Why Every Organization Needs an AI Agent Marketplace
How to scale AI adoption across your enterprise without chaos, duplication, or compliance nightmares

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Series
Most organizations let every team pick their own AI tool. Some use Claude Code, others use GitHub Copilot, others Cursor or Copilot Studio. The result: duplicated workflows, inconsistent governance, and AI capabilities trapped inside individual teams.
This series shows you how to fix that with an internal AI Agent Marketplace: a shared catalog of skills, agents, and rules that every team can install into whichever AI platform they already use. Consistency without forced standardization.
Inside you'll find a 3-part core walkthrough (why the pattern matters, how to build one, how to integrate it), 5 platform-specific guides (Claude Code, GitHub Copilot, Copilot Studio, Cursor, Azure AI Foundry), and 5 bonus posts covering ROI modeling, a 90-day adoption playbook, 15 ready-to-build plugin recipes, real case studies across company sizes, and an AI maturity model. A production-ready boilerplate repository ships alongside the series so you can fork and customize on day one.
Who it's for: platform engineers, engineering managers, and governance teams who want AI adoption to scale without becoming a sprawl of disconnected experiments.