The Protocol Practice
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.
The Protocol Practice exists to close that gap.
This is where enterprise architects, API practitioners, and integration leaders come to learn the craft of building systems that work—today for humans, tomorrow for agents. No hype cycles. No breathless predictions. Just rigorous analysis, battle-tested patterns, and the hard-won lessons that separate production-ready AI from expensive experiments.
What you’ll find here
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.
API design for the agentic era. Best practices for building APIs that are discoverable, self-describing, and agent-consumable—without sacrificing the governance and security your enterprise demands.
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.
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.
Governance frameworks. Because moving fast without guardrails isn’t innovation—it’s technical debt with a longer fuse. Approaches to API governance, agent oversight, and operational readiness.
Enterprise integration. Where agentic AI meets the reality of existing systems, data contracts, and organizational complexity. Practical strategies for incremental adoption.
Who writes this
The Protocol Practice is written by Markus Müller, Global Field CTO for API Management at Boomi. With deep experience in enterprise integration, API strategy, and the emerging landscape of agentic AI, Markus brings a practitioner’s perspective to the protocols and patterns shaping how enterprises build for AI.
This isn’t analyst commentary from the sidelines. It’s field notes from someone building, advising, and shipping in the enterprise AI space.
The philosophy
The best AI systems will be built on the best foundations. That means APIs 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.
The Protocol Practice is here to help you be one of them.