People First, Technology Behind the Scenes | Neil Armstrong, CRO of Indecomm | Connect Podcast
The mortgage industry has been talking about AI and automation for years — but where is it actually delivering results today? In this episode of Connect, California MBA CEO Paul Gigliotti sits down with Neil Armstrong, newly appointed Chief Revenue Officer of Indecomm, to dig into the real-world mechanics of operational automation in mortgage lending. Neil brings a rare perspective — 20+ years in the industry, including time on the lender side at PHH and Citi Mortgage — and he's not here to sell buzzwords. He's here to talk process, ROI, and what it actually takes to build a scalable lending operation. From machine learning-based document classification to automated underwriting, from breaking down operational silos to the critical role of change management, Neil lays out exactly what's working, where lenders get stuck, and what the next wave of agentic AI looks like inside the mortgage lifecycle. In this episode: • Why cost-per-function analysis is replacing headcount as the efficiency benchmark • How Indecomm's IDX system is cutting title review from 38 minutes to 3 and appraisal review from 40 minutes to 6 • The 60% lift in underwriter productivity — and how automated underwriting is getting there • Why you can't automate a bad process (and what to fix first) • Change management as the #1 deployment killer — and how to get buy-in from the top down • The difference between deterministic rules, machine learning, and true generative AI (and why it matters) • What's coming next: agentic AI as a digital assistant for auditors and underwriters • The human-technology balance — why borrower-facing automation isn't the goal Connect is the California MBA's podcast where strategy, innovation, and leadership come together to shape the future of mortgage finance. Subscribe for new episodes featuring the voices driving the industry forward.