LendAI is an intelligent multi-agent loan processing platform built for the AI Multi-Agent Hackathon. It demonstrates how multiple specialized AI agents can collaborate seamlessly to handle complex, real-world financial workflows without human intervention. The system uses three independent agents, each with a single responsibility, working in sequence: **Agent 1 — Docs Collection Agent** Greets applicants warmly and collects all required documents conversationally. Instead of uploading files or filling forms, users simply chat — providing their CNIC, monthly income, employer details, and credit history one step at a time. The agent validates each piece of information before handing off to the next stage. **Agent 2 — Risk Management Agent** Acts as the analytical backbone. It parses submitted documents and computes a comprehensive risk profile using three key financial indicators: Debt-to-Income (DTI) ratio, employment stability score, and existing loan burden. **Agent 3 — Loan Decision Agent** Makes the final credit decision and generates a personalized loan offer based on the risk profile. For LOW RISK applicants, it approves loans up to 10× monthly income at 12% interest. For MEDIUM RISK, it offers conditional approval (6× income at 18%). For HIGH RISK, it provides a transparent decline with actionable next steps. Every approved offer includes three repayment tenure options with exact EMI calculations. **Why This Matters** LendAI showcases how AI agents can handle high-stakes financial decisions with transparency, speed, and accuracy. Users get instant decisions and clear reasoning about their credit profile. Built on **band.ai** for agent orchestration and **Featherless AI** for model inference, LendAI proves that complex multi-agent workflows are not only possible but practical for real business applications.
Category tags:"Application of technology: Three-agent loan processing pipeline (Docs Collection/conversational intake + validation, Risk Management/DTI ratio + employment stability + loan burden scoring, Loan Decision/credit decision with exact EMI calculations for 3 tenure options). Band Agentic Mesh + Control Plane + AgentOps on Featherless AI. Presentation: Very clear risk tier system (LOW: 10× income at 12%, MEDIUM: 6× income conditional at 18%, HIGH: transparent decline with actionable next steps). EMI calculations for three tenure options are specific and immediately useful outputs. Conversational document collection instead of form uploads is a good UX choice. Business value: Loan processing automation with transparent credit risk assessment and instant decisions is commercially valuable, particularly for emerging markets where traditional credit infrastructure is limited. Transparent decline with actionable improvement steps creates a positive user experience. Originality: The specific credit decision rules (loan-to-income multiples and interest rates by risk tier) give the system concrete financial logic rather than generic recommendations. Three repayment tenure options with exact EMI calculations is a practical output that consumers and lenders can immediately act on."
Sanem Avcil