Enhancing CSR Impact: Leveraging AI for Fair and Efficient Proposal Assessment

Each year, Corporate Social Responsibility (CSR) teams face a massive challenge: selecting from thousands of grant proposals. This manual process is not only time-consuming but also prone to inconsistent evaluations. As a result, critical assistance may be delayed in reaching the communities that need it most.

But what if this stack of digital proposals could be intelligently analyzed in just minutes? An innovative system has been developed to tackle this challenge, fundamentally transforming the CSR proposal evaluation process.

This is the main interface of the CSR Proposal Analyzer system. Through this dashboard, reviewers can instantly view comprehensive AI analysis results after a proposal is uploaded.

The dashboard presents all key information extracted and analyzed by the AI, from activity summaries and evaluation scores to critical notes that help reviewers make quick and accurate decisions. In addition to the detailed view, the system also offers a results page that functions like a leaderboard. This page displays a list of all processed proposals, making it easier for the team to track and manage all submissions.

The Core Problem: The Burden of Manual Processing

Before this system existed, CSR teams often faced common operational challenges:

High Volume of Proposals: A large number of incoming proposals with diverse activity details and budgets.
Time-Consuming Process: Manual reviews required a significant amount of the CSR team's time.
Inconsistent Evaluations: Potential inconsistencies in evaluation criteria across different reviewers.
Slow Response Time: Lengthy processes led to delayed responses to applicants.

How the System Works

To address these challenges, the system is designed with an architecture that automates the entire workflow, as illustrated in the diagram below.

The system operates through a simple yet powerful workflow:

Organizations submit proposals (in PDF format) via a web interface. The system automatically extracts all raw text from the documents.
The raw text is sent to an AI agent built using LangChain and powered by Google Gemini. This agent is instructed to analyze proposals based on the company’s values and key evaluation criteria.
The complete analysis results are securely stored in a Supabase database and presented in an interactive dashboard.

Systematically, the AI extracts activity summaries, identifies key information such as dates and locations, and analyzes budget details. Based on this data, the AI provides a numerical score and concludes with a decision recommendation (Approve/Reject), along with clear justification.

Tangible Results and Impact

The implementation of this system has delivered transformative business impact, particularly in efficiency and decision-making quality. Operationally, the time to manually review each proposal has been reduced by up to 90%, from 4 hours to just 24 minutes. Response time to applicants has also improved by 95%.

In terms of quality, the system achieves 92% accuracy in its decision recommendations and ensures that evaluation criteria are applied consistently across all proposals, significantly reducing human bias. Moreover, the collected data allows companies to analyze budget allocation patterns and identify spending trends for future program optimization.

Conclusion

The CSR Proposal Analyzer project is clear proof that adopting AI technology can deliver strategic value to a company’s operations. It’s not just about automation—it’s about building processes that are more efficient, accountable, and data-driven. By enabling teams to focus on strategic decision-making instead of administrative tasks, companies can ensure that their funding support is allocated optimally to create the greatest possible social impact.

Need a Similar Solution?

Radya Labs is ready to help design AI-based proposal assessment systems, digital solutions for CSR teams, or cloud integrations tailored to your company’s needs. Contact us through our website to start the conversation.

For SMEs looking to automate customer service quickly and affordably, check out our omnichannel platform at jangkau.ai.