How Block Deployed AI Agents Company-Wide in 2 Months

About this episode

Angie Jones discusses how Block deployed AI agents company-wide in just two months, detailing the evolution of the internal tool Goose and its impact across various departments.

What happens when a single engineer’s side project turns into a company-wide AI platform used by every department—engineering, product, marketing, finance, customer support, and sales? In this episode of the Hangar DX Podcast, Block’s VP of Engineering Angie Jones shares the inside story of how Block deployed AI agents across the entire organization in just eight weeks. She reveals how an internal tool called Goose—originally built by one engineer—became one of the first-ever MCP clients, exploded as an open-source project, and evolved into a general-purpose agent powering workflows across the company. We also dig into security and governance, adoption strategies, and practical lessons that every platform team can learn from. 00:00 Introduction to AI Transformation at Block 04:18 Building Goose: The AI Agent 08:50 Adoption Across Departments 11:59 Scaling MCP Servers 13:17 Technical Challenges with MCPs 16:33 Governance and Security of MCPs 17:35 Tool Overload and Centralization Strategies 20:09 Overcoming Cold Start Problems 23:34 Evolving Goose for Different Departments 25:58 Open-Source and Internal Development 28:05 Measuring Success in AI Initiatives 30:02 Recommendations…

People in this episode

Host: Ankit Jain

Guest: Angie Jones

Topics covered

• AI deployment
• organizational transformation
• engineering
• open-source
• governance
• adoption strategies

Keywords

• AI agents
• Block
• Goose
• MCP
• adoption strategies
• security
• open-source

Mentioned in this episode

Organizations: Block, Goose, Block, Inc.

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