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State of Generative AI in enterprises

Q4 report – India insights

Explore the key findings on the state of Generative AI and Agentic AI adoption in Indian enterprises. The fourth wave of the report, from an India perspective, highlights the growing interest in multi-agent systems, use cases moving from PoC to production, continued investments in GenAI and more.

India rides on Agentic AI wave as more than 80 percent businesses explore its potential.

Indian organisations are riding the wave of Agentic AI innovation as they are actively exploring the development of autonomous agents. Deloitte’s fourth edition of State of Generative AI (India perspective) highlights the growing interest in multi-agent systems, where Multiple Large Language models (LLMs) are deployed together to enhance capabilities and accuracy.

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Explore findings from other reports such as State of GenAI in enterprises in India Q3 report, , how is the AI infrastructure and data centers fairing in India, trustworthy AI, and more.

Key highlights of Q4 report

The final pulse check of the “2024 State of Generative AI in enterprises” series also reveals that organisations are willing to invest in AI, which is complemented with an encouraging ROI they are witnessing. The top three benefits that organisations have realised with GenAI are improved efficiency and productivity (59 percent), reduced cost (39 percent) and increased innovation (32 percent).

Explore detailed insights from the report

Below are some of the key findings from the report:

The survey reveals that over 80 percent of Indian organisations are actively exploring the development of autonomous agents, indicating a strong shift towards Agentic AI. Additionally, 70 percent of firms indicated a strong desire to use Agentic AI for automation, highlighting the increasing adoption of AI-powered autonomous systems across industries. There’s an increased focus on multi-agent systems, with 50 percent of organisations identifying it as a key area of focus.
The survey further hints towards an increase in the pace of innovation and investment in AI-driven transformation, with 71 of percent firms actively pursuing more than 10 Generative AI experiments or Proofs of Concept (PoC). More than 30 percent of the GenAI experiments or PoCs are expected to be fully scaled in the next three to six months per 29 percent of the organisations. The survey indicates that most businesses prefer buying Generative AI tools and applications rather than developing them in-house. While this strategy allows firms to quickly integrate AI into their workflows, it may also lead to limited customisation, challenges in differentiation and dependence on external vendors.
The survey reveals that more than 80 percent of the overall sentiment about Generative AI is still positive, with 70 percent indicating excitement and 33 percent indicating fascination. Over 80 percent of organisations plan to increase investments in all aspects of AI technologies, showcasing the importance placed on these emerging technologies and the need to capitalise on them. Having highlighted that, 48 percent of organisations invest less than 20 percent of their overall AI budget, potentially indicating a certain hesitance in pushing forward with GenAI with full force.
Per our report, more than 67 percent of firms said that GenAI had a beneficial effect on all phases of the software development life cycle. The findings further demonstrated the business benefits of GenAI as almost 70 percent of respondents said their AI integration efforts met or surpassed ROI estimates. Critical departments, such as IT, customer service, marketing, operations and product development, emerged as leaders in AI adoption as businesses advance in their AI maturity.
The survey revealed that concerns around errors with real-world consequences (36 percent), bias and hallucinations (30 percent) and data quality (30 percent) continue to slow down GenAI deployment. However, most organisations expect to overcome these challenges within 12-24 months, demonstrating confidence in AI’s long-term potential. For >30% of organisations, the biggest barriers to GenAI deployment are implementation challenges, lack of technical talent and skills and a general concern regarding regulations and compliance.