AI case study

National Agency for EducationReport analysis

Manual extraction took 4 hours per report. Now, AI ingests 3,000 unstructured files to score schools on 14 specific KPIs.

Published

Key results

Saved Per Report
~4 hours
vs manual extraction
Productivity Boost
99%

Result highlights

Unlock 2 result highlights

Where AI sits in the process

Where AI sits in this process. Unlock to see each step. AI PEOPLE Enaroti Enarotis Enarot Enarotiscl
Unlock the 4 steps

The story

Context

A national public administration body monitors Lithuania's education system by collecting annual management reports from thousands of schools and municipalities.

Challenge

Analysts faced an unsustainable workload processing 3,000 annual reports containing unstructured data across various file types. Extracting raw data...

Solution
Unlock full story

Quotes

Unlock 1 more quote

The company

National Agency for Education logo

National Agency for Education

nsa.smsm.lt

Lithuanian government agency managing educational quality, assessment, and curriculum.

IndustryGovernment & Public Sector
LocationVilnius, Lithuania
Employees251-1K
Founded2019

The implementation partner

Role in this case study

Built an AI-enriched automation solution to extract and analyze school report data for NAE.

IndustryTechnology
LocationVilnius, Lithuania
Employees1-10
Founded2012

The vendor

Enterprise technology and consulting for cloud computing, AI, and business solutions.

IndustryTechnology
LocationArmonk, New York, United States
Employees100K+
Founded1911

Use case

National Agency for Education's Report analysis is part of this use case:

Data Extraction
109 case studies(+27% YoY)
Proven impact?
Average
4.0Typical
4.0Typicalwithin Government & Public Sector
4.0Typicalwithin Knowledge Management

Similar Case Studies

Related implementations across industries and use cases

134 AI case studies in Data Extraction

106 AI case studies in Government & Public Sector

353 AI case studies in Knowledge Management