{"slug": "oculi-a-conversational-agentic-platform-for-automated-credit-risk-analysis", "title": "Oculi: A Conversational Agentic Platform for Automated Credit Risk Analysis", "summary": "Researchers introduced Oculi, a conversational agentic platform that automates credit risk analysis by converting natural language questions into SQL queries, statistical tests, and visualizations, reducing time-to-insight while maintaining auditability. Evaluated on a mortgage portfolio with 200+ features, Oculi's three-layer architecture (LLM-powered reasoning, Model Context Protocol tool servers, and agentic UI) enabled discovery of material risk segments previously intractable through manual exploration.", "body_md": "arXiv:2608.28944v1 Announce Type: new\nAbstract: Credit risk analysis in financial institutions traditionally requires analysts to manually write SQL queries, run statistical computations, and build visualization dashboards. This is a time-consuming workflow that limits exploration to familiar segments. We introduce \\textbf{Oculi}, a conversational platform that transforms natural language questions into comprehensive credit risk analyses, complete with data queries, statistical testing, and interactive visualizations. Oculi employs a three-layer architecture that separates reasoning (LLM-powered agent), execution (Model Context Protocol tool servers), and presentation (agentic UI), enabling analysts to discover high-risk portfolio segments. Within Oculi, a new segment discovery pipeline is proposed that combines deterministic statistical methods with LLM-guided feature selection, leveraging LLM semantic domain knowledge alongside data-driven metrics to identify meaningful, actionable portfolio segments. Evaluated on a mortgage portfolio with 200+ features, Oculi demonstrates effectiveness in discovering material risk segments previously intractable through manual exploration, reducing time-to-insight significantly while maintaining auditability and statistical rigor.", "url": "https://wpnews.pro/news/oculi-a-conversational-agentic-platform-for-automated-credit-risk-analysis", "canonical_source": "https://www.machinebrief.com/news/oculi-a-conversational-agentic-platform-for-automated-credit-am0m", "published_at": "2026-09-01 04:00:00+00:00", "updated_at": "2026-09-01 05:53:04.107035+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-agents", "ai-tools"], "entities": ["Oculi", "Model Context Protocol"], "alternates": {"html": "https://wpnews.pro/news/oculi-a-conversational-agentic-platform-for-automated-credit-risk-analysis", "markdown": "https://wpnews.pro/news/oculi-a-conversational-agentic-platform-for-automated-credit-risk-analysis.md", "text": "https://wpnews.pro/news/oculi-a-conversational-agentic-platform-for-automated-credit-risk-analysis.txt", "jsonld": "https://wpnews.pro/news/oculi-a-conversational-agentic-platform-for-automated-credit-risk-analysis.jsonld"}}