DocuEye

AI-Powered Document Verification

DocuEye is an AI OCR-powered document verification platform designed to help businesses reduce operational costs and increase efficiency. Transforming manual document checking into a fast, accurate, and fully automated process.

[interface] screenshot of core features (for an ai developer tools)
Project type

Concept Pitch

Tools

Figma · Google Slides

Timeline

1 months (May'24-May'24)

Role

UX/UI Designer, Slide Designer

Team

1 UX, 1 PO, 1 QA, 2 BPs and 8 Devs

Company

AXONS (CPF IT)

What I Learned ?

From Real Problems to Real Solutions. Working closely with the accounting team across multiple products revealed how manual document verification created bottlenecks leading to the concept of AI OCR technology that improved accuracy, reduced processing time, and cut verification costs by over 70%.

Pain Points Drive Innovation

Observing real workflow limitations within the accounting team gave us the clarity to identify a problem worth solving — manual document checking that was slow, error-prone, and costly.

Technology as a Bridge

Introducing AI OCR as a concept showed how the right technology can bridge the gap between human limitations and business efficiency — detecting data from documents with speed and precision.

Impact Beyond the Screen

Good design and product thinking goes beyond the interface — a well-defined concept can reduce operational costs by over 70%, proving that solving the right problem creates measurable real-world value.

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Pitch deck

Designing for the Pitch Stage

As part of the CPF Hack the Future 2024 competition, I designed a pitch deck that translated the team's collective ideas into a clear and structured visual presentation, organizing content into focused sections, applying a cohesive theme, and keeping each slide minimal to ensure the audience could absorb and follow the message with ease.

Reaching the Final Pitch Stage

After competing through three intensive selection rounds, our team secured a place among the final 14 advancing from a field of over 200 teams, narrowed down to 40, and ultimately to the last stage at True Digital Park. There, we presented our concept directly to a panel of senior executives and decision-makers, turning months of teamwork and ideation into a live, high-stakes pitch performance.

[interface] screenshot of core features (for an ai developer tools)
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Let’s build something impactful together!