Automating Donor Reporting for GoodWorks Foundation Client: Mid-Sized Environmental Nonprofit

The Problem

GoodWorks Foundation spent nearly 15 hours per week manually compiling donor data from multiple sources (CRM, payment processors, spreadsheets) to create weekly and monthly reports for their board. The process was slow, prone to error, and a major drain on their small administrative team.

The Solution

Veloxium AI built an automated reporting workflow. Using a combination of API integrations and a Python script hosted on a secure cloud server, the system automatically pulls data every evening, cleans and consolidates it, and generates a pre-formatted PDF report that is emailed to stakeholders every Monday morning.

Technology Stack

  • Python for data aggregation & processing
  • Pandas library for data manipulation
  • Connections to Salesforce and Stripe APIs
  • AWS Lambda for serverless execution

Outcome Analysis

The solution completely eliminated the need for manual report compilation, delivering accurate, consistent reports on schedule. This freed up key personnel to focus on donor engagement and strategic planning, directly supporting their fundraising goals.

Key Outcomes

95%

Reduction in Manual Workload for Reporting

100%

Improvement in Report Timeliness & Accuracy

~60

Hours Saved per Month

Intelligent Lead Prioritization for Artisan Coffee Roasters Co. Client: E-commerce SMB

The Problem

Artisan Coffee Roasters received hundreds of wholesale inquiries per month through their website. Their two-person sales team struggled to identify the highest-potential leads, spending too much time on inquiries that were not a good fit, while promising prospects went cold.

The Solution

We developed an AI agent that analyzes each new inquiry in real-time. It uses a Large Language Model (LLM) to understand the text of the inquiry, checks external data points like the inquirer's company size, and scores the lead based on predefined criteria (e.g., order volume, business type). High-scoring leads are instantly flagged in Slack for the sales team with a summary and suggested next steps.

Technology Stack

  • GPT-4 API for natural language understanding
  • Zapier for workflow orchestration
  • Integration with Shopify and Slack
  • Custom scoring logic in a Google Cloud Function

Outcome Analysis

The sales team can now focus their energy exclusively on pre-qualified, high-value leads. Response times for top prospects have decreased dramatically, leading to higher engagement and a significant uptick in conversion rates.

Key Outcomes

40%

Increase in Lead-to-Conversion Rate

75%

Reduction in time spent on unqualified leads

8 hrs

Average reduction in response time for top leads