<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/1ef2768f3c114206acb16bbdf45d7d81&quot; frameborder=&quot;0&quot; width=&quot;1668&quot; height=&quot;1251&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1251</height><width>1668</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1251</thumbnail_height><thumbnail_width>1668</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/1ef2768f3c114206acb16bbdf45d7d81-fd9a7af0f1897d6b.gif</thumbnail_url><duration>289.583</duration><title>Outbound system breakdown for HFH Group</title><description>This Loom explains an AI driven prospecting system for technical vessel services. It uses very small public signals, classifies them with an AI agent tailored to the client’s hydraulics needs, enriches contacts, and performs multi channel outreach to specific fleet decision makers such as Fleet Technical Managers and Technical Directors. The system also classifies survey dates by searching for vessel IMO numbers and pulling information from sources including DNV, with survey due dates serving as strong maintenance signals. The speaker cites positive replies from large companies in July, and shows examples of matched vessels, deficiencies, survey windows, and highly specific email drafts. The team will only send outreach after customer approval.</description></oembed>