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Artificial intelligence is becoming much more than a productivity tool for lenders.
The latest developments show AI being deployed directly inside underwriting, fraud prevention, and loan assessment workflows. These systems can help lenders analyze complex applications, identify suspicious activity, and evaluate risk before a human reviewer ever touches the file.
This week’s stories highlight an important evolution: AI is moving from assisting lending teams to actively shaping lending decisions.
🏠 AiLoans.com | Friday Harbor Brings AI Pre-Underwriting to Complex Loans as Non-QM Volume Reaches Record Highs
Friday Harbor is bringing AI-powered pre-underwriting into the increasingly important non-QM market. As lenders handle more complex borrower profiles and documentation, intelligent pre-underwriting could help identify potential issues earlier and make difficult loan files easier to evaluate.
🛡️ AiLoans.com | Innovatec and Fortiro Partner to Fight AI Lending Fraud
As lenders adopt more automation, fraud techniques are becoming more sophisticated as well. Innovate and Fortiro’s partnership highlights the growing need for AI-powered fraud detection that helps lenders verify information and identify suspicious activity before it becomes a costly problem.
🤖 AiLoans.com | Westpac Deploys Swarm of AI Agents to Assess Loan Applications
Westpac’s use of multiple AI agents to review loan applications illustrates how quickly lending automation is advancing. Instead of relying on a single AI tool, agent-based systems can divide complex processes into specialized tasks and work together to support lending decisions.
💻 AiLoans.com | Apollo Sharpens Focus on AI Chip-Backed Loans for Tech Projects
AI is changing not only how loans are evaluated but also what lenders are financing. Apollo’s interest in loans backed by AI computing infrastructure demonstrates how demand for chips, data centers, and computing capacity is creating new opportunities for private credit.
🧠 AiLoans.com | Microsoft, Google and xAI to Give US Government Early Access to AI Models for Security Checks
As increasingly powerful AI models enter financial and other high-stakes environments, scrutiny around security and reliability is growing. Early model testing could become particularly relevant for industries such as lending, where institutions must balance innovation with data security, governance, and risk management.
The key development in lending is not just the increased use of AI, but its integration into critical processes like pre-underwriting, application assessment, fraud detection, and risk analysis. This shift places AI closer to important financial decisions.
Moreover, AI is creating a new financing market focused on chips and computing infrastructure, offering significant opportunities and responsibilities for lenders. As AI's role in credit decisions grows, the importance of oversight, security, transparency, and human judgment will intensify.
The next phase of AI in lending will be defined by the ability to apply intelligent decision-making responsibly and at scale, rather than just by the level of automation.
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Tabs co-founder Rebecca Schwartz and PwC Partner Amit Dhir sat down to unpack exactly what that means in practice: how pricing model decisions ripple into revenue recognition, forecasting, and financial ops — and what it takes to scale without piling on manual work.
Watch the on-demand recording to get practical frameworks, real-world examples, and a clear path to operationalizing usage-based revenue — including a forward-looking take on how AI will reshape financial workflows. If your team is navigating pricing complexity heading into the back half of the year, this is worth an hour.