video1.0<iframe src="https://www.loom.com/embed/0e02b4981d7f404ab08697d306ad5955" frameborder="0" width="1916" height="1437" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14371916Loomhttps://www.loom.com14371916https://cdn.loom.com/sessions/thumbnails/0e02b4981d7f404ab08697d306ad5955-e8675247de184c53.gif644.95This Loom explains how QuantAI implemented a four-layer AI operating system for the BrightPath financial planning firm to improve efficiency while maintaining regulated governance. BrightPath was rated about 3 out of 10 in AI maturity, and the fix focused on standards, configuration, governance, workflow SOPs, and a shared versioned prompt library, plus AI training and measurement. In the first pilot for advice preparation, drafting time dropped about 34% faster, and for email handling it dropped about 30%, targeting around 20% and reclaiming over a thousand hours per year. A live demo shows the AI can draft and propose meeting times but cannot provide advice or send messages without a human review gate, and it prevents client data from going into AI tools without safeguards.