Social Impact with AI Characteristics: The Digital Platform Reducing CSR Reporting Times by 70%
Compiling CSR reports is an important yet time-consuming process for organizations working on social impact. iAmpact, developed by Delhi’s Twevescode Technologies, automates the collection and validation of impact data, allowing employees to focus on grassroots work rather than administrative tasks.
Updated on: 24 June 2026
Sector
Solution
Quality Control
Technology
AI
State of Origin
Impact Metrics
135+ CSR projects covered
across education, rural empowerment, and other fields.
200 hours per year
saved for each employee through the automation of CSR data reporting.
65% increase in data accuracy
by validating collected information using AI algorithms.
Corporate social responsibilty (CSR) is an important financial source for organizations creating social impact. Thus, to ensure that they remain sustainable, these organizations must consistently record and validate CSR data to share with funders.
However, this is challenging—especially in contexts such as India, where data on impact tends to be fragmented across spreadsheets, phone transcripts, text messages, and so on. This data can take months to manually compile, leading in delays when preparing reports. Moreover, it is difficult to validate, and appears in inconsistent formats, posing problems during regulatory filings that call for easily auditable information. There is a pressing need for greater transparency and efficiency throughout the CSR reporting process.
In response to this, Ayush Bagga of Twevescode Technologies Pvt. Ltd., Delhi launched iAmpact in 2024. This is a digital platform that automatically collects impact data from CSR projects in the climate and social sectors, then validates this using internal AI algorithms. By digitalizing the entire process, it gives funders reliable information on CSR compliance while also reducing workloads for organizations creating change on the ground.
How the platform works
iAmpact consists of two layers: a data capture layer, which automates the collection of information, and an intelligence layer, which analyzes this information and prepares reports. Both operate simultaneously and create outputs that CSR teams, NGO partners, and compliance officers can access through a digital dashboard.
The foundations of the data capture layer consist of remote sensing and IoT devices. These devices are physically located at CSR sites, where they gather data on different social outcomes and environmental indicators that illustrate the progress of impact-oriented projects. They work automatically and in real time, eliminating the need for self-reporting by partner organizations. One example of a technique employed in the data capture layer is GIS mapping, which helps visualize where impact is being created or concentrated.
At the same time, the intelligence layer harnesses artificial intelligence to validate recorded data and screen it for anomalies. If any such anomalies are detected, the layer instantly flags them, making it easy to investigate the relevant dataset for errors or inflation. Additionally, the AI component generates regulatory filings as per frameworks set, for example, by the Companies Act and the Securities and Exchange Board of India (SEBI). This both increases the reliability of information on NGO activities and saves time on analytics.
Who has used iAmpact so far?
When it was first launched, iAmpact secured two clients, Mankind Pharma and the M3M Foundation. Today, its user base encompasses 14+ clients and 200+ active users and it manages 135+ CSR projects worth over INR 120 crore in corporate investment.
For the employees involved in these projects, it has reduced the time taken to report impact data by 70%. In the span of a year, such increased efficiency can result in time savings of around 200 hours per employee—time that could be dedicated to the stakeholders rather than bringing together scattered data. Further, the AI-driven data validation algorithms have improved data accuracy by 65%, signaling greater trustworthiness to CSR teams.
Beyond NGOs and other impact organizations, it has indirectly supported over 62,000 direct beneficiaries. These have included school students, healthcare patients, skilling and livelihood programs, rural women, and farmers from across India’s states. iAmpact’s streamlining of the CSR reporting process has allowed funders to make more informed decisions on how to direct resources to these demographics, ensuring every rupee creates tangible positive outcomes.
Potential for scaling iAmpact
The iAmpact leadership identifies a lack of standardization as the most significant bottleneck to effective CSR reporting. To address this, policymakers could issue new mandates that push social impact organizations to share impact data via a single, centralized platform. While creating this new reporting system, they could facilitate data access agreements for the platform with MCA21, NGO Darpan, and NITI Aayog’s development databases. This would allow interested parties to identify where the CSR ecosystem is creating the most results in India.
In line with efforts to standardize reporting, iAmpact also seeks partnerships with international regulatory bodies such as the UNDP and UNEP. These would help make Indian CSR initiatives more comparable to the SDGs, ESGs, and other global frameworks, thus highlighting the country’s commitment to social and climate justice on the international stage.
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