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Shivam
Tyagi
Principal AI Engineer
RBC Group
Shivam is a Principal AI Engineer at RBC, specializing in agentic AI systems and production-grade enterprise GenAI solutions. He has led the development of multi-agent platforms using LangGraph, MCP, advanced RAG architectures and Kubernetes-based infrastructure, supporting teams across finance, risk, treasury and HR. He also mentors engineering teams on emerging agentic AI patterns, architecture and implementation.
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12 November 2026 16:30 - 17:00
Panel | Giving agents more autonomy without losing control
As AI agents become capable of planning, reasoning, and taking action with minimal human intervention, the challenge is no longer enabling autonomy, it's governing it. How do you give agents the freedom to make decisions while ensuring they remain secure, reliable, and aligned with business objectives? Join engineering leaders as they discuss the frameworks, guardrails, and architectural patterns that enable autonomous AI systems to operate safely in production. Learn how leading teams balance autonomy with human oversight, implement effective governance, and build trust in increasingly capable agentic systems. Key takeaways → Determine where agents should operate independently and where human intervention remains essential. → Design guardrails, permissions, and governance frameworks that enable safe autonomy. → Build monitoring and oversight mechanisms that maintain visibility into agent behaviour and decision-making. → Balance innovation with security, compliance, and operational control as agent capabilities continue to evolve.