Governing the AI Agent Workforce Across Its Lifecycle

AI agents are moving from experimentation to mission-critical automation across enterprises forming an emerging AI agent workforce.

Yet 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

In this executive session, leaders will explore how the enterprise operating model must evolve to support autonomous agents and see practical examples of how agent architectures and lifecycle governance frameworks work in real business scenarios.

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.

• How to align governance, talent, and operating models to support mature agent adoption

Enterprises that establish these disciplines now will lead the next phase of AI-driven transformation.

Speakers

Reddy Raja

CTO, Covasant Technologies

Reddy Raja is a senior technology leader with decades of experience driving AI, automation, and digital transformation initiatives across industries. He has helped global enterprises design and deploy intelligent systems at scale, balancing innovation with compliance and governance. His expertise lies in enterprise AI strategy, intelligent automation, and scaling agent-based systems for measurable business outcomes.

Manjot Singh

Principal Consultant, Agentic Products, Covasant Technologies

Manjot Singh is an AI strategist and product leader with hands-on experience in scaling AI adoption for global enterprises. He has led initiatives spanning AI deployment, product innovation, and compliance frameworks, ensuring organizations can confidently move from proof-of-concept to production. His focus is on building operational models that accelerate ROI from AI investments while maintaining security and compliance standards.

Subhendu Pattnaik

Chief Marketing Officer, Covasant

Subhendu Pattnaik is a seasoned enterprise marketing leader with over two decades of experience shaping brand, demand, and go-to-market strategy for global technology firms. Prior to Covasant, he served as a Principal Analyst and CMO Advisor at Forrester, partnering with CXOs across APAC to modernize marketing operations and accelerate growth. He has also led global marketing at Cigniti and held leadership roles at Tata BSS and Mindfire, bringing deep expertise in positioning emerging technologies, building high-performance marketing organizations, and driving commercial impact across markets.

Who Should Attend

• Designed for enterprise leaders shaping the future of AI operations:
• CIOs, CTOs, CDOs, CAIOs
• Chief Compliance & Risk Officers
• Head of Digital Transformation & Strategy
• Enterprise Architects & AI Program Leaders

Why Attend

• You will walk away with:
• A complete lens on the agent lifecycle approach
• Principles for enterprise-grade agent operations
• Models for safe, scalable deployment of the AI agent workforce
• Governance frameworks for agent accountability & human oversight
• A roadmap for lifecycle discipline, not just AI experimentation

The enterprise AI era will be defined not by who deploys agents fastest but by who governs them best.