As many banks continue their struggle to close crucial AI governance gaps, there’s a new risk on the horizon: giving AI agents broad autonomy over critical business processes. Even as agentic AI rides the crest of the hype cycle, Gartner, Inc. warned in April 2026 that fully autonomous agents were “not ready for the majority of enterprise use cases.” ​ The risk of ungoverned agentic AI use is real and growing. Despite this, Gartner further reported that more than 60% of organizations were expected to deploy AI agents by 2028, up from 17% that had done so at the time. ​While an agentic disaster may not yet be upon us, the trajectory is clear: The downsides of AI, such as lack of interpretability, hallucinations and sycophancy, could easily wreak havoc if amplified through multiple AI agents and left unchecked. Moreover, the situation becomes even more complex––and the risk stakes higher––when agents are allowed to self-adapt. The interpretability and auditability of agents’ decisions can be complicated by factors ranging from operational sensitivities to environmental conditions at the time of execution, often with material customer impact.

Full report : The Missing Layer In Agentic AI: Blockchain-Based Governance.