Digilend

Inspiration

For decades, loan agreements have barely changed.

We moved from paper to PDFs, and from PDFs to digital signatures—but the contract itself remained static, opaque, and non-executable. Humans struggle to understand them, and machines can’t reason about them reliably.

In a world where AI agents manage finances, reminders, compliance, and workflows, contracts should not just be signed—they should be understood, reasoned over, and executed.

Digilend was built around a simple idea:

What if loan agreements were programmable objects that both humans and AI agents could understand and act on?

What it does

Digilend is a platform for creating, sharing, and executing smart digital loan agreements.

Unlike traditional contracts that are just text, Digilend contracts are structured, data-driven, and programmable.

With Digilend, users can:

• Create loan agreements by filling structured fields like:

  • Lender and borrower details
  • Interest rate, tenure, repayment schedule
  • Late payment penalties and conditions
    

• Share contracts with others to review, accept, and digitally sign

• Understand contracts instantly using an AI Agent that:

  • Explains terms in plain language
  • Answers questions like “What happens if I miss a payment?”
  • Works faster and more accurately because the contract has a structured data model, not just text
    

• Attach executable logic to agreements, such as:

  • Automatically sending reminder or penalty emails
  • Triggering actions when payments are missed
  • Enforcing predefined rules without manual follow-ups

The result: loan agreements that don’t just sit in inboxes—they actively run.

How we built it

• Frontend: React, TypeScript, Vite
• Backend: Node.js with PostgreSQL
• Contract Engine: Structured, machine-readable contract templates that separate data, logic, and presentation powered by open source Accord Project
• AI Layer: An AI agent that reads the contract’s structured fields and works with the data model instead of guessing from raw text

By making contracts machine-readable by design, Digilend enables both humans and AI agents to reason about agreements reliably.

Challenges we ran into

• Making AI explanations trustworthy and deterministic
• Turning legal concepts into user-friendly inputs without oversimplifying
• Building automation that feels transparent rather than “black box”

Accomplishments that we're proud of

• Moving beyond “PDF + e-sign” to fully programmable digital contracts
• Creating an AI contract understanding experience that actually knows the rules
• Enabling real-world automation directly tied to loan terms
• Making complex financial agreements approachable for non-lawyers

What we learned

• AI performs dramatically better when contracts are structured and have a data model + logic, not simply free-form text
• Contracts are more useful when they behave like software, not documents
• The future of agreements involves humans and AI agents working together

What's next for Digilend

• Support for additional financial and commercial agreements
• Agent-to-agent contract negotiation and monitoring
• Deeper automation (payments, accounting, compliance triggers)
• Standardized smart contract templates for everyday lending
• APIs for fintechs, banks, and AI agent platforms

Digilend’s goal is to become the default way humans and AI agents create, understand, and execute loan agreements—without relying on just static documents.

Built With

• accord-project
• node.js
• postgresql
• react
• typescript
• vite