Service · AI document search
Build a private search and question-answering layer over company files, PDFs, policies, project documents, OneDrive, SharePoint, and internal knowledge.
Important answers are often spread across PDFs, folders, old proposals, manuals, contracts, email attachments, OneDrive libraries, and SharePoint sites.
A good AI document system does not just throw a chatbot on top. It ingests files, structures content, indexes it, keeps sources traceable, and gives staff useful answers with references.
Document ingestion from folders, OneDrive, SharePoint, or structured exports
Parsing, chunking, metadata capture, and searchable indexing
RAG-style question answering with source references and auditability
Hybrid search over PDFs, office documents, policies, manuals, and project files
Maintenance workflows so changed documents are reprocessed instead of going stale
The audit starts with the documents your team uses and the questions they repeatedly answer. We agree which libraries to include, which files to exclude and who should be able to access each source. A poorly organised OneDrive or SharePoint library may need preparation before search is added.
We then choose representative questions and check that each answer points to the right document. Missing, unreadable or outdated sources need to be flagged. The system should say when it lacks enough information instead of inventing an answer.
This service focuses on finding answers in existing company documents. If the bottleneck is collecting, synchronising or processing files, start with document automation and ingestion workflows. To connect those processes to other business tools, explore n8n workflow consulting.
Next step
If your useful knowledge is buried in folders, I can map the sources, design the retrieval layer, and tell you what is worth automating first.