This allows financial institutions to save money, time and to make good strategic decisions for the future.
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Robotic Process Automation in the financial sector
The RPA had changed the financial industry dramatically. All the repetitive, rule-based processes, has been transferred from humans to progressive machines. And now robots manage such routine tasks as credit assessments, credit underwriting or fraud detection.
The machines are working every day, around the clock, without pause, vacations or sick leaves. So the work is done more efficiently.
In addition, the robots are accomplishing every task with ultimate precision. This way every human error, that usually comes at a high cost in the financial sector, can be excluded entirely.
Now the employees can spend their time with more creative and lucrative tasks.