EY Technology revolution

How Agentic AI Revolutionizes the New Generation of Technology

Discover how Agentic AI is transforming the interaction between humans and machines, helping organizations optimize processes, and elevating customer satisfaction to new heights!


In brief

  • AI agents function as digital colleagues that learn and make decisions independently, increasing efficiency.
  • Companies must address ethical considerations and training to successfully integrate the benefits of Agentic AI.

With Agentic AI, we are entering an unprecedented new dimension. We are just getting accustomed to AI, but Agentic AI is fundamentally changing the interaction between humans and machines. AI-agents operate as our new digital colleagues, integrating various tasks into a cohesive process. Instead of being limited to executing a single prompt or task based on a command, these agents are capable of functioning independently, learning, and making decisions within a broader framework.

What is Agentic AI?

Agentic AI represents a groundbreaking evolution in technology, fundamentally transforming how humans and machines interact. These AI agents act as digital colleagues, capable of integrating various tasks into seamless processes. Unlike traditional AI, which executes single commands, Agentic AI operates autonomously, learns from experiences, and makes independent decisions.

How It Works

Utilizing advanced machine learning and natural language processing, Agentic AI optimizes customer service, streamlines business processes, and enhances strategic decision-making. By automating routine tasks and delivering personalized experiences, organizations can boost efficiency and elevate customer satisfaction.

Benefits of Agentic AI

  1. Autonomous Functionality: AI-agents work independently, automating routine tasks and increasing operational efficiency.
  2. Data Management: They store and manage data, enabling long-term interaction memory.
  3. Analytical Insights: AI-agents analyze data to provide actionable insights, driving informed decision-making.
  4. Action-Oriented: Beyond insights, they can execute actions based on their analyses, adding significant value to business operations.

Where to Start

Implementing Agentic AI can signficantly enhance operational efficiency. For instance, in customer service, AI-agents can quickly retrieve and compile information from various systems, providing timely responses to customer inquiries. This not only speeds up processes but also improves overall customer satisfaction.

The interaction and collaboration between humans and AI mark a significant advancement with the rise of Agentic AI. Imagine AI-driven assistants planning your next trip abroad and making all the necessary arrangements; human-like bots acting as virtual caregivers for the elderly; or AI-supported specialists in the supply chain optimizing inventory in real-time based on fluctuations in demand. These are just a few of the new possibilities that the era of Agentic AI brings.
Efficiency through AI-agents in business operations The implementation of AI agents can help companies improve their operational efficiency. AI-agents can serve as the glue that connects various systems and applications within an organization. This can lead to a more integrated and flexible work environment, where data is available in real-time for decision-making.

An example is the use of AI-agents in customer service. When a customer asks about the status of an order, an AI-agent can retrieve the necessary information from various systems, such as CRM and order management systems, and compile this information into a comprehensible answer. This speeds up the process and improves customer satisfaction.

Promising future with Agentic AI

The future of Agentic AI looks promising. An impressive growth of 45% Compound Annual Growth Rate (CAGR) is predicted in the sector until 2030, with applications in natural language processing, deep learning, and computer vision. Companies that embrace these technologies will be better positioned to compete in an increasingly digital world. The development of Agentic AI requires not only technological advancement but also a shift in the mindset of companies. Organizations must be willing to invest in training and development for their staff so that they can effectively collaborate with AI agents.

Ethics and responsibility An important topic is the ethics of Agentic AI. Companies must be aware of the ethical implications of using AI agents, such as privacy issues and the potential for bias in algorithms. It is essential that organizations are transparent in their use of AI technologies and ensure that they act ethically.

 

Training and skills

The need for training and reskilling for employees is crucial. To effectively collaborate with AI-agents, employees must possess specific skills and knowledge. Companies should invest in training programs to ensure that their teams are well-prepared for the integration of Agentic AI into their daily operations.


Agentic AI and the enhancement of public services

AI offers promising opportunities for the Dutch public sector. By having the ability to autonomously pursue goals, gather information, and learn from feedback, these systems can take over routine tasks and improve government services. Consider poverty policy where AI agents proactively analyze relevant data, identify trends, and formulate policy proposals. The essence lies not in replacing human decision-making but in enhancing it.

For successful implementation, clear frameworks and ethical considerations are essential: transparency about how AI reaches conclusions, human oversight of decisions, and ongoing evaluation of results. When applied carefully, Agentic AI can contribute to a more responsive and equitable government that effectively addresses societal challenges while safeguarding the human element. Agentic AI is a new step forward, and thanks to our experience within the organization, we confidently enter this dimension and combine innovation with ethically Responsible AI.

Contribution from Anna van den Breemer-Kleene | EY - Nederland
EY Nederland Partner Consulting, Public Sector, AI




Summary

Agentic AI marks a significant shift in human-machine interaction, enabling AI agents to function as autonomous digital colleagues. These agents utilize machine learning and natural language processing to optimize customer service and business processes, enhancing efficiency and satisfaction. Key components include autonomous functionality, data management, analytical capabilities, and action-oriented insights. While challenges exist, such as data quality and integration into existing workflows, the potential for growth is substantial, with a projected 45% CAGR by 2030. Companies must invest in training and ethical considerations to fully leverage the benefits of Agentic AI.

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