0 → 1: Designing an AI-powered loan application experience

INDUSTRY

Fintech

ROLE

Product Designer

DATE

2025—2026

KEY SKILLS USED

AI Interaction Design
Systems Thinking
End-to-End UX
Workflow Simplification

ZorroFi is an AI-powered loan application experience designed to help small businesses navigate borrowing while giving lenders more complete, reliable applications.

The Problem

Small-business loan applications are complex for both sides of the process. Borrowers face unclear requirements and extensive documentation, while missing or incomplete information creates additional work for lenders and can slow the path to underwriting.

The Solution

I designed an AI-powered loan application workflow that guides borrowers through each stage of the process, answers questions in context, and collects the information and documentation lenders need.

The experience had to balance two competing needs:

  • Borrowers needed clarity, guidance, and confidence about what to do next.

  • Lenders needed complete, reliable application data before underwriting.

I designed the experience to bridge those needs without adding more complexity for the borrower.

The Design

  • AI-guided onboarding and loan submission

  • Contextual guidance through required documentation

  • Real-time feedback for missing, blurry, or invalid files

  • Clear progress tracking throughout the application

  • A borrower experience designed around lender data requirements

Outcomes

UC Berkeley SkyDeck

ZorroFi accepted into the accelerator with a 0.4% acceptance rate.

Bank Partnerships

Product prototype helped secure contracts with multiple banks.

Real-World Use

Evolved from early concept into a platform used in real lending environments,

Final Design - Prototype

01

Problem

THE CORE TENSION:

There are two sides to the loan application, and they have different needs.

Borrower problems:
  • Unclear requirements and documents

  • Long, complex application process

  • Uncertainty about what to do next

Lender problems:
  • Incomplete or incorrect applications

  • Missing or blurry documents

  • Time spent chasing borrowers for information

Borrowers need: clarity, guidance, and confidence

Lenders need: complete, reliable information

THE DESIGN OPPORTUNITY:

Create an experience that makes the process easier for borrowers without sacrificing the quality of information lenders need.

02

Process

  1. Understand the two sides.

I mapped out the borrower's experience applying for a loan and the lender's experience in processing a loan.

  1. Identify opportunities to improve the handoff.

I focused on the gaps between what borrowers are asked to provide and what lenders need to successfully review an application.

  1. Design and iterate.

I explored an AI-powered workflow that guides borrowers through the application, collects documents, and validates information along the way—while fitting into existing banking systems.

ONE DESIGN DECISION

Designing the Progress Bar

Borrowers are moving through two processes at once: the overall loan application and the individual steps within each stage.

We needed to make both visible without making the experience feel complicated.

I explored several approaches with the founders and landed on a double-layered progress bar.

The top level shows the three major stages:

You submit → We review → You finalize

The second level shows where the borrower is within their current stage—for example, their progress through You submit.

This gives borrowers both the big picture and their progress within the current step.

  • Where am I in the overall process?

  • How far am I through the step I'm currently completing?

03

Solution

A structured, AI-guided loan application

Designed to reduce friction for borrowers while increasing signal quality for lenders.

I designed an AI-guided experience that helps small-business owners complete their loan applications while giving lenders more complete, reliable information.

Instead of navigating a long, form-heavy application on their own, borrowers are guided step-by-step through the process. The experience helps them understand what information and documents they need, validates submissions along the way, and keeps them oriented with clear progress.


The experience brings together:

  • AI-guided application — "Zia" guides borrowers through each step and answers questions in context.

  • Structured document collection — Documents are requested in stages, making a complex process easier to navigate.

  • Real-time validation — Borrowers receive feedback when documents are missing, incomplete, or don't meet requirements.

  • Progress tracking — Borrowers can see both their progress within the current step and their progress through the overall loan process.

  • Flexible, white-label experience — Banks can adapt the interface to their brand while maintaining the underlying workflow.

04

Outcomes

Product & Design Outcomes

The onboarding experience transformed a complex loan application process into a guided, structured workflow that:

  • Reduced ambiguity through real-time guidance and validation

  • Increased visibility across multi-step application journeys

  • Improved the quality and completeness of submitted applications

  • Established a scalable foundation for deployment across multiple financial institutions

Business Traction & Validation

The product gained meaningful early traction and external validation:

  • Accepted into UC Berkeley SkyDeck, a highly competitive accelerator with a ~1% acceptance rate

  • Accepted into Berkeley's PAD-13 startup accelerator

  • Secured contracts and agreements with multiple banking partners

  • Progressed from early concept to adoption within real lending environments

05

Reflection

Complexity behind the curtain

Working on ZorroFi reinforced a challenge that exists in many products: business systems often require significant complexity behind the scenes, while users expect simplicity on the front end.

Designing this experience required balancing the needs of borrowers, lenders, compliance requirements, and fraud detection systems, all without increasing friction for applicants. It strengthened my belief that great UX often comes from hiding complexity, not removing it, and using technology and AI to do the heavy lifting whenever possible.

The designer as a translator

Working on ZorroFi also deepened my experience designing for complex workflows and regulated environments. I learned how thoughtful onboarding can reduce confusion, build trust, and improve completion rates, while also supporting critical business goals. Most importantly, it reinforced my role as a designer: serving as both a user advocate and a translator between stakeholder needs and user needs to create solutions that work for everyone involved.