Humsana

AI agents can use tools, delegate tasks and execute multi-step workflows across business systems. But as they work, the action they eventually propose can differ from the authority they were originally given. Changes can arise through new information, delegation, unexpected tool outputs or malicious instructions. Broad permissions may allow actions beyond the original mandate, while human approval at every step limits autonomy. Using a second AI model to monitor the first introduces another probabilistic judgment. Companies need a reliable way to verify that consequential actions remain within their original authorization before execution.