Manual extraction took 4 hours per report. Now, AI ingests 3,000 unstructured files to score schools on 14 specific KPIs.
A national public administration body monitors Lithuania's education system by collecting annual management reports from thousands of schools and municipalities.
Analysts faced an unsustainable workload processing 3,000 annual reports containing unstructured data across various file types. Extracting raw data...
“This innovative project would not have been possible without S2P’s dedication and expertise.”
Lithuanian government agency managing educational quality, assessment, and curriculum.
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Built an AI-enriched automation solution to extract and analyze school report data for NAE.
Related implementations across industries and use cases
Staff spent two days manually hunting for legal codes. Secure AI agents now cross-reference millions of documents in two minutes.
Conflicting job titles slowed agency collaboration. AI now maps natural language descriptions to standardized profiles instantly.
Undocumented 1990s systems made upgrades risky. AI reverse-engineered decades of legacy code to map architectures and build modern APIs.
Staff spent 3 hours interpreting text per case. An LLM now classifies goods and validates declarations in seconds.
Complex math and chemical structures bottlenecked transcriptions. A fine-tuned OCR model now structures this data into ST36 XML.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Auditors spent 10 months reviewing boxes of invoices. AI now reconciles the data in hours, freeing staff to investigate anomalies.
Silos forced a 71-day wait for data. By unifying sources, 4,000 staff now access insights in hours and build models 50% faster.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Manual extraction took 4 hours per report. Now, AI ingests 3,000 unstructured files to score schools on 14 specific KPIs.
A national public administration body monitors Lithuania's education system by collecting annual management reports from thousands of schools and municipalities.
Analysts faced an unsustainable workload processing 3,000 annual reports containing unstructured data across various file types. Extracting raw data...
“This innovative project would not have been possible without S2P’s dedication and expertise.”
Lithuanian government agency managing educational quality, assessment, and curriculum.
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Built an AI-enriched automation solution to extract and analyze school report data for NAE.
Related implementations across industries and use cases
Staff spent two days manually hunting for legal codes. Secure AI agents now cross-reference millions of documents in two minutes.
Conflicting job titles slowed agency collaboration. AI now maps natural language descriptions to standardized profiles instantly.
Undocumented 1990s systems made upgrades risky. AI reverse-engineered decades of legacy code to map architectures and build modern APIs.
Staff spent 3 hours interpreting text per case. An LLM now classifies goods and validates declarations in seconds.
Complex math and chemical structures bottlenecked transcriptions. A fine-tuned OCR model now structures this data into ST36 XML.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Auditors spent 10 months reviewing boxes of invoices. AI now reconciles the data in hours, freeing staff to investigate anomalies.
Silos forced a 71-day wait for data. By unifying sources, 4,000 staff now access insights in hours and build models 50% faster.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.