Introduction
It all started on a typical Monday morning. I fired up SAP GUI, ready to process a long list of transactions—manually navigating through endless screens, entering data, and clicking buttons. It was tedious, repetitive, and—let’s be honest—downright frustrating.
That’s when I thought: What if I could just tell SAP what to do?
Having seen OpenAI’s capabilities—from generating human-like text to assisting with code—I wondered: Could AI control my SAP GUI? Could I replace endless clicking with a simple command like, “Post an invoice in SAP”?
This question led me down a path of discovery, and the results were nothing short of mind-blowing!
Is SAP Build a Contemporary Solution for RPA?
With SAP’s push toward low-code and no-code automation, SAP Build has emerged as a promising tool for business process automation. But does it truly compete with traditional RPA solutions?
SAP Build empowers business users by allowing them to create workflows and automate repetitive tasks with minimal coding. It integrates seamlessly with SAP applications and provides a user-friendly interface for building automation flows.
However, for deep SAP GUI automation, SAP Build may still fall short compared to Python-based Windows controls or dedicated RPA platforms. While SAP Build excels at high-level process automation, it lacks the flexibility required for interacting dynamically with SAP GUI screens.
In contrast, my approach—leveraging Python and Windows controls—enables more granular control over SAP GUI interactions, making it a strong alternative for those looking to bypass traditional RPA constraints.
The Idea: Automating SAP GUI with Natural Language
SAP automation isn’t new. Traditionally, it’s done using SAP GUI Scripting, RPA tools, or Selenium-based approaches. But I wanted something more intuitive—something where I could simply type a command in plain English, and my SAP system would execute it.
No scripting. No manual clicks. Just automation powered by Natural Language Processing (NLP) and Python-based Windows controls.
The Architecture
SAP-Voyager is engineered with a forward-thinking, generative AI approach to drive intelligent automation.
Key Components:
- Agentic Framework – A self-directed, AI-driven framework that enables autonomous decision-making for RPA tasks.
- Auto-Correction Mechanism – Intelligent error detection and auto-correction ensure continuous process improvement.
- Multimodality with Vision AI – Integrates visual data processing to understand context, enabling dynamic adjustments in automated workflows.
- AI Agent Planning – A pre-execution planning module that simulates and validates automation steps to optimize performance and accuracy.
- Python-Based Integration – Developed in Python for flexible integration with platforms such as Azure OpenAI, Gemini, and SAP Generative AI HUB.
The diagram below illustrates the workflow and architectural components:
AI Agent Framework: The Heart of SAP-Voyager
The AI Agent Framework powers SAP-Voyager, enabling dynamic, self-improving automation.
Core Capabilities:
- Autonomous Decision-Making – Agents analyze inputs independently and determine optimal automation strategies.
- Adaptive Learning – Continuous learning from interactions and feedback enhances performance over time.
- Python-Powered Integration – Leverages Python libraries and frameworks for seamless AI platform integration.
- Platform Agnostic – Easily adaptable to Azure OpenAI, Gemini, and SAP Generative AI HUB for diverse enterprise needs.
Business Scenarios
SAP Voyager can be leveraged across multiple business scenarios, including:
- Personal Business Analyst – Automate business insights with AI-driven decision-making.
- UI Automation Fallback – Ensure smooth SAP automation when traditional RPA tools fail.
- DDIC Automations – Automate Data Dictionary (DDIC) tasks efficiently.
- Non-OData API Automation – Work with non-OData APIs for seamless backend automation.
- ECC / Non-S/4HANA Screen Automation – Automate legacy #SAP ECC and non-S/4HANA screens
- Custom Transaction Automation – Streamline execution of custom transactions with AI-driven automation.
References:
https://sap-voyager.github.io/