Governing the AI Agent Workforce Across Its Lifecycle
As enterprises move toward an intelligent AI agent workforce, success will depend on lifecycle discipline
February 26th, 2026 | 10:30 AM EST About the Webinar
AI agents are moving from experimentation to mission-critical automation across enterprises forming an emerging AI agent workforce.
While creating agents is becoming easier, governing them responsibly across their lifecycle, from design to retirement, remains the biggest enterprise readiness gap.
Gartner predicts that by 2027, 40% of autonomous AI initiatives will fail due to lack of lifecycle management and governance frameworks.
Managing Agentic AI at scale now requires new disciplines in:
Architecture
Evaluation & Safety
Observability
Versioning & Rollback
Human-in-loop Governance
Retirement & Compliance
Join this executive webinar to discover how your enterprise operating model must evolve to harness the power of autonomous agents.
Speakers
Rammohan CV
Chief Delivery Officer, Covasant
Raghavendra Tadepalli
VP AI Engineering, Covasant
Subhendu Pattnaik
Chief Marketing Officer, Covasant
Key Takeaways
Reason why many LLM pilots fail to scale and the need for centralized governance.
How an enterprise agentic architecture works across creation, evaluation, deployment, supervision, and retirement.
How to decide when to use agents versus automation or copilots and how to measure ROI.
