In recent years, the platform focused on climate change as a defining crisis, successfully driving awareness through emotionally resonant campaigns. The campaigns went viral, driving hundreds of thousands to the Jaago Re website to pledge action. In order to take the next step to drive collective social action however, the team faced a fundamental challenge. It was the belief held by people that they alone could not make a difference to an issue like climate change. But with modern technology it is now possible to quantify the impact of small actions. This insight drove the Tata Tea Jaago Re team to use AI to help citizens visualize the powerful collective impact of their small actions. As Puneet Das, President – Packaged Beverages and Organic India at Tata Consumer Products, explains, "We needed to move from awareness to action, and then eventually to advocacy. The challenge was helping people see that their small efforts — such as taking the metro or saving water while bathing — actually add up to something meaningful. That's where AI came in."

After a multi-vendor evaluation, TCPL selected Google Cloud to support the advanced AI capabilities it needed to support this vision. It also partnered with Niveus Solutions to build a WhatsApp front end for the initiative, creating an AI-validated climate-action experience at national scale.

The system was tuned with defined tolerances to give users the benefit of the doubt. "This campaign is not about auditing people's efforts; it is about nudging them into action," says Puneet Das. That balance between accuracy and friction proved essential to maintaining user trust while scaling participation.

The backend architecture powers instant validation through:

• Vertex AI, which provides the unified platform for building, deploying, and scaling the machine learning models that power image recognition and validation.
• Gemini, which delivers advanced image analysis capabilities to verify the authenticity of user-submitted photos.
• Cloud Run, used to run the containerized image-processing service with automatic scaling; it handles up to 3,000 requests per day with ease.
• Google Cloud Storage, used for storing images and verification results.
• BigQuery, which structures data across tables tracking chat history, image metadata, and impact summaries, enabling real-time dashboards visualizing engagement by city and region.

"The biggest benefit was the instant feedback provided to consumers," says Das. "It's framed evocatively to build confidence that their small actions make a tangible difference." For example, instead of 'you saved 2.5 kg of CO₂,' the system says 'that's equivalent to planting 20 trees.' This reframing has been audited by DQS for accuracy.

The platform reached 200 million people across multimedia platforms within two months of launch. 150,000 visitors checked out the JaagoRe website in this period to learn more about the tool.