Enterprise Systems Supporting Agentic AI

Introduction

Agentic AI is transforming how organizations leverage enterprise systems by automating complex workflows, enhancing decision-making, and enabling more autonomous business operations. The following sections outline the main types of enterprise systems and technologies that support agentic AI, integrating the required terms and concepts.

Enterprise Systems and Business Enterprise Software

• Enterprise Systems are large-scale software platforms that support a wide range of business processes, data flows, and analytics in complex organizations. These include Enterprise Resource Planning (ERP), Supply Chain Management, Customer Relationship Management, and more3.

• Business Enterprise Software and Enterprise Software refer to the suite of applications used to manage core business functions, such as order processing, procurement, production scheduling, and accounting.

• Enterprise Resource Systems and Enterprise Products are often used interchangeably with ERP and other large-scale business software solutions that integrate multiple functions across an organization.

• Enterprise Computing Solutions and Enterprise Systems Group typically refer to the teams and technologies that deliver and manage these software environments.

AI Application Generator and Low-Code Platforms

• AI Application Generators are advanced tools that use artificial intelligence to help build applications with minimal human intervention. They leverage machine learning to suggest workflows, generate code, and optimize logic, accelerating digital transformation and expanding access to AI capabilities.

• Low-Code Platforms enable rapid development of enterprise applications by both professional developers and non-technical users (citizen developers). These platforms integrate with existing enterprise systems and allow for the creation of custom workflows, interfaces, and automations.

• Citizen Developers and Business Technologists are business users who build or enhance applications without formal software development training, often using low-code platforms. They play a crucial role in extending and integrating enterprise resource planning systems and other business software solutions.

Enterprise Business Architecture and Technology Transfer

• Enterprise Business Architecture provides the blueprint aligning business strategy, processes, and technology. It ensures that agentic AI and enterprise systems are implemented in ways that support organizational goals and optimize processes.

• Technology Transfer refers to the process of moving innovative solutions, such as AI-powered prototypes, from development to enterprise-wide production, ensuring scalability and compliance.

Integration and Digital Transformation

• Agentic AI is integrated into both modern and legacy enterprise systems, enhancing operational efficiency and decision-making. This integration is a key driver of digital transformation, enabling organizations to automate routine and complex tasks, improve data management, and support real-time analytics.

• Open-source components are often used in enterprise AI solutions, providing flexibility and fostering innovation.

Security and Governance

• The use of a Software Bill of Materials (SBOM) is essential for tracking all software components, libraries, and dependencies within enterprise applications, especially as citizen developers incorporate diverse modules. SBOMs are critical for security, compliance, and incident response.

Application Domains Supported by Agentic AI in Enterprise Systems

The integration of agentic AI into enterprise systems supports a wide array of business domains, including:

• Care Management: Automating patient identification, care plan formulation, and case management in healthcare.

• Hospital Management: Managing healthcare operations, patient data, and service delivery.

• Logistics Management, Transport Management, and Supply Chain Management: Optimizing the movement of goods, tracking shipments, and managing inventory across the supply chain.

• Case Management and Ticket Management: Streamlining the tracking and resolution of complex cases and support tickets, often in service desk or HR contexts.

• AI Assistance: Providing real-time support for IT, HR, and other business functions, reducing manual workload and improving response times.

Summary Table: Key Enterprise Systems and Their Role in Agentic AI

Agentic AI, when embedded within these enterprise systems, accelerates digital transformation, increases operational efficiency, and empowers both IT and business users to innovate at scale.