Operationalizing AI agents: Delivering reliability at scale

For telecom leaders embedding AI across operational layers—from customer experience to network resilience—success depends not just on model performance, but on how reliably these systems operate under real-world conditions. Whether you're optimizing workflows, enhancing incident response, or scaling intelligent assistants, building trustworthy AI requires more than experimentation—it demands discipline, structure, and repeatability.

In this practical session, Rasam will share strategies honed through work with top engineering teams tackling large-scale AI deployments. Attendees will learn how to:

• Adapt test-driven development (TDD) principles to AI agents operating within real-time, high-availability systems
• Design modular, orchestrated architectures that improve reasoning integrity and maintain service quality
• Leverage evaluation frameworks to ensure behavioral consistency and operational readiness
• Track the evolution of agentic automation—from targeted task execution to autonomous decision support across distributed systems

For teams seeking dependable AI-powered solutions that align with the complexity of telecom environments, this session offers essential tools for closing the gap between pilots and production.