Voyance Vision

Businesses generate and process thousands of documents daily, from invoices and contracts to compliance forms. Managing these documents manually is time-consuming, prone to human error, and costly. Traditional document management systems (DMS) often struggle with low-quality images, poor scanning, and inefficient search capabilities.

The fintech sector in Nigeria, in particular, faces stringent Know Your Customer (KYC) regulations, requiring businesses to verify customer identities rapidly and accurately. The existing manual processes were slow, expensive, and error-prone, highlighting the urgent need for an intelligent, automated solution.

Voyance Vision is a next-generation Document Management System that leverages computer vision, machine learning, and artificial intelligence to extract, store, manage, and retrieve documents seamlessly. Designed for businesses dealing with high document volumes, Vision automates data extraction, reducing processing time and human intervention.

Trainable AI Models allow businesses to train custom models or use pre-trained models developed by Voyance's data engineers. Seamless Upload & Export enables documents to be uploaded from local or cloud storage, with extracted data downloadable in multiple formats. Advanced Annotation Tools let users label and annotate documents to improve data accuracy.

Workflow Integration reduces human effort through automation by instructing the system to extract data during predefined events.

As the lead designer, I defined the overall design direction, developed prototypes, and crafted research documents to guide the project. I created a design strategy document that outlined our vision and principles, ensuring alignment across teams.

Beyond design, I worked closely with Project Managers to align the design with business objectives, Data Scientists & Engineers to accommodate technical requirements, Frontend & Backend Developers to ensure accurate implementation, and the CEO—a software and machine learning engineer—to gain deeper technical insights and refine the user experience.

To create a solution tailored to real-world business challenges, we conducted research with fintech businesses. Our findings highlighted critical pain points:

Manual document processing was slow and error-prone, highlighting the need for Speed & Accuracy. Businesses wanted to minimize manual intervention for Automation & Cost Reduction. KYC and other regulatory processes needed to be streamlined for Security & Compliance.

These insights guided our two-phase development approach: improving speed and accuracy by refining AI-driven data extraction, and enhancing automation by building workflows that reduce manual effort.

We adopted rapid prototyping to test concepts and iterate quickly based on feedback, ensuring a user-friendly, high-quality solution.

During prototype testing, we collaborated with external data scientists, engineers, and machine learning experts. Their feedback led to two major enhancements:

Initially, we assumed all documents would be in image format, but user testing revealed a significant need for PDF Upload Support. Businesses also wanted to integrate our AI models into their systems, prompting us to develop API Integration.

By iterating based on real user feedback, we ensured Voyance Vision met industry needs effectively.

The launch was a resounding success. The implementation of Voyance Vision resulted in:

The impact was substantial: an 80% reduction in manual intervention, a 70% decrease in human resource dependency, and 90% faster document processing.

Businesses benefited from instant approvals and seamless activations, significantly improving customer experience and operational efficiency.

While Vision started as a document management solution, its AI capabilities open doors to broader applications:

The platform's potential extends to Fraud Detection by identifying fraudulent documents and suspicious patterns, Healthcare applications for streamlining patient record management and medical form processing, Legal & Compliance automation for contract analysis and regulatory document processing, and Insurance solutions for accelerating claims processing and policy document management.

Building an AI-driven DMS was not without challenges:

With AI's vast capabilities, we had to focus on Defining the Core Solution that businesses needed most. As a designer without a background in OCR, machine learning, or AI, I had to rapidly upskill to create intuitive interfaces, highlighting the challenge of Bridging Knowledge Gaps. Regular documentation and sync sessions helped keep product, design, and engineering teams on the same page, ensuring Cross-Team Alignment.

Voyance Vision was a challenging but rewarding project. By blending AI, user-centric design, and automation, we delivered a system that transformed how businesses handle documents. The experience reinforced the importance of user research, iterative design, and technical collaboration in building impactful products.