# Generative AI that turns days of government research into minutes

> A UK government department · Public Sector

QuantSpark built a generative-AI research application for a UK government department, letting staff search, generate and summarise large volumes of international documents, resolutions and records. Work that once took up to 10 hours per query was reduced to minutes.

## At a glance

- **1-2 days** research time saved per typical query

## What was the problem?

The department needed to research large volumes of international documents, resolutions and records to support policy and analytical staff. The data was spread across multiple disparate databases with no unified view, and answering a single research question could take up to 10 hours of manual work. Finite specialist resource was consumed by low-value data gathering rather than higher-value analysis, and incomplete research left teams at a disadvantage.

## What did QuantSpark do?

QuantSpark configured its Intelligence Platform software against the department's defined data sources to create a web application through which staff can search, generate and summarise information using large language model (LLM) and natural language processing (NLP) techniques. Delivery ran through discovery, configuration, productionisation and implementation, with focus-group user discovery and agile, iterative delivery. The high-level design was built on Azure (Data Factory, Databricks, Data Lake Gen2, AI Search) using a medallion data architecture. The team worked through technical obstacles to deploy the web application inside the department's secure environment and trained users to drive adoption.

## What changed?

Once deployed, the tool saved approximately 1-2 days of research time per typical query: work that once took up to 10 hours was reduced to minutes. It generated a searchable database estimated to take an analyst 10 years to read manually, increased confidence in briefing materials and strengthened the department's ability to counter misinformation. These are evidenced pilot outcomes as stated in the pilot concluding report.

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