Wirsdorf Consult
Wirsdorf Consult develops AI systems that make real business processes faster, more accessible and more reliable — from RAG-based document review to natural-language data access and automation for specialist teams.
Core services
The focus is on use cases where information access, review or processing still consumes too much time: long-form documents, scattered business data, repetitive manual work and decisions based on fragmented information.
RAG systems and extraction workflows for contracts, policies, technical records and other long-form documents so that critical information becomes searchable, contextualised and ready for review.
Natural-language data access and AI-supported analytics that turn ERP, CRM, Excel and SQL data into useful answers, queries and management summaries.
AI-supported automation for workflows that are still manually classified, routed, extracted or documented — combined with workflow tools and tailored Python-based components.
From requirement analysis to a production-oriented MVP: implementation of AI applications with focus on maintainability, evaluability and business value.
Case study
The case study shows how a local RAG system can support the structured review of extensive construction contracts through traceable retrieval logic, topic-specific extraction and outputs designed for commercial and technical review.
Case study
Development of a locally executable AI system for analysing extensive construction contract packages. The goal was to make commercially and technically critical information across 200 to 300 pages of contractual material easier to locate and review in a structured manner.
In practice, contract packages often consist of the main agreement, specifications, annexes, meeting minutes and additional contractual documents. For estimating, risk analysis and project execution, however, only selected topic areas are truly critical. Manual review is time-consuming, repetitive and prone to oversight.
The solution combines document processing for digital and scanned PDFs, OCR for image-based documents, a hybrid retrieval architecture covering both lexical and semantic search, and topic-specific extraction logic with plausibility and confidence mechanisms. Outputs are transformed into a review-friendly format including context, source locations and an Excel-based review layer.
Even in an early project phase, the system was able to identify key clauses on contract value, retention, daywork rates, guarantees, parent company guarantees, insurance and payment terms with strong quality. Scanned documents also produced usable results despite typical OCR-related degradation.
The solution materially reduces manual screening effort, improves systematic coverage of critical clauses and creates a traceable basis for commercial and technical review decisions. Its modular structure also provides a scalable foundation for additional document types and review topics.
Approach
Strong AI delivery does not come from generic demos. It requires clear problem framing, early validation and implementation aligned with the actual operational workflow.
Joint framing of the business problem, the relevant data or document sources and the quality requirements expected from the final solution.
Rapid development of a robust first system using real documents, data or workflow steps so that the value becomes visible early.
Assessment of output quality, traceability and operational fit together with the relevant review or case-handling workflow.
Structured delivery of a solution that is documented, maintainable and suitable for integration into existing processes.
Wirsdorf Consult
It is often possible to assess quite quickly whether retrieval, text-to-SQL, extraction or an automated workflow is the right technical and operational fit for your use case.
