August 4, 2025
5 min read
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Indian IT firms rapidly adopt agentic AI, embedding 300+ AI agents in workflows. Experts highlight challenges in accuracy and autonomy.
Indian IT giants and startups are rapidly expanding their deployment of agentic AI, embedding over 300 AI agents across various workflows, up from 150 recently. According to a Deloitte report, 80% of Indian enterprises are actively exploring this technology, with nearly half focusing on multi-agent collaboration to enhance operational efficiency.
However, experts caution that significant challenges remain, particularly regarding the accuracy, reliability, and real-world performance of these AI agents. Ramprakash Ramamoorthy, Director of AI Research at Zoho, remarked, “We are playing a wait and watch game… only when customers see value will we start pricing it.”
Industry leaders emphasize that many so-called AI agents currently deployed are essentially automations in disguise. Neeraj Poddar, CTO of NimbleEdge, explained, “Truly intelligent AI agents should have world knowledge, reasoning capabilities, and the ability to evaluate and replan.” Similarly, Jaspreet Bindra of AI&Beyond noted that genuine autonomy emerges only when agents learn from feedback and make novel decisions under uncertainty.
Looking ahead, experts agree that the successful adoption of agentic AI in enterprises will require stronger observability, explainability, and guardrails to ensure trust and safety. Poddar predicts that “enterprise adoption that delivers true value will happen in the order of 2-3 years,” calling 2025 just the beginning for AI agents in India’s tech landscape.
Source: LinkedIn - Analytics India Magazine
Key Insights:
- Over 80% of Indian enterprises are exploring or deploying autonomous AI agents.
- Nearly 50% prioritize multi-agent workflows for enhanced collaboration.
- Current AI agents often lack true autonomy and reasoning capabilities.
- Real autonomy requires continuous learning from feedback and decision-making under uncertainty.
- Stronger observability, explainability, and guardrails are essential for enterprise adoption.
- True value from AI agents is expected within 2-3 years.
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Industry Perspectives:
“We are playing a wait and watch game… only when customers see value will we start pricing it.”
— Ramprakash Ramamoorthy, Director of AI Research, Zoho
“Truly intelligent AI agents should have world knowledge, reasoning capabilities, and the ability to evaluate and replan.”
— Neeraj Poddar, CTO, NimbleEdge
“True autonomy emerges only when agents learn from feedback and make novel decisions under uncertainty.”
— Jaspreet Bindra, AI&Beyond
The Road Ahead
Experts agree that the future of agentic AI in India hinges on improving the technology’s reliability and autonomy. Enterprises will need to implement robust monitoring and explainability tools, alongside ethical guardrails, to foster trust and maximize the benefits of AI agents. As Indian IT firms and startups continue to innovate, 2025 is poised to be a pivotal year marking the transition from experimentation to meaningful enterprise adoption of agentic AI.Source: LinkedIn - Analytics India Magazine
Frequently Asked Questions (FAQ)
About Agentic AI Deployment in India
Q: What is the current deployment status of agentic AI in India? A: Indian IT giants and startups are rapidly expanding their deployment of agentic AI, with over 300 AI agents embedded across various workflows, a significant increase from previous figures. Q: What percentage of Indian enterprises are exploring agentic AI? A: According to a Deloitte report, 80% of Indian enterprises are actively exploring agentic AI technology. Q: What is the primary focus for Indian enterprises adopting multi-agent collaboration? A: Nearly half of the enterprises focusing on multi-agent collaboration are doing so to enhance operational efficiency.Challenges and Future of Agentic AI
Q: What are the primary challenges identified by experts regarding AI agents? A: Experts highlight concerns about the accuracy, reliability, and real-world performance of current AI agents. Q: What capabilities define a "truly intelligent AI agent"? A: Truly intelligent AI agents should possess world knowledge, reasoning capabilities, and the ability to evaluate and replan their actions. Q: When is true autonomy achieved for AI agents? A: True autonomy is achieved when AI agents can learn from feedback and make novel decisions under conditions of uncertainty. Q: What is needed for successful enterprise adoption of agentic AI? A: Successful adoption requires stronger observability, explainability, and robust guardrails to ensure trust and safety. Q: What is the projected timeline for meaningful enterprise adoption of agentic AI in India? A: Experts predict that enterprise adoption delivering true value will likely occur within the next 2-3 years, with 2025 being considered just the beginning.Crypto Market AI's Take
The increasing adoption of agentic AI in India mirrors a global trend where businesses are leveraging AI for enhanced operational efficiency. At Crypto Market AI, we are also at the forefront of integrating advanced AI capabilities, particularly in the realm of cryptocurrency. Our platform utilizes AI-driven trading bots and sophisticated AI analysts to provide users with cutting-edge market intelligence and automated trading strategies. We understand the importance of true intelligence in AI agents, focusing on systems that possess world knowledge and robust reasoning capabilities, aligning with the industry's call for reliable and autonomous AI solutions.More to Read:
Source: LinkedIn - Analytics India Magazine