Building Reliable AI Agents Across the Enterprise
AI agents are rapidly moving from experimentation to real-world deployment, helping organizations automate workflows, accelerate decision-making, and unlock new levels of productivity. Yet as adoption grows, so do the challenges. Reliability, governance, security, scalability, and operational oversight have become critical concerns for organizations looking to move beyond proof-of-concept projects and deploy AI agents at enterprise scale.
Join us for an insightful panel discussion exploring what it takes to build AI agents that organizations can trust. Our panel of industry leaders will examine the technical, operational, and organizational foundations required to ensure AI agents deliver consistent value while operating safely and effectively across complex enterprise environments.
The discussion will cover topics such as agent architecture and design, reliability and resilience, human oversight, governance frameworks, risk management, integration with enterprise systems, and the evolving role of AI agents within modern organizations. Panelists will share practical lessons learned from real-world implementations and discuss how organizations can move from isolated pilots to scalable, enterprise-ready AI agent ecosystems.
Whether you are a technology leader, AI practitioner, business executive, or innovation professional, this session will provide valuable insights into building AI agents that are not only intelligent, but reliable, accountable, and aligned with business objectives.
Speakers
Dippu Kumar Singh, Leader Of Emerging Technologies at Fujitsu
Raji RV, Customer Success Architect at IBM
Jen Barnes-Nolan, Founder at JenAI Consulting
Timothy Stockstill, Co-Founder and CTO at 4thWAIV
Moderated By
Alina Rivilis, MA, MBA
Founder & CEO, AI Future Leaders
Join us as we explore how organizations can confidently scale AI agents from experimentation to enterprise capability, creating measurable business value while maintaining trust, control, and operational excellence.