The introduction of agentic systems creates a paradigm shift for AI capabilities. While traditional AI applications are able to provide assistance by responding to prompts and helping users perform more specific tasks, Agentic AI systems can generate plans and execute complex workflows to achieve defined objectives without user intervention or assistance.
Chief Technology Officer
Judge Group, India
Defining Agentic AI
Simply put, Agentic AI is a classification of AI technologies that can act as autonomous agents. In contrast to traditional AI applications that require constant human input for some tasks, agentic systems are designed to understand objectives and produce plans that respond to changing conditions. They achieve this by acting upon a set of objectives across multiple software tools, operating systems and environments. An example of a traditional AI application is a travel-related chatbot that provides information and answers questions about various travel destinations. A co-pilot will assist a user to book a flight with enough detailed instructions to successfully complete the booking process. An agentic AI system, however, could receive an objective, plan my business trip to Singapore in the next month, while adhering to a specific dollar budget, research travel options to Singapore, compare hotels and airlines, coordinate schedules, send approval requests to managers and complete the entire travel planning process without requesting assistance from an individual. Thus, the major differentiating factor between agentic AI and all other types of artificial intelligence is the transition from performing a conversation to executing a plan.
Characteristics of Agentic AI
The distinguishing feature of Agentic AI is that it operates with greater independence than traditional AI systems. Agentic AI can plan for a series of actions and make adjustments to its plans when any component or environment changes, it learns from previously completed tasks to improve performance on future tasks, and it can coordinate multiple tool and platform usage to complete a goal. For instance, if a company assigns an agentic AI system to organize a business trip, the agentic AI could compare and select flights and hotels; schedule meetings; monitor changes to flights and hotels, and update their schedule without having to give a sequential command for each of those actions. Agentic AIs perform these tasks because they have the capabilities associated with internal functioning such as advanced reasoning and memory, contextual awareness, and external connectivity through application integration. By incorporating multiple functions, Agentic AI can manage a complex process without any significant human support.
Commercial Applications and Opportunities
The commercial applications for Agentic AI could exist in every industry that has a commercial application. In the area of customer service, autonomous agents can manage the entire process of customer care from beginning to end; therefore, they can review a customer record to determine the root cause of the issue and resolve the issue without the need for any human interaction. In healthcare, they can assist with scheduling and coordinating care for patients, as well as completing administrative tasks, so a healthcare professional can spend more time focusing on the patient. Agentic AI can be used by enterprises to manage procurement; monitor compliance; manage supply chains and financial reporting systems, etc. Agentic AI can also assist the software development team in automating the functions of testing an application, identifying defects, deploying patches, and monitoring application performance. Therefore, by automating entire workflows instead of just one individual function, organizations can achieve greater efficiency, reduce operational costs, and improve scalability.
Needs and Challenges of Responsible Adoption of Agentic AI
Agentic AI presents significant opportunities and challenges; however autonomous systems must be reliable, secure, and aligned with the enterprise mission. Any errors resulting from AI agents in either decision-making or execution could result in substantial damage to operations, finances, or reputation. The issues of data privacy, cybersecurity, transparency, and accountability are also critical since AI Agents have access to sensitive data and are used in a decision-making capacity.
Enterprises must also prepare to face the impact of workforce roles changing due to Agentic AI and invest in reskilling their workforces to make them effective with AI Agents. Developing governing frameworks and maintaining human supervision are critical elements in ensuring that Agentic AI continues to provide value in a responsible manner.
The Future of Human/AI Collaboration.
Strategic direction, creativity, ethical judgment, and oversight will remain in the hands of humans while executing, coordinating, and repeatedly deciding tasks will now be handled by AI agents. As Agentic AI becomes more advanced, professionals may manage groups of digital agents as they manage groups of humans today. Organizations that effectively use Agentic AI in their operations will enjoy significant competitive advantages through improved efficiency, faster decision-making, and greater innovation. As Agentic AI is further developed and matured, it will serve as the underlying technology for the next generation of intelligent enterprises and represent the first step in creating AI-initiated and managed, autonomous operations.
–Authored by Dr. Kanishk Agrawal, Chief Technology Officer at Judge Group, India