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India’s Measured March Towards Agentic AI
- The year 2025 is centered around agentic AI, enabling systems to perceive, reason, and act independently.
- Adoption of agentic AI in India is deliberate and gradual, with companies rethinking their processes to integrate the technology.
- Challenges like adoption efforts, regulation compliance, and education hinder the full-scale integration of agentic AI.
- Tredence has implemented agentic AI in financial services for portfolio rebalancing, lending, and fraud detection.
- Agentic AI's advantage lies in real-time decision-making compared to traditional AI, especially crucial in fraud prevention.
- Human oversight remains essential in finance; hybrid decision-making blends agentic AI with human intervention.
- India's regulatory framework emphasizes preventing data misuse, ensuring unbiased decisions, and protecting the end users.
- Agentic AI will transform job roles, shifting focus from manual tasks to strategic decision-making and client engagement.
- The future involves developing advanced 'super agents' to manage entire customer relationships or complex workflows.
- India's potential lies in offering agentic services in multiple languages, leveraging existing infrastructure like UPI for AI-powered financial systems.
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