City of Carson (Ask Carson) builds multilingual citizen-engagement virtual agent with Dialogflow CX, Vertex AI Data Store agents
The City of Carson’s Information Technology and Security Department implemented Ask Carson, a multilingual citizen-engagement virtual agent to improve access to information for residents and businesses. The solution uses Google Cloud Conversational Agents/Dialogflow CX and Vertex AI Data Store agents to answer questions from public website content and support separate language flows for multilingual requests.
- Organization
- City of Carson
- Industry
- Public Sector
- Location
- United States
- Published
- September 2025
Reported outcomes
30%
staff time freedTime & speed
Strategic outcomes
Catalog median for time & speed deployments: +80% across 203 reported metrics. Compare benchmarks →
Primary read
Use case focus
Showing 3 of 4
- 1Citizen engagement
- 2Virtual agent
- 3Conversational AI
- High volume citizen calls caused multiple transfers and long hold times.
- The city needed 24/7 multilingual support for major upcoming events without a large increase in call center staff.
- Residents needed faster access to basic information and improved digital engagement.
- The City of Carson worked with Insight to build Ask Carson as a conversational AI chatbot on Google Cloud.
- The bot was built with Dialogflow CX and uses Vertex AI Data Store agents connected to the city’s public website content.
- Separate language flows automatically translate and answer in the user’s language, and the bot was delivered in nine weeks.
- Nearly 400 conversation sessions per month with zero live agent handoffs.
- About 27% of usage occurs after business hours, reducing overtime.
- The city estimates Ask Carson will free up 30% of staff time within a year.
Architecture
The City of Carson and Insight built Ask Carson as a conversational AI virtual agent on Google Cloud using Dialogflow CX and Vertex AI Data Store agents. The solution includes separate language flows for multilingual requests, automatic translation and language-aware responses, and knowledge retrieval from the city’s public website content. The project was delivered in nine weeks and includes analytics to monitor usage and content gaps.
Implementation partners1
Sources & evidence1
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