Traditional BPA and RPA remain essential for deterministic, rules-based automation, but they are limited in flexibility, adaptability, and handling ambiguous or changing conditions.
Agentic process automation, powered by autonomous AI agents, extends automation into dynamic, nondeterministic processes by adding capabilities like reasoning, planning, context awareness, and continuous learning.
The future of process automation is a hybrid model where BPA, RPA, and agentic automation co-exist, coordinated through unified governance and orchestration to deliver resilient, end-to-end business processes on SAP’s platform.
Understanding the promise of process automation
Make the leap from efficiency to transformation
Established process automation technologies offer proven value (see Figure 1). For many years, companies have used these tools to automate repetitive tasks, workflows, and business operations, enabling benefits such as:
• Optimized operations by increasing efficiency, reducing cycle times, decreasing errors, and improving compliance
• A foundation for agility and innovation that enables a faster response to change and the adoption of new technologies
• Trustworthy, consistent outcomes through orchestration, governance, and built-in security features
But as the automation landscape changes, new AI technology is extending the traditional process automation playbook. Agentic AI uses autonomous systems or “agents” to make decisions or perform tasks, achieving complex goals with little to no supervision or human intervention. Agentic AI solutions can plan, reason, adapt, and act autonomously. Unlike traditional approaches, agentic AI enables the automation of nondeterministic, adaptive processes that must respond to changing conditions, evolving data, and uncertain environments.
This paper examines the fundamental differences between traditional BPA and RPA technologies and process automation enabled by agentic AI. It offers strategic recommendations for choosing
the right technology and explores use case categories.
Reviewing the traditional process automation playbook
Traditional process automation systems and tools automate repetitive tasks, workflows, and business operations. These solutions excel at deterministic process flows where inputs, steps, and outcomes are clearly defined.
Key technologies in traditional process automation
The technologies typically used with traditional process automation include the following:
• Packaged business applications, such as ERP systems, that automate and integrate business functions such as accounting, HR, supply chain management, and customer relationship management.
• Workflow management tools, which help you create and adapt a defined series of steps, tasks, documents, and information that results in a process flow designed to achieve a specific outcome.
• RPA bots that are integrated into business systems, helping you automate and simplify tasks and interactions. These bots emulate and copy human interactions to complete repetitive business tasks. They can also navigate systems, read and enter data, and perform a wide range of rules-based tasks.
• Business rules engines that allow organizations to define, manage, and execute business rules, using predefined criteria to automate decisions. These rules engines are often used to support regulatory compliance, pricing models, and workflow automation.