Site queries returned generic links requiring manual searches. Now, an AI agent instantly delivers personalized schedules via backend API.
The second-largest city in Canada serves over 1.7 million citizens and manages a public website containing 40,000 pages of information that receives 50,000 daily visitors.
Citizens struggled to quickly find specific information, as inquiries about waste collection or public facilities only returned generic links...
“The idea of developing a virtual assistant for our citizens was already part of our responsible AI integration strategy and Microsoft Copilot Studio definitely helped accelerate that plan.”
Municipal government and public services provider for the city of Montreal.
Enterprise software, cloud infrastructure, and consumer electronics platform.
City of Montréal's Citizen support is part of this use case:
Related implementations across industries and use cases
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Complex rules held agents to 4-minute responses. An AI assistant now retrieves policy data to answer citizens in 3 seconds.
Rigid menus bottlenecked 3,000 daily calls. An AI agent now fields overflow instantly, resolving complex queries in any language.
Complex rules held agents to 4-minute responses. An AI assistant now retrieves policy data to answer citizens in 3 seconds.
Citizens struggled to navigate complex city departments. Now, an AI answers routine queries, freeing staff for complex, face-to-face care.
Deciphering 6M lines of 1970s code delayed modernization. Now, AI translates legacy logic into plain English for IT teams to validate.
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Rigid "press 1" phone trees bottlenecked global support. Now, localized AI agents guide complex step-by-step blind installations.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Site queries returned generic links requiring manual searches. Now, an AI agent instantly delivers personalized schedules via backend API.
The second-largest city in Canada serves over 1.7 million citizens and manages a public website containing 40,000 pages of information that receives 50,000 daily visitors.
Citizens struggled to quickly find specific information, as inquiries about waste collection or public facilities only returned generic links...
“The idea of developing a virtual assistant for our citizens was already part of our responsible AI integration strategy and Microsoft Copilot Studio definitely helped accelerate that plan.”
Municipal government and public services provider for the city of Montreal.
Enterprise software, cloud infrastructure, and consumer electronics platform.
City of Montréal's Citizen support is part of this use case:
Related implementations across industries and use cases
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Complex rules held agents to 4-minute responses. An AI assistant now retrieves policy data to answer citizens in 3 seconds.
Rigid menus bottlenecked 3,000 daily calls. An AI agent now fields overflow instantly, resolving complex queries in any language.
Complex rules held agents to 4-minute responses. An AI assistant now retrieves policy data to answer citizens in 3 seconds.
Citizens struggled to navigate complex city departments. Now, an AI answers routine queries, freeing staff for complex, face-to-face care.
Deciphering 6M lines of 1970s code delayed modernization. Now, AI translates legacy logic into plain English for IT teams to validate.
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Rigid "press 1" phone trees bottlenecked global support. Now, localized AI agents guide complex step-by-step blind installations.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.