From cost pressure to the efficiency revolution
Whether you are a manager in banking operations, responsible for customer experience or a customer advisor – you know the daily scenario: customer inquiries reach the bank today via a multitude of channels in an uncoordinated and simultaneous manner. Be it by email, via SecureMail, website forms, chat or the traditional telephone. But all too often these inquiries end up somewhere. In an overcrowded mailbox, in a confusing ticketing queue or on the desk of an employee who is actually responsible for completely different issues.
Do I really need AI?
A modern digitization project without AI – is that even conceivable or justifiable?
The answer is as sobering as it is liberating: YES!
Many current problems can still be solved effectively with classic process automation. While companies invest considerable resources in AI initiatives, the return on investment of which often takes years to materialize, proven automation approaches can deliver measurable results within months.
The key challenge lies not in the technology itself, but in the correct allocation: which approach addresses which problem most effectively? This article guides you through the strategic decision-making process and highlights the differences between classic process automation, intelligent process automation (IPA) and autonomous AI agents.
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