#automated-underwriting-aus

#automated-underwriting-aus

Cleaner files mean our underwriting team can focus on high-value risk decisions instead of clearing avoidable conditions, Jake Rowoldt, vice president of information services at Waterstone Mortgage, said in a statement.

“fireball burning everything in its path”

Our view is that large-language model digital agents can effectively do a non-immaterial portion of the work currently provided by 20-30k independent agents across the United States. The core of the firm's bearish thesis centers on a massive pool of routine, low-complexity insurance policies.

Prudent AI seeks to streamline this process to keep lenders from switching tools, reconciling results across platforms or being surprised by income calculations deep into the loan approval timeline. The company claims that, in some cases, the juggling of multiple tools causes disqualifying factors to not be uncovered until 28 days after borrower engagement begins. One tool. All income types. All loan programs, Jayendran GS, co-founder of Prudent AI, said in a statement.

For most of modern finance, one number has quietly dictated who gets ahead and who gets left out: the credit score. It was a breakthrough when it arrived in the 1950s, becoming an elegant shortcut for a complex decision. But shortcuts age. And in a world driven by data, digital behavior, and real-time signals, the score is increasingly misaligned with how people actually live and manage money.

According to Li Mandri, ING's centralised approach to AI development has resulted in a high success rate for pilot projects, with 90% moving to production compared to the industry average of 30. The bank has standardised on cloud-hosted AI models from preferred partners, which are then made available globally, allowing ING to scale. He says the platform is centrally managed with risk controls, guardrails and real-time monitoring.

In Australia, AI has largely been positioned as a way to stretch limited skills capacity in high-cost specialist roles, rather than as a headcount reduction tool. Despite widespread tech layoffs globally and locally over the past few years, Australia's skills shortage has remained largely unchanged. Cuts at large technology firms have often weakened the broader ecosystem, impacting smaller suppliers and subcontractors alongside the firms making redundancies. Rather than releasing excess capacity into the market, layoffs have tended to redistribute pressure across an already constrained talent