<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Helmfast field notes</title><description>Writing about governed deployment, knowledge systems, and the operating layer between an AI prototype and production.</description><link>https://www.helmfast.ai/</link><language>en-us</language><item><title>The Hidden Cost of &apos;Locally Built&apos; Agents: Compliance Risk, Key Person Dependency, and the Scale Problem</title><link>https://www.helmfast.ai/blog/locally-built-agents-cost/</link><guid isPermaLink="true">https://www.helmfast.ai/blog/locally-built-agents-cost/</guid><description>A working AI agent on a developer’s laptop is not the same thing as a production AI system. The gap between the two is where compliance exposure, key person dependency, and scaling failure live. This post names the three hidden costs teams rarely account for until they are already paying them.</description><pubDate>Mon, 20 Jul 2026 00:00:00 GMT</pubDate><category>Governance</category><category>AI agents</category><category>AI operations</category><category>Helmfast</category><category>Compliance</category><category>Agent infrastructure</category><category>AI strategy</category><author>Andrew O&apos;Donnell</author></item><item><title>The AI Tool Adoption Gap: Why Buying the Subscription Is the Easy Part</title><link>https://www.helmfast.ai/blog/ai-tool-adoption-gap/</link><guid isPermaLink="true">https://www.helmfast.ai/blog/ai-tool-adoption-gap/</guid><description>Microsoft’s Copilot has tens of millions of paying subscribers. Only about 36 percent use it regularly. That gap between license purchase and active use is where most AI investments stall, and it’s almost never a technology problem.</description><pubDate>Mon, 08 Jun 2026 00:00:00 GMT</pubDate><category>Field notes</category><category>AI adoption</category><category>Deployment</category><category>Workflow</category><category>Copilot</category><category>SMB</category><category>ROI</category><author>Andrew O&apos;Donnell</author></item><item><title>Claude Managed Agents and the Helmfast Thesis: Why Sovereign Deployment Matters</title><link>https://www.helmfast.ai/blog/claude-managed-agents-helmfast-thesis-sovereign-deployment/</link><guid isPermaLink="true">https://www.helmfast.ai/blog/claude-managed-agents-helmfast-thesis-sovereign-deployment/</guid><description>Anthropic’s launch of Claude Managed Agents validates the market for agent orchestration platforms—and draws a clear line around what they’re optimizing for. For regulated companies that can’t route operational data through a third-party managed service, the gap is structural. Here’s what we’re building to close it.</description><pubDate>Wed, 08 Apr 2026 00:00:00 GMT</pubDate><category>Deployment</category><category>AI</category><category>Claude</category><category>Helmfast</category><category>Agent deployment</category><category>Compliance</category><category>Cloud infrastructure</category><author>Andrew O&apos;Donnell</author></item></channel></rss>