<?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/432142b8558d4bfb86249702cc1d640c&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/432142b8558d4bfb86249702cc1d640c-9b81ca58f1144b28.gif</thumbnail_url><duration>330.278971</duration><title>How We Automate Impact and Finance Reporting</title><description>This Loom explains how their data and transparency reporting are kept fully automated using Notion plus AI tools. Monthly partner updates are submitted to an update hub, automatically parsed to extract new beneficiaries (for example, adding 298 in a Kenya period poverty project) and published to the website after approval. Grant payouts are tracked by detecting payments from a banking account and updating a payout table so deployed amounts by country and other dimensions stay current. Quarterly reports are generated automatically in about 10 to 15 minutes, previously taking about a week, and a fixed monthly cost view is also populated by identifying recurring bank statement expenses.</description></oembed>