Inspiration
Loan documentation in institutional lending is still heavily manual and fragmented. Reviewing long agreements, tracking amendments and monitoring covenant obligations is time-consuming and error-prone, yet mistakes can lead to serious financial and compliance risks. LoanDoc IQ was inspired by the need to make loan document management more efficient, transparent and proactive using practical AI not experimental technology.
What it does
LoanDoc IQ is an AI-powered loan document intelligence and compliance tracking platform for banks and loan agents.
It allows users to upload loan agreements and amendments, automatically extracts key clauses, detects and summarizes changes across documents and tracks covenant obligations over time. A centralized dashboard provides real-time compliance status, highlights upcoming deadlines and flags potential risks. The system also generates audit-ready summaries to support regulatory reviews and internal governance.
How I built it
LoanDoc IQ was built as a desktop-based web application using HTML, CSS, JavaScript, PHP SQL and MYSQL. AI is used to analyze unstructured loan documents, extract key clauses, compare amendments and generate plain-English risk and compliance summaries. The focus was on clean workflows, clear visual indicators and commercial usability rather than complex technical abstractions.
Challenges I ran into
One of the main challenges was designing AI outputs that are understandable and trustworthy for non-technical users. Loan documents are complex and highly contextual, so ensuring that extracted clauses and change summaries are clear and meaningful required careful prompt design and validation. Balancing simplicity with realistic enterprise requirements was also a key challenge.
Accomplishments that I'm proud of
I’m proud of building a solution that feels practical and commercially viable rather than experimental. The ability to clearly demonstrate AI-driven clause extraction, amendment comparison and compliance tracking using realistic loan documents was a major milestone. The project shows how AI can genuinely reduce manual effort and operational risk in lending.
What I learned
I learned how important it is to design AI systems that assist decision-making rather than replace it especially in regulated financial environments. Clear explanations, transparency and restraint are critical for trust. I also gained deeper insight into how small efficiency improvements can have a large impact in complex financial workflows.
What's next for LoanDoc IQ
Next steps include expanding document coverage across more loan types, improving risk scoring, and adding integrations with existing loan management systems. With further validation, LoanDoc IQ could evolve into a scalable B2B SaaS platform for institutional lenders seeking greater efficiency, transparency and risk control.
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