Energy
ib vogt is a global solar energy company with thousands of technical documents scattered across SharePoint—installation specs, compliance guides, engineering calculations, regulatory filings. Engineers were spending hours searching for the right document, sometimes giving up entirely. Built an AI-powered search system integrated with Microsoft Teams and Copilot that finds exactly what they need in seconds, understanding natural language queries and surfacing the most relevant results from their entire document library.
With operations spanning multiple countries and decades of accumulated documentation, finding the right technical document was a major productivity drain. Engineers needed specific installation specs, compliance requirements, or past project data but had no way to search effectively. The existing SharePoint search was keyword-based and missed relevant documents constantly. Some searches took 3+ hours, and critical information was often never found at all.
Built an intelligent document search system using Azure AI Search integrated directly into Microsoft Teams via Copilot. The system indexes their entire SharePoint library, understands natural language queries like 'solar panel specs for 50MW projects in Germany,' and returns ranked results with relevance scores. Engineers now find documents in seconds instead of hours, with the AI understanding context and surfacing related documents they didn't even know to search for.
time reduction
Hours
→ seconds
search accuracy
Relevant
results every time
We'll build a working proof of concept for your specific use case. See AI agents execute real tasks in your systems before committing.
Working demo connected to your actual systems
Clear implementation roadmap and timeline
Exact cost estimate and ROI projections