Case Study
Digital Contract Twin: AI-powered Solution for Contract Standardization
Solving data discrepancies across 100+ countries
A global healthcare company was losing millions each year due to data mismatches between SAP systems and physical service contracts. Siemens Advanta stepped in with a tailored AI solution: a digital contract twin powered by three integrated engines for extraction, mapping, and semantic search. The result is smarter contract management, improves billing accuracy, and significant cost savings.
The client issues numerous service contracts annually for their medical equipment across more than 100 countries. Frequent data discrepancies arise between their SAP system and physical contracts.
A seven-figure annual loss results from incorrect service delivery due to data inconsistency issues.
- Workshops with both business and technical stakeholders to identify the root causes of the issues
- AI solution development featuring three integrated engines to improve contract consistency:
- Extraction Engine that extracts and standardizes data from physical contracts
- Advanced Mapping Engine that compares and highlights inconsistencies in contracts
- Semantic Search Engine that offers rapid insights into structured contract data
- Enhanced audit coverage and efficiency with automated contract scanning
- Improved customer experience through higher data quality and fewer billing issues
- Estimated 7-digit savings each year by minimizing wastage from over-delivery
Our industry leader
Please reach out to our colleague for more information.
Ulli Waltinger is the Vice President for Artificial Intelligence & IoT at Siemens Advanta and a Fellow of the Siemens AI Lab. He advances AI and IoT technologies, promotes interdisciplinary research, and has led key AI initiatives, including founding the Siemens AI Lab in Munich. He has over 40 publications and more than 100 talks.
Dr. Ulli Waltinger
Artificial Intelligence Global
Contact Us