An Architect in Applied AI means being on 20+ calls per week with customers implementing AI in production. These are customers ranging from the largest telecom providers in the world to the largest banks worldwide, healthcare, retail, and organizations across the globe. The calls range from discovery to mapping out architecture to AI implementation and everything in between.

Within all of those calls over months at a time, there's a vast amount of information that's collected to fully understand how AI can, and should, be implemented for any company in the world.

In this session, I'm going to go over the top 5 things that every organization asks for when implementing anything Agentic, regardless of the sector they're in.

The topics will include:
1. Agent and agentic network security around AI Gateways, MCP, LLMs, and Agent Skills.
2. Agent quality output (evals and deterministic behavior).
3. Authentication and authorization with standard OIDC/iDP practices along with OAuth, ReBAC and ABAC.
3. Multi-agent architectures.
5. Cost and performance optimization when thinking about tokens, caching, and inference.

The goal of this session is for everyone to be able to leave knowing exactly what organizations are looking to implement when it comes to Agentic today, so everyone can prepare to do the same, or similar, based on current production AI needs.