Revolutionizing Industries: The Rise of Agentic AI and Its Transformative Power
Technology leaders must understand this pivotal moment in digital innovation. New advancements in GenAI technology are set to create more transformative opportunities for tech-savvy enterprises and organisations.
These developments come as data shows that although the GenAI boom is real and optimism is high, not every organisation is generating tangible value so far. According to NTT DATA’s Global GenAI Report, 97% of CEOs expect a material impact from the technology and 99% of respondents are planning more GenAI investment, even though only 43% of the C-suite strongly agree their existing solutions are meeting expectations.
However, the rise of agentic AI promises to change this scenario. Powerful use cases are emerging that not only aim to drive profits but also alter how organisations operate and how workers perform their jobs.
Agentic AI Shifts the Dial
NTT DATA’s report reveals that 95% of organisations believe this technology is ushering in a new level of creativity and innovation – marking agentic AI as a significant advancement in the evolution of GenAI.
Unlike the simple question-and-reply functionality of today’s AI solutions, agentic AI can execute tasks autonomously within workflows. This technology can operate independently, make decisions based on real-time analysis and, importantly, execute those decisions.
It is this ability to ‘think’ and act autonomously that will enable a complete transformation of business workflows and unlock new value.
Likely Use Cases for Agentic AI
In practice, agentic AI is emerging in diverse fields such as autonomous vehicles, automated trading systems, and healthcare, where it is being programmed to perform tasks, make choices, and interact with its environment like a human agent.
For instance, hospitals and healthcare providers will increasingly implement AI-powered diagnostic tools for analysing medical images and detecting diseases.
In the insurance sector, agentic agents are anticipated to manage the full customer engagement workflow, updating data with relevant information and completing complex tasks based on customer inquiries.
Five Recommendations for Success
As organisations seek to integrate agentic AI into their operations, they need to ensure smooth deployment and maximize value creation. According to NTT DATA, five key success factors should be considered:
- Integration: Smart agents must be part of a complete stack of technologies and services. Integration is critical to achieve the desired transformative benefits.
- Alignment: Organisations need to balance technologies tailored to their specific use-case and business needs. Presently, 51% of firms have not achieved this strategic alignment.
- Preparation: Data readiness and governance are crucial for success and should be aligned with business process transformation.
- Operations: Mature AIOps are essential for maintaining and improving agentic models, safeguarding against drift, and creating feedback loops for agent workflow management.
- Partnerships: Collaborate with third-party services to support smart-agent ecosystems and accelerate innovation without excessive risk.
Although agentic AI is still in its infancy, adoption is likely to accelerate. Now is the time for organisations to start defining use cases and preparing for successful deployments.
For detailed insights, refer to the NTT DATA’s Global GenAI Report.
