
India's rural livelihood mission uses AI to track 10 million women in real time. Next, predictive AI could make government conversational and eliminate forms, says GDi CEO.
India's next phase of public-sector transformation lies in building artificial-intelligence infrastructure that lets governments move from reactive administration to proactive governance, according to Ankur Bansal, CEO and founder of GDi Partners.
Bansal said AI will change the relationship between government and citizens by allowing systems to detect early signals of a problem and deliver support before it is needed.
The National Rural Livelihoods Mission's LokOS platform, developed with Digital India Corporation and GDi, already aggregates data from millions of women in self-help groups into a real-time system. That platform lets administrators make decisions based on integrated information rather than fragmented reports.
"Governance could become conversational, responsive and significantly easier to engage," Bansal said, envisioning a future where citizens do not need to fill multiple forms or deal with complex processes.
Umang Bhola, a manager at GDi, emphasized that AI in governance is not about deploying a single tool but about changing how a system operates. It requires reimagining workflows and redefining accountability. Bhola said the shift must move beyond vendor-led pilots to government-owned integration.
The potential applications Bansal described range from delivering agricultural advisories directly to farmers to detecting anomalies in welfare programs before they become problems.
What would confirm the thesis? If governments move from pilot projects to system-wide integration owned by the state. What would break it? If adoption remains fragmented across departments, with no common data platform.
The transformation depends on whether governments can rewire their workflows, not just add AI to existing processes.
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