ai agents
AI Under Watch – The Expert Take brings together leading experts to examine the technology, risks, ethical considerations, and implications of algorithmic decision-making. In each edition, we decode what happens behind the code and explore its real-world significance for professionals, businesses, and society as a whole.
In modern organizations, every automated decision represents a customer touchpoint, a value opportunity, or a potential friction source. That’s why decisions shouldn’t be managed in isolation – they must be orchestrated as part of an integrated strategy
A major concern when implementing AI for critical decisions is losing the ability to explain, audit and control outcomes. The good news? Today you can have fully governed AI that automates decisions without sacrificing traceability or compliance
Many organizations fell into the “automation at any cost” trap. They implemented automatic processes without considering logic, context or adaptability. The result? Fast but inefficient or insecure systems.
For years predefined rules were the backbone of decision engines. They’re clear, auditable, and create a sense of control, but they have critical limits.
For decades, financial institutions have relied on rules engines to assess risk and grant credit. These systems, based on predefined logical conditions, worked in stable environments. But today’s landscape is anything but stable.
