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Accessing the collection required deciphering old handwriting and outdated Dutch, making valuable historical records effectively inaccessible to the...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Amsterdam City Archives's Historical document search is part of this use case: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.
Records scattered across paper and platforms slowed every patient encounter. Now doctors navigate a billion-record system in plain language.
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Staff manually combed 350K+ documents scattered across legacy SharePoint. Now, AI semantic search instantly retrieves exact answers.
Task-by-task, manual mapping couldn't keep pace with national recovery targets. AI now maps peatlands and tracks restoration across England.
600+ daily calls, 30-min waits, 70% abandoned. CORA now resolves half autonomously—staff handle what only humans can.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
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Accessing the collection required deciphering old handwriting and outdated Dutch, making valuable historical records effectively inaccessible to the...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.
Records scattered across paper and platforms slowed every patient encounter. Now doctors navigate a billion-record system in plain language.
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Staff manually combed 350K+ documents scattered across legacy SharePoint. Now, AI semantic search instantly retrieves exact answers.
Task-by-task, manual mapping couldn't keep pace with national recovery targets. AI now maps peatlands and tracks restoration across England.
600+ daily calls, 30-min waits, 70% abandoned. CORA now resolves half autonomously—staff handle what only humans can.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.