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ZS Advocates Building Responsible AI into Enterprise Systems from the Ground Up

Published 2026-03-13Ingested 2026-03-07AI Regulation and GovernanceMedium

Summary

In an interview with TechCircle, ZS executive Karan Dhundia argues that responsible AI practices must be embedded into enterprise systems from the design phase rather than retrofitted after deployment. The discussion comes as enterprises are transitioning from experimental generative AI use cases to deploying agentic AI systems capable of executing end-to-end workflows, raising the stakes for governance, safety, and accountability. The article touches on the evolving role of Global Capability C

Alignment: Reinforces current position
Related Positions: ai-governance-and-risk.md, agentic-workflows.md, enterprise-ai-delivery.md
responsible-aienterprise-aiagentic-aiai-governancegccglobal-capability-centreszs-associatesai-safetyworkflow-automationenterprise-deployment
ZS Advocates Building Responsible AI into Enterprise Systems from the Ground Up — Intelligence — Agentic Developer Tools Radar · Signal