Brimma's Blog

Welcome to our Blog, where we share our latest updates and insights.

Rethinking What You Spend on LOS Admin

Sit with an LOS admin for a week and you’ll see the gap between protecting compliance and babysitting brittle integrations. We define the true minimum LOS admin footprint—and the platform capabilities that eliminate remapping, retesting, and retraining from your budget.

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Can AI “Fix” Loan Defects the Way It Aims to Diagnose Diseases?

AI’s real lesson from healthcare is that narrow, step-by-step tools embedded in daily work—not flashy chatbots—can spot risk early and guide the next action. For mortgages, that means tightening policies first, then using an in-workflow early-warning score with plain reasons—treating investor-cured defects as real defects since they can be cherry-picked later.

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OpenAI: Lost Its Way—or Moving the Battlefield?

OpenAI’s flurry of moves—Sora 2, Media Manager, a browser, a Jony Ive device push, compute deals, and the ROI acqui-hire—looks scattered on the surface but points to a shift away from a commoditizing chat layer toward harder-to-copy ground: rights, runtime, distribution, and personalization. The catch: rivals like xAI, Microsoft, Google, and Meta are ahead on distribution, so leaders should treat chat apps as swappable, build agentic workflows around their own data, and own the channels where customers already are.

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Don’t Automate These Mortgage Tasks Yet

Not every mortgage task is a good candidate for AI. When risk is high, models are immature, or exceptions dominate, human-in-the-loop review erases the ROI—so the smart move is using AI for monitoring, packet prep, and routing, not final decisions. Brimma prioritizes automation where signals are clean and rules are codifiable (documents, validations, orchestration), and maps the rest by risk, model maturity, and exception load to decide what to defer, assist, or automate now.

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