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Conversational AI Assistant for SAPGUI Archived & Online Data Reporting Toolkit — ask questions in plain language and get your SAP records, right inside SAP GUI.
Accessing archived & online SAP data traditionally presents a steep technical barrier and limitation for business users. To retrieve historical records, users must know specific archive object names, technical table-field names, and complex SAP transaction codes. This heavy reliance on IT teams and functional consultants creates significant operational bottlenecks, delays business decision-making, and limits the usability of archived information. Because the data is locked behind technical frameworks, organizations struggle to extract long-term value, trends, or insights from their historical assets.
ARiA (Archive Retrieval and Intelligent Assistant) transforms online & archived SAP data access by introducing a modern, AI-powered conversational interface. Designed specifically for business users, ARiA eliminates the need for technical expertise, transaction codes, or archive object knowledge—allowing users to search, retrieve, and analyze online & archived records simply by asking questions in plain, natural language. ARiA drastically improves the user experience with online & archived data and its analytics capabilities right within SAPGUI via transparent introduction of AI.
ARiA offers data flow control through two distinct operating modes. This feature is important for the corporations who are sensitive of controlling the sharing of their proprietary data with AL models:
Focuses purely on fast, secure data retrieval. In this mode, online & archived data remains strictly within the SAP environment and is not shared with the AI Agent, ensuring maximum data security.
Unlocks deeper business intelligence by allowing the AI Agent to process the retrieved data. In this mode, ARiA generates business insights, summarizes complex records, identifies trends, and answers analytical questions.
The system includes a Job Management Agent configured to automate administrative tasks via conversational text. This agent serves as a conversational interface for transaction code SARA environment, replacing the need for complex manual configuration of sequential steps or events.
The AI agent is configured to translate commands such as “Schedule a Pre-Processing Finance document job for variant VAR_001 for tonight” or “Cancel the current active Write job of sales documents” into actionable operational parameters. These parameters are then executed via ADK-compliant background processing routines. This reduces the operational barrier for data lifecycle management and enables IT teams to manage archive operations with significantly lower training requirements.
The system includes a Job Management Agent configured to automate administrative tasks via conversational text. This agent serves as a conversational interface for transaction code SARA environment, replacing the need for complex manual configuration of sequential steps or events.
The AI agent is configured to translate commands such as “Schedule a Pre-Processing Finance document job for variant VAR_001 for tonight” or “Cancel the current active Write job of sales documents” into actionable operational parameters. These parameters are then executed via ADK-compliant background processing routines. This reduces the operational barrier for data lifecycle management and enables IT teams to manage archive operations with significantly lower training requirements.
The system includes a Job Management Agent configured to automate administrative tasks via conversational text. This agent serves as a conversational interface for transaction code SARA environment, replacing the need for complex manual configuration of sequential steps or events.
The AI agent is configured to translate commands such as "Schedule a Pre-Processing Finance document job for variant VAR_001 for tonight" or "Cancel the current active Write job of sales documents" into actionable operational parameters. These parameters are then executed via ADK-compliant background processing routines. This reduces the operational barrier for data lifecycle management and enables IT teams to manage archive operations with significantly lower training requirements.
ARiA offers data flow control through two distinct operating modes. This feature is important for the corporations who are sensitive of controlling the sharing of their proprietary data with AL models:
ARIA offers data flow control through two distinct operating modes. This feature is important for the corporations who are sensitive of controlling the sharing of their proprietary data with AL models:
Focuses purely on fast, secure data retrieval. In this mode, online & archived data remains strictly within the SAP environment and is not shared with the AI Agent, ensuring maximum data security.
Unlocks deeper business intelligence by allowing the AI Agent to process the retrieved data. In this mode, ARIA generates business insights, summarizes complex records, identifies trends, and answers analytical questions.
The major drawback of traditional tools is the development of new roles and their maintenance efforts. ARiA flexibly uses existing security framework which avoids creation of massive nos. of new roles and profiles. Management can decide and provision what type of data can be accessible to user group/teams via configuration. The re-use of existing framework lowers the Total cost of ownerships and simplifies the operations.
ARiA is scalable to meet exact user specific basic-to-midlevel & ad-hoc reporting requirements. The users can configure to pick-and-choose the fields to be extracted from the online & archived data or use a generic template. This feature empowers them to exactly fulfil their reporting obligations. This is one of the best applications of AI to simplify the business reporting aspects. The feature to introduce a native-language interaction to operate SAP, will revolutionize and simplify SAP operations in general.
Besides basic configuration (like any standard tool), ARiA can be used by conversant SAP business users on the same day or installation. The chatbot provides an similar experience to a webpage question/query within SAP Gui. The operation is no different than using a text application or a web browser. The tool is so simple that is can be operationalized on the same day of installation.
ARiA and underlying AI components interpret user requests and provides the intended online & archived data without any new development, testing, and deployment overhead. This framework is not only clean core compliant but it also eliminates the expensive report development & maintenance lifecycle. The information can be displayed instantaneously directly in productive system without new reports, development specs, testing, interfaces, and other formalities.
ARiA provides customers with a choice to select AI data models - Google / Gemini and ChatGPT. Each model has its own training algorithm and behaves accordingly. Additional models are also actively tested and deployed in the future.
Since ARiA processes historical data, the volume may be significant at times. The tool is designed to process large data sets when the session memory is exhausted. The tool automatically switches to safe mode and stores the retrieved data to a local file that can be displayed later via separate viewer.
ARiA bridges the gap between complex SAP tables/structures and everyday business needs. By converting natural language requests into instant database queries, ARiA accelerates data retrieval, reduces dependency on IT support, and empowers business users with actionable insights from historical records.
We would love to show you how ARiA can streamline your SAP online/archive retrieval and unlock the full potential of AI for historical data. Let’s schedule a brief call with our technical team to discuss your specific SAP environment and walk through a live demonstration.
Accessing archived & online SAP data traditionally presents a steep technical barrier and limitation for business users. To retrieve historical records, users must know specific archive object names, technical table field names, and complex SAP transaction codes. This heavy reliance on IT teams and functional consultants creates significant operational bottlenecks, delays business decision-making, and limits the usability of archived information. Because the data is locked behind technical frameworks, organizations struggle to extract long-term value, trends, or insights from their historical assets.
ARIA (Archive Retrieval and Intelligent Assistant) transforms online & archived SAP data access by introducing a modern, AI-powered conversational interface. Designed specifically for business users, ARIA eliminates the need for technical expertise, transaction codes, or archive object knowledge—allowing users to search, retrieve, and analyze online & archived records simply by asking questions in plain, natural language. ARIA drastically improves the user experience with online & archived data and its analytics capabilities right within SAPGUI via transparent introduction of AI.
Focuses purely on fast, secure data retrieval. In this mode, online & archived data remains strictly within the SAP environment and is not shared with the AI Agent, ensuring maximum data security.
Unlocks deeper business intelligence by allowing the AI Agent to process the retrieved data. In this mode, ARIA generates business insights, summarizes complex records, identifies trends, and answers analytical questions
The major drawback of traditional tools is the development of new roles and their maintenance efforts. ARIA flexibly uses existing security framework which avoids creation of massive nos. of new roles and profiles. Management can decide and provision what type of data can be accessible to user group/teams via configuration. The re-use of existing framework lowers the Total cost of ownerships and simplifies the operations.
ARIA is scalable to meet exact user specific basic-to-midlevel & ad-hoc reporting requirements. The users can configure to pick-and-choose the fields to be extracted from the online & archived data or use a generic template. This feature empowers them to exactly fulfil their reporting obligations. This is one of the best applications of AI to simplify the business reporting aspects. The feature to introduce a native-language interaction to operate SAP, will revolutionize and simplify SAP operations in general.
Besides basic configuration (like any standard tool), ARIA can be used by conversant SAP business users on the same day or installation. The chatbot provides an similar experience to a webpage question/query within SAP Gui. The operation is no different than using a text application or a web browser. The tool is so simple that is can be operationalized on the same day of installation.
ARIA and underlying AI components interpret user requests and provides the intended online & archived data without any new development, testing, and deployment overhead. This framework is not only clean core compliant but it also eliminates the expensive report development & maintenance lifecycle. The information can be displayed instantaneously directly in productive system without new reports, development specs, testing, interfaces, and other formalities.
ARIA provides customers with a choice to select AI data models – Google / Gemini and ChatGPT. Each model has its own training algorithm and behaves accordingly. Additional models are also actively tested and deployed in the future.
Since ARIA processes historical data, the volume may be significant at times. The tool is designed to process large data sets when the session memory is exhausted. The tool automatically switches to safe mode and stores the retrieved data to a local file that can be displayed later via separate viewer.
ARIA bridges the gap between complex SAP tables/structures and everyday business needs. By converting natural language requests into instant database queries, ARIA accelerates data retrieval, reduces dependency on IT support, and empowers business users with actionable insights from historical records.
We would love to show you how ARIA can streamline your SAP online/archive retrieval and unlock the full potential of AI for historical data. Let’s schedule a brief call with our technical team to discuss your specific SAP environment and walk through a live demonstration.
| Feature / Metric | Technical Specification |
|---|---|
| Supported SAP Versions | SAP ECC 6.0 (EHP0-EHP8), S/4HANA (All Releases), CRM, SRM |
| Deployment Type | Transport Request / ABAP Add-On Installation |
| Core Compliance | 100% Clean Core Compliant (Zero core modification) |
| Data Types Handled | Active Database Tables, ADK Archives, Custom Tables, BLOBs |
| Hardware Overhead | Minimal; dynamic allocation based on available system processes |
Get in touch with our certified SAP engineers to schedule a live demo or technical assessment.
