We started FinCollab after learning how small nonprofits struggle to manage funds efficiently. Directors often juggle multiple grants, receipts, and spreadsheets across different systems, which leads to miscommunication, manual errors, and delayed impact. The idea was to create a shared financial workspace where transparency, compliance, and collaboration come together.

FinCollab provides nonprofits and donors with a centralized dashboard to track budgets, co-sign approvals, and monitor utilization. It transforms disconnected spreadsheets into a unified view where every dollar’s journey is visible—from funding received to impact delivered. The built-in AI assistant helps summarize financial data, offering insights into how funds are being used and where they can make the most difference.

We built FinCollab using React, Vite, TailwindCSS, and Node.js for a clean, responsive interface. For AI capabilities, we integrated Cloudflare Workers AI using the Mistral-7B model to process and summarize funding data. This setup allowed us to run AI inference securely and efficiently on the edge without needing a separate backend server.

Integrating AI inference with Cloudflare Workers was initially challenging, especially around authentication and API deployment. Designing a collaborative approval workflow that remained intuitive also required careful iteration. Managing real-time data visualization and report generation was another major technical hurdle.

We’re proud of building a complete and functional prototype that blends transparency with technology. The AI insights, dynamic reporting, and donor-member dual view made FinCollab stand out as a practical and scalable solution for nonprofits.

We learned how to combine data visualization, AI inference, and secure cloud architecture into a cohesive application. We also realized how important user-centered design is when creating tools for non-technical users.

Next, we plan to add multi-currency and cross-border support for global NGOs, integrate with existing grant management platforms, and introduce predictive analytics for donor engagement and impact forecasting.

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