Architecting Agentic AI Platforms with Khushboo

Anyone can use an open-source framework to spin up a single AI agent. But in the corporate world, you don't deploy standalone scripts. You need to build a robust, scalable Agentic AI Platform-the underlying infrastructure that allows hundreds of agents to run concurrently, securely, and cost-effectively.

In this 90-minute live systems breakdown, we are looking entirely at the platform layer. We will bypass the basic agent programming tutorials to focus completely on how to design and build an Enterprise Agent Control Plane.

What we will cover:

• The Platform Storage & State Engine: Designing global, multi-tenant memory layers so the platform can manage taxonomic and episodic memory across thousands of distinct agent sessions.
• Compute & Execution Orchestration: How to build a serverless execution runtime that "freezes" agent execution state to disk during human-in-the-loop validation checkpoints and "thaws" it instantly when triggered.
• Platform Governance & Rate-Limiting: Setting up system-level guardrails, centralized token-logging, and cost-control matrices to intercept runaway agent loops before they hit your API wallets.