Agentic AI is Here: What Benefits Does Your Enterprise Automation Solution Provide?

The landscape of artificial intelligence (AI) is rapidly evolving. Enterprise IT and data science teams are moving beyond the era of single-task AI models to a future dominated by agentic AI. Agentic AI refers to complex systems in which multiple intelligent agents collaborate to achieve sophisticated goals.

Possessing varying degrees of autonomy, agents will interact, communicate, and make decisions. These agents may be organized in hierarchical structures, with higher-level agents overseeing the activities of subordinate agents. Through these advanced approaches, teams of AI agents will be able to undertake tasks such as designing new products, managing complex supply chains, and even optimizing existing process workflows that have been built over decades.

A paradigm shift creates challenges

This paradigm shift, while promising immense potential, introduces unprecedented challenges in terms of management and control. The potential benefits of agentic AI risk being overshadowed by increasing complexity and even chaos. Without a centralized orchestration and event management solution, agentic AI systems can quickly spiral, becoming unmanageable and unpredictable, which can pose several significant consequences:

• Workflow breakdown. Without a proven system to manage dependencies and task execution order, workflows can easily break down, leading to delays, errors, and missed objectives.
• Resource conflicts. Agents might compete for the same resources, resulting in inefficiencies, bottlenecks, and system instability.
• Communication chaos. Unstructured and uncoordinated communication between agents can lead to inconsistencies and errors.
• Loss of visibility and control. Without a centralized monitoring system, it becomes difficult to understand what agents are doing, how they are performing, and where problems are occurring. This makes it challenging to diagnose issues and take corrective action.
• Security vulnerabilities. Systems will be vulnerable to cyberattacks, data breaches, and other risks without proper access control, security policies, and audit capabilities.
• Ethical concerns. Without solid governance and oversight, it becomes challenging to ensure that the agents are operating ethically and responsibly. This can lead to unintended consequences and potentially harmful outcomes.

Enterprise orchestration requirements

To maximize the potential of agentic AI, while mitigating its risks, teams must take a new approach to management and control. Managing a multitude of autonomous agents, ensuring their coordinated action, and maintaining control in dynamic environments requires a sophisticated orchestration framework. Teams must establish robust capabilities in the following areas:

• Agent management. Defining, scheduling, and managing complex workflows involving multiple agents requires a centralized orchestration platform. This platform must be capable of handling dependencies between tasks, ensuring that agents execute their responsibilities in the correct sequence. The AI agent market is projected to grow from $5 B to $47 B in 2030 with 44.8% CAGR. Agentic AI will increase event volumes by orders of magnitude, making it an absolute imperative that teams establish dedicated, centralized systems that enable highly efficient workflow management and control.
• Resource allocation. Agents will require access to various resources, including computational power, data storage, and, in some cases, physical infrastructure. Orchestration is crucial for efficiently allocating and managing these resources, preventing conflicts, and optimizing utilization.
• Communication and data flow management. Facilitating seamless communication and data exchange between agents is essential. However, these environments will create a complex web of connectivity. For example, with just 100 agentic AI agents, approximately 5,000 potential communication pathways might be required. Automation teams require an orchestration platform that provides the necessary infrastructure for message routing, data synchronization, and ensuring data consistency across the system.
• Monitoring and control. Maintaining visibility into the activities of numerous autonomous agents is critical for ensuring the system's overall health and performance. However, given their high churn rates and frequent training iterations, these environments will generate trillions of data points daily. Consequently, groups require a robust event management system, integrated with the orchestration platform, that enables real-time monitoring of agent activity at a massive scale. These capabilities are essential in enabling early detection of anomalies, debugging and prompt intervention.
• Governance and security. As agents become more autonomous, governance and security become paramount. Automation teams require an orchestration platform that enforces policies, manages access control, and ensures agents operate within ethical and legal boundaries. This is particularly critical for higher-level agents that wield significant control over the system. The growth is supported by market analysis which indicates 46.6% CAGR in spend for AI Governance to $132 B by 2030.
• Scalability. As the number of agents and the complexity of tasks increase, groups need an orchestration solution that can scale accordingly. Gartner predicts 33% of enterprise software applications will include agentic AI, up from less than 1% in 2024. Consequently, there is a need for an orchestration platform that can accommodate the growing volume of events, data, and communication, without performance degradation.

Agentic AI is here: what benefits does your enterprise automation solution provide?

With the capabilities of modern enterprise automation platforms, such as those provided by Automation by Broadcom, enterprises can maximize the enormous potential promised by agentic AI and get the following powerful benefits:

• Boost operational and cost efficiency. Harness centralized, unified orchestration, control, and visibility, streamlining implementations and ongoing administration. Gain the intuitive, timely insights that enable teams to intelligently manage workloads and resources.
• Optimize service levels and reliability. Leverage a single platform for defining, scheduling, and monitoring complex workflows and SLAs. Gain the capabilities needed to detect anomalies early and quickly address emerging issues.
• Ensure continuous compliance. Gain the visibility and control needed to enforce policies, track and govern access, and ensure that agent operations are aligned with relevant corporate policies and regulations.

For more from Automation by Broadcom on AI-powered automation find out which AI-driven features are in the latest release of Automic Automation and read how to Build Your Own Automation AI Agent with Automic Automation.