Squirll 개인 재무 관리 애플리케이션 by Maria Borysova

Squirll 개인 재무 관리 애플리케이션 by Maria Borysova is a highly esteemed winner of the very prestigious 2026 A' Design Award 철상 in 디지털 제품 디자인 Competition Category.

철디지털 제품· 2026

Squirll 개인 재무 관리 애플리케이션

by Maria Borysova

Client: Maria Borysova

A' Design Award 철상 Winner in 디지털 제품 Category

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The Design

About Squirll 개인 재무 관리 애플리케이션

Squirll은 모바일과 웹 환경을 위해 설계된 개인 재무 관리 애플리케이션입니다. Squirll을 통해 사용자는 지출을 관리하고, 목표를 설정하며, 재무 목표 달성 과정을 추적할 수 있습니다. 영수증은 카메라 촬영 또는 수동 입력으로 기록되며, 이미지 인식 기술이 인쇄된 영수증을 디지털 기록으로 변환하고 자동으로 분류합니다. 자연어 처리 기술은 일상적인 언어로 지출에 관한 질문에 답하고 소비 추세와 절약 기회를 짚어주는 챗봇을 지원합니다. 인터페이스는 미니멀한 다크 테마와 고대비 차트로 구성되었습니다.

The Recognition

About the A' Design Award 철상

Squirll 개인 재무 관리 애플리케이션, 이 작품은 A' Design Award 철상 수상작으로, 잘 디자인된 창작물에 기대되는 전문적·산업적 요건을 충족하는 좋은 디자인에 수여되는 권위 있는 인정입니다. 철상 수상작은 창작자의 뛰어난 기술, 높은 전문성, 전문가다운 이해, 창의적 역량을 보여 줍니다. Squirll 개인 재무 관리 애플리케이션, 이 작품은 높이 평가받고 감탄과 사랑을 받는 창작물로서 실용적이고 혁신적일 것으로 기대됩니다. 이 철상 수상 디자인은 업계 모범 사례를 통합하며 노하우와 재능으로 연결된 유능한 기술적 특성을 갖추고 있습니다. Squirll 개인 재무 관리 애플리케이션, 이 작품은 철저함으로 존중받으며 삶의 질을 개선하여 세상을 더 나은 곳으로 만들도록 디자인되었습니다.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: Application that allows users to track their spending, set smart goals, optimise their spending using AI powered chatbot. Users can surface the insights related to their spending patterns, smart saving opportunities and see how they progress towards their targets. Receipt tracking allows users to see spending on category and item levels, allowing granular analytics and personalised offerings.
Dimensions & Packaging: A mobile and web application were designed and developed for this project to cater to the needs of different user groups, ensuring accessibility, intuitive navigation, and seamless performance across platforms.
Tags: Product Design, Digital Design, Mobile Application, Web Application, Finance, AI
Production Technology: The app uses the leading AI technologies such as image recognition and natural language processing. Image recognition enables accurate receipt scanning and automatic categorization of expenses, reducing manual input and improving data accuracy. Natural language processing powers the interactive assistant, allowing users to ask questions about their spending, receive personalized insights, and set financial goals using everyday language.
Design Challenge: The challenge was to design an experience that empowers users to quickly analyze spending and make optimal financial decisions using AI. We addressed this by introducing smart summaries, clean visualizations, and a conversational chatbot that simplifies complex data.

This integrated AI assistant serves as both a guide and a dynamic reporting tool, monitoring spending to highlight unusual activity and savings opportunities in real time. By translating technical analysis into actionable, plain language insights, the chatbot reduces the mental burden of money management and supports more informed decision making.
Research: We conducted research to address the stress and confusion many adults face in everyday money management. Through interviews, market research, and usability tests, we uncovered key challenges like information overload, inconsistent saving habits, and emotional fatigue around finances. Insights revealed a strong need for intuitive, personalized tools that ease decision making and build confidence over time. These findings shaped Squirll’s conversational design, smart nudges, and emotionally aware feedback.
Inspiration: This design was inspired by premium applications that prioritize both elegance and functionality combining a sleek, minimal dark theme with intuitive navigation. Every detail, from the high-contrast charts to the contextual AI chatbot responses, is crafted to make financial management not just smarter, but genuinely enjoyable. The dark theme makes the interface feel sleek while helping key numbers and charts stand out.
Project Duration: The project was designed in London and went live in 2025.
Operation Flow: Users log their receipts using camera or manual entry, the system analyzes and transforms print receipts into digital. Using AI, the system provides insights about trends and spending patterns for the individual user, highlighting potential tax refunds, expiring warranties, and opportunities to optimize future purchases.
Team Members: Designer: Maria Borysova