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In this video, I walk you through Report Projects inside ReportsAI — the structured way to manage reporting workflows from start to finish. While you can generate reports instantly if you already have your data ready, real-world reporting usually starts much earlier. Data collection, task allocation, partner coordination, and quality checks often happen over weeks or months. That’s exactly why we built Report Projects. In this demo, you’ll see how to: • Create a quarterly, monthly, or annual report project • Set due dates and make reports periodic (so they auto-repeat) • Assign tasks to internal team members • Assign tasks to external partners (even if they don’t have a paid subscription) • Upload notes, files, voice notes, and spreadsheets over time • Use AI-powered data checks to assess completeness and relevance • Track progress across tasks and deadlines • Generate a final donor-ready report using all uploaded data Every time data is uploaded, ReportsAI automatically evaluates it against the task description — reducing back-and-forth emails and improving data quality before report generation. Once all notes are added, you can generate your report using the accumulated project data and export it as: • A Word document • A presentation deck • Audio summaries • Social media posts • Executive summaries • And more Report Projects help organisations move from scattered email workflows to structured, AI-supported reporting — ensuring better data quality, clearer accountability, and fewer missed deadlines. If you’re working in the impact sector and want a more strategic, responsible way to manage donor reporting, this is how it works. 🔗 Learn more at: https://reports-ai.app #ImpactReporting #AIforGood #ResponsibleAI #NGOs #DonorReporting #SaaSTools