AI-Driven CSR Outreach Automation System

AI-Powered CSR Proposal Generation & Email
Automation System
1. Executive Summary
Your organization possesses a CSR donor database (2014–2024) containing CSR donor
companies, CSR budgets, focus sectors, past donation amounts, contact emails, and historical
engagement records. This data is extremely valuable but currently underutilized due to the
manual effort required to create proposals and communicate with donors.
This project aims to build a fully automated AI system that leverages the ChatGPT API to
generate customized CSR proposals and send them automatically to donor companies via
email. The system will integrate your existing donor data, analyze patterns, generate
personalized messaging, and manage communication at a large scale.
The result will be a complete CSR outreach automation platform designed to increase
funding opportunities while reducing manual workload.
2. Project Goals
The primary goals of this system are:
2.1 Automation
 Automatically generate CSR funding proposals using AI.
 Automatically send proposals to CSR donor companies.
2.2 Personalization
 Tailor each proposal based on:
o CSR focus sector
o Company giving history
o CSR priority themes
o Funding amount patterns
o Past engagement with your organization
2.3 Efficiency
 Remove manual proposal writing.
 Eliminate repetitive donor email drafting.
 Scale communication to thousands of CSR companies.
2.4 Enhanced Fundraising
 Increase CSR donor engagement.
 Improve response rates with personalized messaging.
 Unlock hidden opportunities in historical donor lists.
3. Problem Statement
Nonprofits face several challenges in fundraising:
 Manual proposal writing consumes time and delays outreach.
 CSR companies expect customized, high-quality proposals aligned with their
mandates.
 Large donor datasets (like your 2014–2024 CSR database) cannot be manually
processed at scale.
 Sending personalized emails to hundreds or thousands of CSR companies is nearly
impossible manually.
 Past CSR donors often lapse due to lack of timely communication.
This system solves all of these with automation.
4. System Overview
The system will combine:
4.1 AI Proposal Generation
Using OpenAI ChatGPT API:
 CSR proposals
 Concept notes
 Project outlines
 Impact reports
 Customized funding request emails
4.2 Automated Email Delivery
Using SendGrid / Amazon SES / Mailgun:
 Bulk email sending
 Delivery & bounce tracking
 AI-generated subject lines
 Email logs & history
4.3 Existing CSR Donor Database Integration
(Your data from 2014–2024)
 Company name
 CSR focus area
 CSR budget
 Past funding
 Email contacts
This data will drive personalization and segmentation.
5. Detailed Project Scope
5.1 Data Integration Layer
The system will import your existing CSR data:
 CSV / Excel
 SQL database dump
 Multiple files (yearly segmented data)
Data fields to be mapped:
 Company Name
 Contact Person
 Email Address
 CSR Budget / Annual CSR Spend
 CSR Focus Sectors
 Location
 Previous donation to your organization
 Donation year
 Amount funded
 Type of project funded
Data Cleaning Features:
 Duplicate removal
 Invalid email detection
 Standardization
 Automated segmentation (in next module)
5.2 CSR Donor Segmentation Engine
The system will automatically categorize CSR donors into segments:
Segment A: High-Value Repeat Donors
Companies who funded 2+ times between 2014–2024.
Segment B: High-Potential Donors
Companies with:
 Large CSR budgets
 Previously funded similar projects
Segment C: Sector-Matched Donors
Companies whose CSR mandate aligns with your projects.
Segment D: New Prospects
Companies with CSR budgets but no interaction yet.
Each segment receives differently structured AI proposals.
5.3 AI Proposal Generation Module
Powered by OpenAI ChatGPT API
AI will generate:
 CSR Funding Proposal
 Project Concept Note
 Detailed Technical Proposal
 Project Introduction
 Budget Summary
 Expected Impact
 Alignment with CSR Act 2013
 Sustainability Plan
 Organization Overview
 Call-to-Action for Funding
Proposal Personalization Factors:
Personalization Element
CSR sector match
Source
CSR budget size
Company CSR policy
Historical CSR data
Company region
Past donation amount
CSR compliance area
Your 2014–2024 data
Project relevance
SDG alignment
Your project descriptions
AI mapping
Proposal Outputs:
 Email-ready text
 Downloadable PDF (optional)
 Stored in database for future reference
5.4 Email Automation System
Features:
 Bulk email sending
 Throttling to prevent spam flags
 AI-generated subject lines
 Custom email body for each company
 Attach proposal in-text or as a PDF
 Delivery, open, and bounce tracking
Supported Email Providers:
 SendGrid (recommended)
 Amazon SES
 Mailgun
 SMTP (fallback)
Email Logging Includes:
 Company name
 Email ID
 Proposal version
 Time sent
 Delivery status
 Opened or not
5.5 Admin Dashboard
Dashboard Features:
 Upload CSR data
 View donor list
 Preview AI proposals
 Review & edit before sending
 Send batch emails
 Track email delivery
 Read proposal history
 Download reports
6. System Architecture (Deep Detail)
6.1 Backend
 Python (FastAPI) or Node.js (NestJS)
 ChatGPT API integration
 Email service APIs
 Proposal generation logic
 Bulk email queue handling
6.2 Frontend
 React front-end dashboard
 Donor list management
 Template selection & preview
 Logs view
6.3 Database
 PostgreSQL / MySQL
 Tables:
o CSR_Donors
o CSR_Emails
o Proposals
o Logs
o Templates
o API Usage
6.4 Infrastructure
 Hosted on AWS EC2 / DigitalOcean
 Docker container support
 Daily backups
 Scalable architecture
7. Security Measures
Data Security:
 AES-256 encrypted storage
 HTTPS everywhere
 No unnecessary personal data shared with ChatGPT
 Role-based access control
Email Security:
 SPF, DKIM, DMARC configuration
 Throttle controls
 Anti-spam safeguards
8. Development Timeline (Detailed)
Week
Task
Week 1
Week 2
Requirement finalization, system architecture, database schema
Backend setup, CSR data import module
Week 3–4
ChatGPT integration + prompt engineering
Proposal generation engine
Week 5
Week 6–7
Email automation + API setup
Donor segmentation engine
Week 8
Week 9–10
Dashboard development
Testing & QA (emails + proposals)
Week 11
Week 12
Deployment, documentation
Total: 10–12 weeks
9. Deliverables
Technical Deliverables
 Backend API
 Frontend Dashboard
 AI Proposal Generator
 Email Automation Engine
 CSR Donor Segmentation
 Database setup
 Admin control panel
 Logs & Reporting System
 Complete documentation
Documentation Deliverables
 API documentation
 Deployment guide
 User manual
 Admin manual
10. Expected Outcomes
10.1 Organizational Benefits
 80–90% reduction in CSR proposal writing workload
 Personalized proposals sent at scale
 Better communication with past donors
 Increased conversion rates
 Better utilization of your 10-year CSR dataset
10.2 Technical Advantages
 Scalable outreach
 Reliable email delivery
 Automated proposal writing
 Centralized data management
 Consistent proposal quality