Almirall
Research document search
Scientists spent half a day digging through 50 years of scattered files. Now, an AI assistant retrieves past experiments in minutes.
- ~80% accurate query resolution (user-reported)
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Accessing the collection required deciphering old handwriting and outdated Dutch, making valuable historical records effectively inaccessible to the...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Amsterdam City Archives's Historical document search is part of this use case: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
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.
Staff manually combed 350K+ documents scattered across legacy SharePoint. Now, AI semantic search instantly retrieves exact answers.
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.
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
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
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.
Staff manually combed 350K+ documents scattered across legacy SharePoint. Now, AI semantic search instantly retrieves exact answers.
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.
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.