Agentic Academy
Enterprise AI doesn’t fail because of models. It fails because of missing contracts, unclear governance, and APIs that were never designed to be consumed by agents.
Agentic Academy exists to close that gap.
This is where enterprise architects, AI practitioners, and system builders come to learn the craft of building agents that work—in production environments with real constraints. No hype cycles. No breathless predictions. Just rigorous analysis, battle-tested patterns, and the hard-won lessons that separate production-ready AI agents from expensive experiments.
What you’ll find here
Agent building and orchestration. Practical approaches to designing, building, and coordinating AI agents in enterprise environments. From single-agent patterns to multi-agent orchestration, the architectural decisions that determine whether your agents collaborate or collide.
Skill architecture. How to define, expose, and manage the capabilities that agents use. From tool definitions to skill registries, the patterns that make agent integration predictable and scalable.
Protocol deep dives. MCP, OpenAPI, AsyncAPI, and the emerging standards shaping agent-to-system communication. What they do, where they fall short, and how to implement them in enterprise contexts.
System integration for agents. Best practices for building systems that are discoverable, self-describing, and agent-consumable—without sacrificing the governance and security your enterprise demands.
Governance frameworks. Because moving fast without guardrails isn’t innovation—it’s technical debt with a longer fuse. Approaches to agent oversight, capability management, and operational readiness.
Enterprise deployment. Where agentic AI meets the reality of existing systems, data contracts, and organizational complexity. Practical strategies for incremental adoption.
Who writes this
Agentic Academy is written by enterprise practitioners with deep experience in agentic AI, system architecture, and building production-ready AI agents.
Markus Müller is Global Field CTO for API Management at Boomi, bringing a practitioner’s perspective to building and deploying AI agents in enterprise environments. With extensive experience in enterprise integration and agentic system design, he provides field notes from building, advising, and shipping AI agents at scale.
Matt McLarty serves as CTO at Boomi, contributing strategic insights on enterprise architecture and orchestration patterns for multi-agent systems.
Our contributors bring real-world experience from the enterprise trenches—this isn’t analyst commentary from the sidelines, but practical guidance from teams actively building and deploying AI systems at scale.
The philosophy
The best AI agents will be built on the best foundations. That means architectures designed with intention, protocols implemented with rigor, and governance treated as an enabler rather than an obstacle.
The enterprises that get this right won’t just adopt AI—they’ll compound its value over time while others rebuild from scratch.
Agentic Academy is here to help you be one of them.