From Excel to AI: Julian’s 14-Year Journey Building Loan Options AI

Julian, founder and CEO of Loan Options AI, walks through his 14-year journey from self-taught app developer to building a high-volume loan brokerage and launching technology that automates lender decisioning. He shares hard lessons about scaling, leadership, and where AI will take finance and mortgage broking. In this episode Julian explains how early tech experiments and an accidental start in automotive finance led to roles as NSW training manager and state manager, then to employee #1 at Auto Approve where he helped scale to 25 staff and ~$7M/month in car loans. Facing broken promises and an acquisition, he rebuilt Loan Options from a one-room office and Excel prototypes into a company investing millions in R&D. Julian discusses strategic lessons — back yourself, plan best/worst-case scenarios, diversify revenue channels beyond car loans, and protect fundamentals when expanding into software. He describes a recent team culture lesson after a company trip, why recurring software revenue reduces sales pressure, and his view that 80% of loans could be automated within 3–5 years, leaving brokers to handle complex edge cases. Julian also outlines industry shifts toward collaboration, licensed infrastructure, AI broker-support agents, and straight-through processing. Key takeaways: - Build tech to automate decisioning and free brokers for high-value cases. - Diversify channels (B2C, B2B, affiliates) to manage concentration risk. - Maintain fundamentals and leadership presence when scaling or launching new products. - Expect AI agents to handle admin at scale; brokers become more valuable on complex deals.