This exclusive article series has been conducted by The Mainstream editorial team in collaboration with Mr. Piyush Agrawal, AWS Ambassador | VP Public Cloud & DevOps, i2k2 Networks
Artificial Intelligence (AI) research, which began in the 1950s to test whether a machine could imitate human intelligence, expanded rapidly into domains such as natural language processing, computer vision, robotics in the 2000s, and, until recently, the advent of generative AI (GenAI). And just when we began to understand GenAI’s impact across industry verticals, another game-changing concept has emerged – the Agentic AI, which is expected to reevaluate the capabilities of AI, setting new boundaries. Agentic AI combines newer forms like large language models (LLMs) and traditional forms of AI like machine learning and data analytics, and automation to build autonomous AI agents. Agentic AI can analyze data, set and achieve goals, and take actions with very little human intervention.
Agentic AI – the next big thing
Agentic AI refers to AI systems capable of autonomous decision-making, goal-oriented planning, and adaptive task execution. These systems proactively solve problems, optimize outcomes, and operate independently, requiring no human assistance. Organizations will leverage this extensively as Agentic AI has the potential to autonomously work toward the organization’s specific goals, especially when they are struggling with humungous data, intricate operations, and growing expectations for efficiency from customers, as Agentic AI not only helps but acts. While GenAI relies on human input and is adept at generating new content in text, images, code, and other formats, Agentic AI goes beyond content creation and empowers autonomous systems to make decisions and take actions.
Agentic AI- business benefits
Organizations benefit immensely from these next-gen AI agents with increased efficiency and productivity, enhanced problem-solving, and autonomy while ensuring workflow optimization and business processes. Agentic AI also has the potential to deliver highly personalized experiences and solutions by learning from earlier interactions, thereby enhancing customer experience. These systems can be deployed across several applications and industry verticals. As it has the capability of processing natural language, humans can effortlessly interact with these AI systems, leading to better communication.
Agentic AI in practice – empowering enterprises
Corporate IT teams for many years have been establishing operational resilience and data security. In the recent past, AI and automation enabled the optimization of business processes. However, the leveraging of AI was limited to only a few tasks. Agentic AI has the potential to introduce autonomous and goal-oriented intelligence where AI agents take action while collaborating with machines and humans. Today, several enterprises are exploring Agentic AI agents to manage a wide range of tasks in-house. Although in its early development stage, Agentic AI’s potential use cases are seen emerging across functions, business units, and industry verticals.
- Software Development
Agentic AI agents have the potential to manage the entire software development lifecycle from design to quality assurance. An agentic AI solution will streamline the development process by automating code generation and review, optimizing CI/CD pipelines, and accelerating incident response. AI agents will also reduce the burden on developers by automating documentation. These processes can accelerate the creation of the software in addition to the development and maintenance of the software products. The specialized AI agents can also simplify the process of modernizing legacy software systems, where different agents take up different tasks, thereby enhancing productivity and ensuring cost optimization.
- Customer experience
Current customers and prospective ones can interact with the organization’s agentic AI for resolving complex issues and catering to their needs in real time. AI agents act independently with the knowledge about customer intent and requirements based on previous interactions and offer personalized experiences at scale and speed with customized solutions. The Agents offer 24/7 support, which has established efficiency and consistency in the service provided. They also improve self-service capabilities, reducing response times. These digital shopping AI assistants can enhance the shopping experience, and after interacting with customers, they can also recommend products based on their interactions. The hyper-personalized service to customers can build brand loyalty in the long run.
- Human resources
HR personnel have to attend to various workflows, from sourcing to onboarding and training. AI agents can streamline and refine these HR processes, besides transforming recruitment. It can also offer personalized career growth advice to all employees based on their abilities and the organizational requirements. Performance management, which includes providing feedback and recommendations for future development, is made possible too with AI agents. HR teams can leverage Agentic AI to handle both routine and complex administrative tasks by automating them, which saves time. With AI agents taking over these tasks, the HR teams have the opportunity to leverage their time on strategic and higher-value tasks while focusing on talent development as well.
- Cybersecurity
Security teams that continue to face a talent shortage can benefit immensely from Agentic AI. In this domain, AI agents can play a key role by autonomously monitoring network traffic, actively detecting threats and anomalies, offering contextual decision support, simulating attack scenarios, and coordinating incident response. All these functions that drive efficiency in security operations are taken care of by AI agents in the absence of human expertise. With cyber threats growing in number and sophistication, AI agents can help in strengthening the security posture of the organization.
Across industries, Agentic AI is poised to play a revolutionary role. In healthcare, AI agents could monitor patient health conditions and offer treatment plans by analyzing large volumes of medical data, besides accelerating drug discovery and development. In the financial services sector, Agentic AI can analyze market trends and investment opportunities and offer personalized financial plans for customers. These AI agents can bring in efficiency and help optimize logistics and supply chain management while ensuring on-time delivery of goods and services.
Although still in early stages, several organizations have begun experimenting with Agentic AI frameworks such as Microsoft’s AutoGen, CrewAI, and LangChain, among others. It is time for CIOs and IT heads to engage with Agentic AI and gain a competitive advantage in today’s intelligent enterprise era.
Also read: Viksit Workforce for a Viksit Bharat
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