The Governance Layer That Agentic AI Deployments Are Missing
Techstrong.ai, Tuesday, July 7th, 2026
Agentic AI deployments need governance built in from the start, not bolted on as an afterthought.
Sanjoy Ghosh argues organizations deploying agentic AI prioritize capability validation over governance, creating risk as they scale to production.
Teams treat governance as an afterthought, multi-agent systems produce unpredictable interactions beyond individual test coverage, and context scoping between agents raises security and reasoning issues.
In regulated industries like financial services, every step must be traceable, explainable, and auditable.
He recommends designing governance from the start by defining explicit agent permissions and verification. Four requirements are highlighted: audit trails, built-in human escalation, conflict resolution between agents, and retroactive explainability.