Trustworthy conversational AI starts with well-managed data
Artificial intelligence is only as good as the data it analyzes.
Connecting AI to documents now makes it possible to ask questions in natural language and get answers quickly. But in a professional setting, one key question remains: What information does the AI rely on to provide its answers?
Outdated documents, multiple versions, confidential information, lack of sources… The effectiveness of conversational AI depends directly on the quality and governance of the data it accesses.
This is precisely where the synergy between DINA and ARCADE GED really comes into play.
ARCADE GED provides governed data; DINA provides the intelligence
With ARCADE GED, documents are centralized, structured, and managed throughout their lifecycle. Versions, statuses, metadata, filing plans, and access rights ensure that information is up-to-date, validated, and secure.
DINA coordinates artificial intelligence systems and allows users to query this document corpus easily, using natural language.
This approach is based, in particular, on the principle of RAG (Retrieval-Augmented Generation): before constructing its response, the AI searches for relevant information in the documentary sources made available to it.
The richness of ARCADE GED’s metadata allows us to go a step further: AI can precisely identify the correct document context even before performing its semantic search.
Less noise, more targeted information, and more relevant answers.
Confidential, Relevant, and Traceable AI
The partnership between DINA and ARCADE GED provides three essential guarantees for developing professional applications of AI:
Privacy
: The AI relies on the access rights and scopes defined in ARCADE GED. Users can only access the information they are authorized to view.
Relevance
. The AI works with up-to-date, structured, tagged, and validated documents. Metadata makes it possible to precisely target the information needed for the response.
Traceability
Answers can be linked to their source documents. This allows users to identify the origin of the information and verify it.
Mutual complementarity
ARCADE GED provides DINA with governed data, but AI can also help enrich the GED.
DINA can extract information from a document, summarize it, suggest a classification, structure its data, or enrich its metadata. The knowledge generated by AI is then used to enrich the organization’s document repository.
EDM is therefore no longer just a storage space. It becomes the trusted documentary foundation on which a well-controlled conversational AI can rely.
DINA orchestrates intelligence. ARCADE GED manages data. Together, they make AI more reliable, confidential, and traceable.
