India is leading the global curve in the adoption of Agentic AI, with over 80% of businesses actively exploring the development of autonomous agents, according to Deloitte’s latest “State of GenAI (Fourth Wave)” report. The report outlines an India-specific view of how organisations are rapidly deploying next-generation artificial intelligence to transform workflows and automate operations.
Agentic AI Gains Momentum in India
Agentic AI refers to AI systems that operate independently to accomplish predefined objectives, requiring minimal human intervention. These systems are increasingly becoming the foundation for automation in Indian enterprises. Deloitte’s findings reveal a major shift in business strategy, with Indian companies prioritising Agentic AI to enhance innovation and productivity.
The report further notes that more than half of the Indian organisations are currently conducting over ten generative AI (GenAI) experiments. Around 70% of them see GenAI as a core automation tool, while 50% are prioritising multi-agent workflows—systems where several sub-agents operate under a master agent to fulfil tasks.
C-suite Optimism Despite Key Challenges
The Deloitte survey, which involved 2,773 C-suite leaders across 14 countries, identifies multiple challenges that continue to hinder broader deployment of AI. These include concerns over system errors (36%), data bias and hallucinations (30%), and data quality (30%).
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Despite these hurdles, Indian firms remain optimistic. Many expect to overcome deployment challenges within the next two years through strategic investment in scalable digital ecosystems and agile innovation practices.
Need for Sustainable AI Strategies
While a majority of Indian firms prefer purchasing off-the-shelf AI solutions for rapid integration, this trend raises concerns about adaptability and longevity. Nearly 28% of companies fear their current AI solutions may become obsolete within two years.
Deloitte India Partner Moumita Sarker stressed the importance of balancing rapid adoption with long-term sustainability. “Most Indian organisations prefer buying AI solutions over building in-house capabilities. In such cases, ensuring adaptability to evolving needs is a challenge,” she said.
She also highlighted the need for businesses to invest in robust governance mechanisms to address concerns around AI reliability and build public trust in AI systems.
