<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet href="/rss/styles.xsl" type="text/xsl"?><rss version="2.0"><channel><title>LendWithAI — the builder&apos;s playbook for AI-powered lending</title><description>Prompts, teardowns, case studies, and opinionated writing on using AI in lending. Updated 2–3× a week.</description><link>https://lendwithai.com/</link><language>en-us</language><item><title>Adverse action notices with LLMs: the explainability bar regulators actually enforce</title><link>https://lendwithai.com/blog/adverse-action-notices-with-llms/</link><guid isPermaLink="true">https://lendwithai.com/blog/adverse-action-notices-with-llms/</guid><description>How to draft an adverse action notice that survives ECOA Reg B, GDPR Article 22, and the plain-language fairness expectations of the FCA, MAS, APRA, OSFI, and RBI — with a working prompt and three jurisdictional renderings of the same decline.</description><pubDate>Mon, 04 May 2026 00:00:00 GMT</pubDate><category>compliance</category><category>adverse-action</category><category>ecoa</category><category>gdpr</category><category>explainability</category><category>llm</category><category>decline-notice</category><author>hello@lendwithai.com (LendWithAI)</author></item><item><title>Credit memo LLM bake-off: Claude vs GPT-4o vs Gemini on the same synthetic borrower file</title><link>https://lendwithai.com/blog/credit-memo-llm-bakeoff-claude-gpt-gemini/</link><guid isPermaLink="true">https://lendwithai.com/blog/credit-memo-llm-bakeoff-claude-gpt-gemini/</guid><description>A reproducible side-by-side run of Claude 3.5 Sonnet, GPT-4o, and Gemini 1.5 Pro on the same six-section credit memo prompt and the same synthetic borrower file — with scoring, costs, and an opinionated routing recommendation.</description><pubDate>Mon, 04 May 2026 00:00:00 GMT</pubDate><category>llm</category><category>credit-memo</category><category>claude</category><category>gpt-4o</category><category>gemini</category><category>bake-off</category><category>model-comparison</category><category>tools</category><author>hello@lendwithai.com (LendWithAI)</author></item><item><title>Early-warning signals for P2P lenders: the LLM repayment-message read that flags loans 30 days before they go bad</title><link>https://lendwithai.com/blog/early-warning-signals-p2p-llm-message-review/</link><guid isPermaLink="true">https://lendwithai.com/blog/early-warning-signals-p2p-llm-message-review/</guid><description>A weekly LLM review of borrower repayment messages and platform notes flags a meaningful share of the loans about to go 30+ DPD — earlier than the dashboard. With the prompt, a five-tier severity rubric, and a 30-thread benchmark.</description><pubDate>Mon, 04 May 2026 00:00:00 GMT</pubDate><category>p2p</category><category>early-warning</category><category>delinquency</category><category>llm</category><category>retail-lender</category><category>behavioural-risk</category><author>hello@lendwithai.com (LendWithAI)</author></item><item><title>AI credit scorecard vs ML model: which one actually fits a small-to-mid-sized lender?</title><link>https://lendwithai.com/blog/ai-credit-scorecard-vs-ml-model-which-fits/</link><guid isPermaLink="true">https://lendwithai.com/blog/ai-credit-scorecard-vs-ml-model-which-fits/</guid><description>The honest comparison between a rules-based AI-augmented scorecard and a trained ML default-prediction model — when to pick each, what they cost, and why the scorecard wins for most lenders under 10,000 active loans.</description><pubDate>Sat, 02 May 2026 00:00:00 GMT</pubDate><category>credit-scorecard</category><category>ml-model</category><category>underwriting</category><category>credit-risk</category><category>nbfc</category><category>p2p</category><author>hello@lendwithai.com (LendWithAI)</author></item><item><title>AI in loan collections: what actually works, what doesn&apos;t, and where compliance draws the line</title><link>https://lendwithai.com/blog/ai-in-loan-collections-what-works-what-doesnt/</link><guid isPermaLink="true">https://lendwithai.com/blog/ai-in-loan-collections-what-works-what-doesnt/</guid><description>A builder&apos;s view of where LLMs earn their seat in collections workflows — draft generation, segmentation, hardship conversations — and where they&apos;re a compliance liability.</description><pubDate>Wed, 29 Apr 2026 00:00:00 GMT</pubDate><category>collections</category><category>loan-recovery</category><category>compliance</category><category>llm</category><category>ai-lending</category><category>fair-practices</category><author>hello@lendwithai.com (LendWithAI)</author></item><item><title>Bank statement tampering detection with LLMs: the forensic prompt chain that catches surgical edits</title><link>https://lendwithai.com/blog/bank-statement-tampering-detection-with-llms/</link><guid isPermaLink="true">https://lendwithai.com/blog/bank-statement-tampering-detection-with-llms/</guid><description>A four-check LLM forensic chain — arithmetic, cadence, vendor fingerprint, PDF metadata — that catches roughly four out of five surgical bank-statement edits before disbursal, with honest false-positive numbers.</description><pubDate>Tue, 28 Apr 2026 00:00:00 GMT</pubDate><category>fraud-detection</category><category>bank-statement</category><category>document-forensics</category><category>llm</category><category>kyc</category><category>tampering</category><author>hello@lendwithai.com (LendWithAI)</author></item><item><title>Portfolio allocation for retail P2P lenders: the weekly LLM review that catches concentration drift</title><link>https://lendwithai.com/blog/portfolio-allocation-retail-p2p-lenders-llm-weekly-review/</link><guid isPermaLink="true">https://lendwithai.com/blog/portfolio-allocation-retail-p2p-lenders-llm-weekly-review/</guid><description>A 15-minute weekly LLM review prompt that scores a retail P2P portfolio across five concentration axes and produces a watch-list of the loans most likely to default next quarter.</description><pubDate>Tue, 28 Apr 2026 00:00:00 GMT</pubDate><category>p2p</category><category>portfolio-allocation</category><category>concentration-risk</category><category>retail-lender</category><category>llm</category><category>diversification</category><author>hello@lendwithai.com (LendWithAI)</author></item><item><title>Underwriting thin-file borrowers with LLMs: the diligence prompt chain that turns alternative signal into a credit decision</title><link>https://lendwithai.com/blog/underwriting-thin-file-borrowers-with-llms/</link><guid isPermaLink="true">https://lendwithai.com/blog/underwriting-thin-file-borrowers-with-llms/</guid><description>A four-step LLM diligence chain that converts gig earnings, rent ledgers, and telco data into the same scorecard columns a thick-file applicant fills out — for borrowers in any market.</description><pubDate>Tue, 28 Apr 2026 00:00:00 GMT</pubDate><category>underwriting</category><category>thin-file</category><category>alternative-data</category><category>gig-economy</category><category>llm</category><category>credit-assessment</category><author>hello@lendwithai.com (LendWithAI)</author></item><item><title>10 red flags AI catches in loan applications (that humans miss under time pressure)</title><link>https://lendwithai.com/blog/10-red-flags-ai-catches-in-loan-applications/</link><guid isPermaLink="true">https://lendwithai.com/blog/10-red-flags-ai-catches-in-loan-applications/</guid><description>Ten specific red-flag patterns that LLMs reliably surface from pasted application text — with the signal, the prompt logic that catches it, and the false-positive rate you should expect.</description><pubDate>Sat, 25 Apr 2026 00:00:00 GMT</pubDate><category>red-flags</category><category>fraud-detection</category><category>underwriting</category><category>document-consistency</category><category>llm</category><author>hello@lendwithai.com (LendWithAI)</author></item><item><title>AI tools for collections: a teardown of what actually works</title><link>https://lendwithai.com/blog/ai-tools-for-collections-a-teardown/</link><guid isPermaLink="true">https://lendwithai.com/blog/ai-tools-for-collections-a-teardown/</guid><description>An opinionated review of AI-driven collections tools and workflows for small-to-mid lenders — what genuinely helps, what&apos;s vendor theatre, and where DIY prompts beat the SaaS.</description><pubDate>Sat, 25 Apr 2026 00:00:00 GMT</pubDate><category>collections</category><category>ai-tools</category><category>teardown</category><category>lending-ops</category><category>delinquency</category><author>hello@lendwithai.com (LendWithAI)</author></item><item><title>Credit memo generation with LLMs: the prompt chain that survives a committee</title><link>https://lendwithai.com/blog/credit-memo-generation-with-llms/</link><guid isPermaLink="true">https://lendwithai.com/blog/credit-memo-generation-with-llms/</guid><description>A structured prompt chain that produces first-draft credit memos your credit committee will actually accept — with risk grade, conditions, deviations, and explicit gaps flagged.</description><pubDate>Sat, 25 Apr 2026 00:00:00 GMT</pubDate><category>credit-memo</category><category>llm</category><category>underwriting</category><category>prompts</category><category>committee</category><author>hello@lendwithai.com (LendWithAI)</author></item><item><title>P2P lending with AI: what actually works (and what&apos;s marketing)</title><link>https://lendwithai.com/blog/p2p-lending-with-ai-what-actually-works/</link><guid isPermaLink="true">https://lendwithai.com/blog/p2p-lending-with-ai-what-actually-works/</guid><description>What AI genuinely helps with when you&apos;re lending as an individual or running a P2P platform — borrower screening, portfolio allocation, collections — and the patterns that remain stubbornly human.</description><pubDate>Sat, 25 Apr 2026 00:00:00 GMT</pubDate><category>p2p</category><category>peer-to-peer</category><category>retail-lender</category><category>ai-underwriting</category><category>portfolio-allocation</category><author>hello@lendwithai.com (LendWithAI)</author></item><item><title>AI fraud detection for lenders: patterns, prompts, and the playbook</title><link>https://lendwithai.com/blog/ai-fraud-detection-for-lenders-patterns-prompts-playbook/</link><guid isPermaLink="true">https://lendwithai.com/blog/ai-fraud-detection-for-lenders-patterns-prompts-playbook/</guid><description>The four fraud patterns every small lender eventually meets — synthetic identity, document manipulation, ring fraud, and payout-stage scams — and where AI actually catches them vs. where it still misses.</description><pubDate>Fri, 24 Apr 2026 00:00:00 GMT</pubDate><category>fraud-detection</category><category>synthetic-identity</category><category>document-fraud</category><category>ring-fraud</category><category>llm</category><category>kyc</category><author>hello@lendwithai.com (LendWithAI)</author></item><item><title>How to underwrite loans with AI: a builder&apos;s guide (2026)</title><link>https://lendwithai.com/blog/how-to-underwrite-loans-with-ai-a-builders-guide/</link><guid isPermaLink="true">https://lendwithai.com/blog/how-to-underwrite-loans-with-ai-a-builders-guide/</guid><description>The full workflow for AI-assisted loan underwriting — from application intake to credit memo, with the prompts, scorecard logic, and failure modes that matter.</description><pubDate>Fri, 24 Apr 2026 00:00:00 GMT</pubDate><category>underwriting</category><category>llm</category><category>credit-risk</category><category>prompts</category><category>workflow</category><author>hello@lendwithai.com (LendWithAI)</author></item></channel></rss>