Corporate intelligence, legal & healthcare

Government sector

RAG-based enterprise knowledge assistant

Measured results

−80%
research and retrieval time

Source: Epsilon AI Success Stories & Project Highlights, Ver. 3 — 15 October 2025, page 11

The problem

Finding an answer meant knowing which department held the document. Retrieval across the organisation was the bottleneck, not the analysis that followed it.

What was built

An assistant over large-scale multilingual document collections, returning answers grounded in the retrieved source rather than generated from memory. This engagement is the lineage RAG.INS was built from.

Technical approach

Retrieval-augmented generation: Retrieved passages constrain the answer, and the citation travels with it.
Document processing: OCR pipelines handling structured and unstructured material together.
Semantic search: Vector embeddings for indexing across departmental boundaries.
Enterprise integration: Secure connections into existing BI, CRM and internal systems.

Measurement framework

Deployment evidence is drawn from the published engagement. The delivery and measurement plans are case-specific recommendations grounded in the documented solution and results.

Evidence status: The source documents a production knowledge assistant operating inside the government entity's infrastructure across multilingual document collections.
Indicative delivery plan: Inventory approved documents and permissions, build ingestion and indexing pipelines, validate a representative query set and citations, complete security review, then roll out by department.
Recommended baseline: Recommended: median elapsed time from a representative staff question to a source-confirmed answer before deployment, sampled across departments, languages and document types.
Recommended measurement method: Repeat the same approved query set after deployment. Measure time to a verified source, citation correctness and answer completeness, and separately test that permission boundaries prevent retrieval from restricted collections.

Recommended items are not presented as the original study method. They should be replaced with the confirmed project methodology when the underlying records are approved for publication.

The product this became Request a tailored case brief