RAG and document intelligence

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.

  • Hybrid retrieval for precise search and semantic context
  • Topic-specific extraction of relevant clauses, risks and metadata
  • Traceable outputs with source references for review and approval

AI-driven business intelligence and data analysis

Natural-language data access and AI-supported analytics that turn ERP, CRM, Excel and SQL data into useful answers, queries and management summaries.

  • Text-to-SQL solutions for operational and analytical data sources
  • AI-enhanced dashboards built around real business questions
  • Automated summaries for management, sales and controlling

Intelligent process automation

AI-supported automation for workflows that are still manually classified, routed, extracted or documented — combined with workflow tools and tailored Python-based components.

  • Email, document and enquiry triage
  • Structured extraction from unstructured inbound material
  • Integration into CRM, approval and case-handling workflows

Technical delivery and bespoke AI solutions

From requirement analysis to a production-oriented MVP: implementation of AI applications with focus on maintainability, evaluability and business value.

  • Architecture over showpiece demos
  • Validation with real documents, data and workflow steps
  • Documentation, handover and structured iteration

Typical use cases

  • Review and analysis of lengthy contracts, policies and technical records
  • Natural-language access to ERP, CRM, Excel and SQL data
  • Automation of enquiry, email, document and triage workflows
  • Management summaries, review support and structured decision inputs

Working style

The emphasis is on robust and maintainable delivery: clear use-case definition, early prototypes with real data, structured quality assessment and technical handover that can be carried forward inside the business.

Wirsdorf Consult

Do you already have a concrete use case?

It is usually possible to assess quite quickly whether a RAG workflow, a text-to-SQL solution, an extraction pipeline or another AI-based process is the right fit.

Discuss a project