City of Lohja
Internal knowledge search
As the document archive grew, keyword search couldn't keep up. A chatbot now answers most HR and ICT queries by meaning, not just keywords.
- ~85% of support questions answered by AI chatbot
Deciphering 50km of records required specialized historians. Agentic AI now lets the public query 750 years of history in plain language.
A municipal archive preserves 750 years of urban history across 50 kilometers of physical documents, including millions of maps, letters, and registers.
Accessing the collection required deciphering old handwriting and outdated Dutch, making valuable historical records effectively inaccessible to the...
“What has been in the dark for centuries can finally come to light. From archive to public, for the people.”
Municipal archive and historical repository for the city of Amsterdam.
Provided Microsoft Azure AI Foundry, AI Search, and Agent Framework to power the chatbot's AI.
Amsterdam City Archives's Historical document search is part of this use case:
Related implementations across industries and use cases
As the document archive grew, keyword search couldn't keep up. A chatbot now answers most HR and ICT queries by meaning, not just keywords.
Scientists spent half a day digging through 50 years of scattered files. Now, an AI assistant retrieves past experiments in minutes.
Manual data entry consumed 80% of staff time. Now, AI extracts form data and fields inquiries, freeing agents to handle complex cases.
Scientists spent half a day digging through 50 years of scattered files. Now, an AI assistant retrieves past experiments in minutes.
Staff manually combed 350K+ documents scattered across legacy SharePoint. Now, AI semantic search instantly retrieves exact answers.
Staff reconciled spending line-by-line across scattered systems. Now, they use AI to automate the process and query data in plain English.
Scattered histories forced citizens to retell their story at each contact. Júlia now handles intake 24/7; AI preps cases for defenders.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
Deciphering 50km of records required specialized historians. Agentic AI now lets the public query 750 years of history in plain language.
A municipal archive preserves 750 years of urban history across 50 kilometers of physical documents, including millions of maps, letters, and registers.
Accessing the collection required deciphering old handwriting and outdated Dutch, making valuable historical records effectively inaccessible to the...
“What has been in the dark for centuries can finally come to light. From archive to public, for the people.”
Municipal archive and historical repository for the city of Amsterdam.
Provided Microsoft Azure AI Foundry, AI Search, and Agent Framework to power the chatbot's AI.
Amsterdam City Archives's Historical document search is part of this use case:
Related implementations across industries and use cases
As the document archive grew, keyword search couldn't keep up. A chatbot now answers most HR and ICT queries by meaning, not just keywords.
Scientists spent half a day digging through 50 years of scattered files. Now, an AI assistant retrieves past experiments in minutes.
Manual data entry consumed 80% of staff time. Now, AI extracts form data and fields inquiries, freeing agents to handle complex cases.
Scientists spent half a day digging through 50 years of scattered files. Now, an AI assistant retrieves past experiments in minutes.
Staff manually combed 350K+ documents scattered across legacy SharePoint. Now, AI semantic search instantly retrieves exact answers.
Staff reconciled spending line-by-line across scattered systems. Now, they use AI to automate the process and query data in plain English.
Scattered histories forced citizens to retell their story at each contact. Júlia now handles intake 24/7; AI preps cases for defenders.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.