Enterprises Tighten AI Controls to Strengthen Governance

In a recent Business Standard feature, Xoriant Chief Transformation Officer Vineet Moroney shared insights on how enterprises are adopting guardrails to deploy AI agents safely and responsibly.

The article highlights that while agentic AI adoption is accelerating, organizations are limiting agent autonomy by controlling what agents can do, which systems they can access, and when human intervention is required.

Moroney explains that deterministic processes can help contain errors, while probabilistic systems such as large language models require greater refinement and process tailoring because the same input can produce varied outputs.

He also emphasizes the importance of designing AI architectures with appropriate controls as agents interact with enterprise tools, applications, data, and transaction systems.

Read the full article here.