Four steps to efficiency
From document burden to intelligent generation. A flow designed for procurement technicians who value their time.
Upload your document history
Connect LicitadIA with your existing repositories: SharePoint, Nextcloud, local folders. The platform automatically indexes all your historical tender documentation.
Define the tender
Complete a simple form with basic tender data: document type, subject, CPV, procedure, and amount. LicitadIA immediately understands the context.
Generate the draft
The RAG system retrieves the most relevant documents from your history and, combined with the form information, generates a complete and coherent draft in minutes.
Review and adjust
The generated document is an intelligent draft, not a final product. Edit it freely, request specific changes from the conversational assistant, and export when satisfied.
RAG: Retrieval-Augmented Generation
LicitadIA uses RAG architecture that combines the best of information retrieval and natural language generation. It's not a generic chatbot: it accesses your real knowledge.
Vector base
Your documents are converted into numerical embeddings that capture their semantic content. This allows finding documents by meaning, not just keywords.
Retriever
Upon a query, the system searches the vector base for the most similar fragments. Uses cosine similarity for relevance ranking.
Generator
An LLM receives the query plus retrieved documents and generates coherent text, implicitly citing the style and structure of precedents.
Measurable impact
AI doesn't just speed things up—it improves the quality and consistency of administrative documentation.
The next step is clear
Seeing the process in action changes perception. Schedule a live demo and discover how these 4 steps translate into real time savings and risk reduction.