FileAI's AI Chat turns document repositories into a conversational knowledge layer. Ask in plain English and get source-cited answers in seconds.
Less Document Search Time
Average Query Response
Saved per Consultant / Week
Faster Project Turnaround

A mid-sized consulting firm was losing 2–3 hours per project finding information buried across client folders, contracts and financial documents.
Consultants browsed folders and opened files one by one.
Information stayed buried across client folders.
Time lost searching pushed back project outputs.
Querying a growing document base became harder.
AI Chat turns document repositories into a conversational knowledge layer, giving grounded answers with source references.
Ask questions in plain English instead of navigating folders.
Semantic search across documents, with references, links and relevant excerpts.
Query PDFs, Word documents, Excel sheets, presentations and more.
Multi-tenant isolation and permission-aware document retrieval.
AI Chat changes the role of a DMS from a place where teams store files into a place where teams can actively query and understand their information.
Client NPS improvement
Billable utilisation, more projects without proportional hiring
Document volume scaled without proportional overhead
Faster access to comprehensive information supports more thorough analysis.
A look inside the interfaces.
AI Chat Bot
AI Chatbot on Every Page
AI Chatbot Searches Files & Folders
Direct File & Folder Links in Chat
How AI Chat turns a question into a cited answer.
Documents are added to FileAI.
The user asks a natural-language question.
Relevant information is retrieved using semantic and full-text search.
AI synthesizes the answer and provides source documents for verification.
Conversation history supports follow-up questions and future reference.
Evolvan designed and engineered FileAI's AI Chat end to end, from semantic retrieval to permission-aware, source-cited answers.
Vector embeddings (Cohere/OpenAI) stored in pgvector.
Semantic and full-text search combined to retrieve relevant context.
An intelligent agent orchestrator generates grounded, cited responses.
Folder permissions and multi-tenant isolation respected on every query.