AI readiness starts in the SAP system

E3: What was the key strategic driver for the acquisition of Bluetelligence - and why is SAP metadata management in particular the next logical step in the development of Theobald Software? 

Michael Bässler, Theobald Software: Theobald Software has been the leading specialist for seamless SAP integration since 2004 and enables over 1700 active customers from all industries to use SAP data in almost any third-party system, whether on-premises or in the cloud. Bluetelligence brings 17 years of market expertise in automated documentation, analysis, data lineage, migration, translation and cataloging of SAP metadata. The key strategic driver was the realization that excellent SAP integration alone is not enough.
is sufficient. Anyone transferring SAP data from one system to another also needs to know what this data means, where it comes from and what context it is in. Specifically, Theobald Software provides the semantic layer with the semantic information of the SAP data, while Bluetelligence's metadata management provides the structured information on origin, context and dependencies. Bluetelligence is the market leader in this area and offers specialized solutions for the automated analysis and maintenance of SAP metadata. This specialization completes Theobald Software's core business by underpinning the semantic level with structured metadata knowledge. SAP metadata management is the next logical step because customer requirements have shifted: It is no longer just about moving data, but making it intelligently usable. Anyone who takes data quality, governance and AI readiness seriously needs structured knowledge about their SAP content, and it is precisely this semantic knowledge that the combination of integration and metadata delivers.

E3: Many companies struggle with a lack of transparency and documentation in complex SAP landscapes. How does the combination of SAP integration and metadata management actually change the day-to-day work of SAP architects, data engineers and specialist departments? 

Bässler: Accessing and extracting SAP data remains a significant challenge for analytical use cases. The available options are limited and their implementation requires in-depth technical expertise - a bottleneck that regularly slows down rapid implementations. For SAP architects, the combination of integration and metadata management means that complex system landscapes are fully documented and analyzable for the first time, not on the basis of manual maintenance, but automatically. Data engineers benefit from the fact that they not only build pipelines, but also immediately understand which SAP objects, fields and dependencies are relevant. In addition, customers can explore SAP data and its relationships in understandable business language, making SAP data access manageable even for non-technicians, while integrated governance functions measurably improve data quality and transparency. For the first time, business departments have true autonomy: instead of having to wait for the IT department, they can understand key figures, reports and data origins themselves. Bluetelligence's web-based Enterprise Glossary already supports departments in managing and maintaining key figures and reports independently. The MCP server from Theobald Software further expands these possibilities: it connects AI agents directly with SAP systems, because AI use cases only provide real added value if the database is correct. The combination of reliable integration and structured metadata management creates precisely this basis.

E3: The SAP environment is characterized by specialized tools for integration, governance and analytics. Where do you see the decisive differentiating factor after the merger compared to classic ETL, data governance or SAP ALM solutions? 

Bässler: The combination of Theobald Software and Bluetelligence brings together two specialized companies that are considered market leaders in their respective niches. The result is an end-to-end offering that covers the entire spectrum from the discovery and analysis of SAP data, including data lineage and data quality, to the actual extraction and integration into target systems. Traditional ETL tools move data, but do not care about its meaning and origin. Data governance platforms from the general market capture SAP metadata conceptually, but do not have the deep SAP-native connectivity that is essential for business-critical scenarios. SAP's own ALM tools cover system-side lifecycles, but are not a bridge to the BI and analytics world. The Metadata API is a particularly unique selling point: it enables SAP metadata extraction at a very detailed level and is already being used as an OEM component in several well-known catalog solutions to connect them to the BI and analytics world.
in-depth SAP system knowledge. Theobald Software with Bluetelligence is the only offering that delivers SAP integration and SAP metadata management from a single source - with proven depth in both disciplines and a customer base that includes the majority of DAX companies.

“It's no longer just about moving data, but making it intelligently usable.”

Michael Bässler,
Chief Product and Technology Officer,
Theobald Software

E3: In the press release, you emphasize the growing importance of artificial intelligence. What role will structured SAP metadata play in the future as a foundation for automated processes, trustworthy AI models and data-driven decisions??

Bässler: The combination of seamless SAP integration and in-depth metadata management creates a new dimension of data transparency. This enables companies to use their SAP data more effectively through more intelligent automation, seamless documentation and targeted analysis. This is particularly important in view of the growing requirements of artificial intelligence. AI models are only as trustworthy as the data on which they are based. And data from SAP systems can only be used reliably if it is clear what it represents - what calculation logic is behind a key figure, what transformations it has undergone, what dependencies exist. Structured SAP metadata provides precisely this context. The optimal availability and usability of data form the basis for data-driven decisions and the successful use of AI. Data products are a central component of this usability: professionally curated, quality-assured and semantically enriched data records that are available to other teams as reusable assets. Through the combination of integration and metadata management, such data products can not only be provided, but also continuously documented, versioned and monitored for quality. In concrete terms, this means that automated processes can use SAP metadata to independently configure data pipelines, detect anomalies and track changes in SAP systems. For AI-supported applications in finance, supply chain or HR, a robust metadata foundation is not an option, but a prerequisite. 

E3: What does the technical and organizational integration of Bluetelligence look like, and what product or innovation steps can customers expect in the medium to long term?

Bässler: Torsten Schmidt, founder and former CEO of Bluetelligence, will remain with the company in an active and advisory capacity. This continuity in personnel is no coincidence, but rather a program: Bluetelligence's SAP metadata expertise is to be fully integrated into Theobald-
Group will not be diluted by an acquisition on paper. The combination of seamless SAP integration and specialized metadata management opens up a new level of data transparency. Companies benefit from a holistic portfolio that enables intelligent automation, structured documentation and in-depth analysis of their SAP data - and thus lays the foundation for well-founded, data-driven decisions. In the medium term, the focus will be on deeper technical integration of the two companies' products: metadata from Bluetelligence will make Theobald Software's data extraction solutions more intelligent. In the long term, the joint goal is to further expand technology leadership in the SAP environment and offer customers practical solutions that measurably increase transparency, efficiency and data intelligence. The implementation of AI-supported approaches in the joint product portfolio plays a key role in this. (pmf, source: Theobald Software)