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    <description>Pennybacker AI is a founder-led applied-AI firm in Austin, Texas. We build production AI systems for operators in energy, industry, and finance — AI roadmaps, custom agents, MCP integrations, and document intelligence, shipped and operated.</description>
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    <lastBuildDate>Fri, 04 Sep 2026 18:34:44 GMT</lastBuildDate>
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      <title>Putting an engineering document register under AI classification without breaking document control</title>
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      <description>Drawings, specs, transmittals and vendor data pile up faster than any team can tag them. How to design an AI classification layer over a project document register: the metadata schema, the pipeline, confidence routing, revision tracking, and cited answers.</description>
      <pubDate>Wed, 02 Sep 2026 12:00:00 GMT</pubDate>
      <author>Ryan Harty</author>
      <category>document-intelligence</category>
      <category>energy-industrial</category>
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      <title>MCP servers over enterprise systems: a governance-first pattern</title>
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      <description>How to make an ERP, a schedule, or a document system conversational without handing the model the keys: one server per system, read-first tools, identity passed through, every call logged, evals before demos.</description>
      <pubDate>Wed, 02 Sep 2026 12:00:00 GMT</pubDate>
      <author>Ryan Harty</author>
      <category>mcp</category>
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      <category>governance</category>
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      <title>Why AI pilots die in the gap between the deck and production</title>
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      <description>Most AI initiatives in operations do not fail on model quality. They fail in the handoff between strategy and engineering. What the gap looks like from inside a real operation, and the three things that close it.</description>
      <pubDate>Wed, 02 Sep 2026 12:00:00 GMT</pubDate>
      <author>Ryan Harty</author>
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