Trends in 2025 AI can work on its own. Understanding AI Agentic Workflow How can AI work together as a team?
AI trends to watch in 2025: Agentic AI is expected to become the main trend in this market. Organizations will adapt to support more AI Agentic Workflows, which means using AI systems to work in a variety of tasks systematically. At the same time, organizations will invest more in developing AI Governance for supervision, expanding to dealing with Disinformation Security.
What is AI Agentic Workflow?
AI Agentic Workflow refers to a system of AI-driven operations where each agent takes on distinct tasks, functioning either collaboratively, synergistically, or independently—much like the roles within an organization. This transforms traditional AI from being merely a reactive tool into a decision-making assistant capable of enhancing efficiency across multiple domains.
This AI system integrates Large Language Models (LLMs) and other advanced technologies to design agents that autonomously handle various tasks. These agents encompass capabilities such as planning, reasoning, memory storage, and self-learning, ensuring continuous improvement of outcomes. With a diverse range of applications, AI Agentic Workflow is poised to establish new standards for integrating AI in modern operations.
Key Features of AI Agentic Workflow
- Strategic Planning
AI assists in long-term planning by analyzing multidimensional data, such as sales forecasting or resource allocation within organizations. - Task Automation
Each agent performs specific tasks, such as managing customer data, sending follow-up emails, or conducting in-depth data analysis. - Self-Learning
AI improves its performance by learning from experiences, such as analyzing user behavior to refine strategies. - Collaboration
Multiple agents work together on a single project, like inventory management systems communicating with logistics systems. - Memory Integration
AI gathers and utilizes data to continuously refine work processes.
These features enhance efficiency while reducing errors in both automated and complex organizational workflows.
The Role of AI Agentic Workflow by 2025
By 2025, AI Agentic Workflow is expected to play a significant role in organizational operations. This approach provides flexibility and adaptability, making it well-suited for complex applications across various industries.
How Does AI Collaborate as a Team?
AI agents collaborate as a team by leveraging various technologies, including:
- Machine Learning: Enables AI to learn from data and improve performance.
- Natural Language Processing: Allows AI to understand and interpret human language.
- Reinforcement Learning: Helps AI learn from actions and their outcomes.
- Distributed Systems: Facilitates efficient collaboration among multiple AI agents.
Addressing Challenges in AI Adoption
As AI continues to advance, organizations face concerns regarding governance, security, and preparedness for potential threats. Misuse of advanced AI can also pose risks.
One significant challenge is disinformation security, where AI is used to create and spread false information. Organizations must adopt strategies to counter these threats, such as:
- Deepfake Detection: Utilizing AI to identify and differentiate AI-generated content.
- Impersonation Prevention: Using AI to assess user behavior and verify authenticity.
- Reputation Protection: Monitoring and managing attacks that could harm organizational image.
By 2024, organizations are expected to invest more in AI for security. Gartner surveyed organizations worldwide and found that the majority (32%) of organizations are developing existing AI, while 21% are implementing AI in their operations. 20% of organizations have AI in use, but a whopping 19% of organizations have no plans to develop AI at all.
Credit: thairath