New Delhi, Aug 19: Agentic AI is emerging as the next major phase of enterprise artificial intelligence, with businesses increasingly looking beyond AI-generated content towards systems that can plan, decide and carry out tasks with limited human intervention.
According to the latest findings cited in the report, nearly 99 per cent of companies are planning to adopt agentic AI, while only around 9–14 per cent have so far deployed such systems in production. The gap highlights both the strong interest in the technology and the challenges businesses face in turning AI experiments into reliable, everyday solutions.
Agentic AI differs from traditional AI applications because it can work through a series of steps to achieve a defined objective. Depending on how it is designed, an AI agent can analyse information, use software tools, make decisions within set boundaries and take action, while keeping humans involved where necessary.
For businesses, the potential is significant. AI agents could help automate repetitive processes, support customer service, streamline finance and administration, assist software development and improve supply-chain operations. By taking care of routine tasks, they could allow employees to spend more time on activities requiring creativity, judgement and human interaction.
At the same time, moving agentic AI into production requires careful preparation. Businesses need dependable data, secure technology infrastructure, clearly defined workflows and appropriate controls to ensure that AI systems operate within approved limits.
The technology also brings a new level of responsibility. Since AI agents can potentially take actions rather than simply provide information, companies need effective monitoring, human oversight and clear accountability when deploying them in sensitive business processes.
The growing gap between planned adoption and production deployment therefore offers an important lesson for the corporate sector: AI success cannot be measured simply by the number of pilots launched. Its real value will depend on whether it can solve business problems and deliver measurable improvements.
As enterprises gain more experience with autonomous systems, the focus is expected to shift towards practical outcomes such as higher productivity, lower operating costs, faster decision-making and better customer experiences.
Agentic AI could ultimately reshape the workplace by changing how people interact with technology. Rather than using AI only as a digital assistant, employees may increasingly work alongside intelligent systems capable of managing entire workflows under human supervision.
The emerging opportunity is clear, but so is the responsibility. For businesses, the next chapter of AI adoption will be about combining technological ambition with human judgement, strong governance and measurable business value.