AI-native vs AI-assisted: Why trade finance is the real test
By Deekshith Marla, Founder and CEO of Arya.ai
Almost every enterprise process is augmented by AI, where AI models help extract information from documents or summarise a case. These capabilities are valuable, but their integration does not necessarily make a system AI-native.
In such cases, AI has been added onto an existing process. The same rules and approval structures coded in the software govern the workflow, while AI helps complete individual tasks more quickly. Essentially, the technology augments the workflow without fundamentally changing how work moves through it.
An AI-native system starts from a different premise. Intelligence is embedded in the workflow rather than added on top as a layer. The system can not only extract and interpret information but also determine the next steps by coordinating with other agents and APIs. It can also escalate a decision when human judgement is required.
AI-assisted vs AI-native: Visual explanation
Consider the...
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