Public Sector & Government AI Use Case Ranking

The Indiana Secretary of State transformed over 20 million historical government records into searchable intelligence using Google Cloud's Gemini and Vertex AI, enabling rapid data insights and modernized legacy systems.,They deployed bilingual AI-powered conversational agents Liz and Otto to provide 24/7 resident support in English and Spanish, significantly increasing team capacity and user access.,Additionally, the office launched a Notary Learning Management System (LMS) powered by AI on Google Kubernetes Engine, training over 50,000 statewide notaries with interactive micro-learning, leading to an award for Best Application Serving the Public at the State Level.

IBM Consulting and Microsoft co-hosted their third annual hackathon with more than 900 participants, bringing together public sector organizations to develop real-world AI agent solutions. State of New Jersey Department of Community Affairs and State of Arizona Department of Child Safety were among the winning teams, focusing on modernizing data entry, compliance, and case management. New Jersey created 'Checkmate,' leveraging Microsoft Azure AI, Dynamics 365, and Power Automate to automate inspection reporting, using conversational AI and speech-to-text for mobile workforce efficiency. Arizona's solution enhanced child welfare service tracking and improved reporting accuracy for critical service records, enabling better support for families. The hackathon demonstrated large-scale industry collaboration and rapid prototyping to overcome digital transformation barriers in government. Both solutions are positioned to improve compliance, reduce errors, and optimize employee productivity, and are considered scalable real-world cases demonstrating innovation in public services.

The Met Office built a prototype to turn raw weather data into readable maritime forecasts using Amazon Nova Foundation Models.,The project explores automated text generation for the Shipping Forecast and broader weather services to improve scalability and consistency.

In the fast-growing, diverse South Florida City of Tamarac, 20% of residents who call the city’s main number now resolve their issues without ever speaking to a human.,The city built a multilingual, omnichannel contact center on AWS to provide residents 24/7 access for emergency alerts, water bills, parks and recreation updates, and other services.,The platform uses an AI-powered virtual assistant with a daily-updated knowledge base from more than 13 city websites and applications, and Amazon Q to provide real-time suggestions to agents.

Papua New Guinea Immigration and Citizenship Services Authority (ICSA) partnered with AWS partner NiuPay to modernize manual, error-prone visa processing.,The solution analyzes scanned documents and images with generative AI and structured data extraction, integrates directly into the eVisa platform, and uses configurable rules for auto-approval or human escalation.

The Arizona Health Care Cost Containment System (AHCCCS), a Medicaid agency, developed a Generative AI-powered Opioid Use Disorder (OUD) Service Provider Locator to help connect individuals with opioid addiction to treatment providers and resources efficiently.

The City of Chattanooga is using Google Cloud to modernize internal productivity and build smart city capabilities across public safety, city operations, and resident engagement.,The city centralized data in BigQuery, trained a Vertex AI model on municipal code, and began rolling out Google Workspace with Gemini and NotebookLM to employees.

Kiwa Digital, in collaboration with the Ngalia Heritage Research Council and Custom D, built CultureQ as a secure digital archival system to help Indigenous communities preserve and activate cultural knowledge while maintaining Indigenous data sovereignty.,The solution uses AWS generative AI infrastructure to support conversational search over verified cultural sources with citations and governance controls, rather than scraping the open internet.

Federal agencies face large backlogs of unstructured, highly sensitive documents including regulatory records, eligibility evidence, and case files that need to be processed faster and more accurately.,DMI developed Document AI, a modular solution using Amazon Bedrock for generative AI and large language models to classify and extract data from complex documents, supporting multimodal analysis and high extraction accuracy.,The solution integrates AWS services like Amazon Bedrock Knowledge Bases, Amazon Augmented AI (A2I), AWS CloudFormation, and Amazon S3 to provide secure, compliant, and automated document workflows with human-in-the-loop review.,Document AI automates ingestion, classification, extraction, and generation workflows, improving processing speed and accuracy while enabling agencies to maintain full data control within their own AWS accounts.

Megamedia, a leading media holding company in Chile, aimed to simplify access to public government support program information and improve user experience for visitors of its news website. The company built a generative AI-powered chatbot to enable personalized queries about government benefits programs, replacing slow manual searches through multiple websites.,Megamedia used Amazon Bedrock, accessed via the Generative AI Application Builder on AWS, and integrated intelligent enterprise search with Amazon Kendra to create and deploy the chatbot. The chatbot leverages the Claude 2 large language model (LLM) from Anthropic, hosted by Amazon Bedrock, to provide conversational and accurate responses. Partner ARKHO contributed AI expertise and helped refine and deploy the model on the website.,The resulting Dato Útil chatbot achieves over 90% accuracy in answering user queries and reduced information search time from hours to about 30 seconds. It supports journalists to find source government information more efficiently, easing internal adoption. This solution launched publicly in May 2024 after a rapid 4-month development period.

The Government of the City of Buenos Aires introduced Boti, a WhatsApp-based AI assistant, to help citizens access city information and government procedures.,To better answer questions about more than 1,300 procedures, the city and AWS built an agentic AI system with Amazon Bedrock, Bedrock Knowledge Bases, and LangGraph.

Contra Costa County District Attorney's Office needed to comply with California Penal Code Section 741 (AB 2778) by redacting race, ethnicity, and other identifying information from police reports and case documents before charging decisions.,The office worked with ScaleCapacity, an AWS Partner, to build an AI-driven workflow on AWS that extracts and redacts sensitive information from case materials and fits into the existing clerk upload and attorney review process.,The solution supports rapid redaction-rule updates and lets attorneys toggle between redacted and unredacted document views to support usability and review.

The Ad Council built an AI-powered chat experience for its Youth Firearm Injury Prevention campaign, Agree to Agree.,The solution uses Microsoft Copilot Studio as the conversational layer and Azure AI Search with Azure OpenAI, Azure Blob Storage, Azure Functions, and Power Automate to ground responses in vetted campaign resources.,The agent is designed to guide users toward trusted, approved information while avoiding harmful, political, or crisis-escalation content.

Valiance (India) built an AI-powered video intelligence suite on Google Cloud to improve wildlife conservation and civic safety. The platform turns large CCTV and video streams into real-time incident intelligence for public-sector operators.,Its flagship products, Wildlife Eye and CivicEye, use custom computer vision models, multimodal data fusion, and intelligent alerting. CivicEye also lets officers query video footage in natural language through Google AI capabilities.

The IGAD Climate Prediction and Applications Centre (ICPAC) serves 11 countries in the Greater Horn of Africa with climate forecasting and early warning services.,To improve reliability after on-premises disruptions and a monolithic setup, ICPAC moved to Google Cloud and adopted a microservices architecture on Google Kubernetes Engine.,ICPAC uses Cloud Run to process geospatial data, automated deployments with Cloud Build and Artifact Registry, and secured data and access with Cloud Storage and IAM.,The organization reports that climate data processing dropped from up to 8 hours to 30 minutes, cloud services costs fell by more than 40%, and the platform now runs 24/7.,ICPAC also plans to use Gemini for conversational interfaces so users can ask questions in local languages.

Axis My India built a multilingual super-app for Android and iOS on Google Cloud to help bridge the digital divide and improve access to government social welfare programs in India.,The app uses Vertex AI for generative AI experiences plus Cloud Translation API, Speech-to-Text, Text-to-Speech, and Natural Language API to support voice-driven and multilingual workflows for citizens with varying literacy levels.,In a pilot with the National Health Authority, the platform raised awareness, assessed eligibility, and guided registration for a public health insurance initiative.

This use case documents the strategic collaboration between PwC and Microsoft to support public sector organizations in their adoption of agentic AI. The initiative deploys intelligent automation and agentic AI powered by Microsoft Cloud to improve citizen satisfaction, governmental responsiveness, and operational efficiency.,The article describes a playbook and framework guiding governments from digital maturity towards scalable deployment of AI agents. It details building foundational IT infrastructure (modern cloud and cybersecurity), upskilling public sector staff, and addressing ethical AI deployment and data privacy.,By integrating agentic AI into core services, government institutions can automate workflows and accelerate decision-making, freeing human capacity for high-value tasks.,The approach covers AI readiness assessment, maturity diagnostics, change management, and responsible implementation practices, emphasizing public trust and compliance.,Collaboration leverages PwC’s public sector experience and Microsoft’s technology to ensure alignment with mission objectives and measurable results.,AI agents support citizen-facing services as well as internal operations, from education to defense and beyond.,Examples from European, African, and Latin American governments illustrate global impact, with three implementation stages: assistant, digital colleague, and autonomous agent.,Results include improved service delivery speed, higher citizen satisfaction, operational cost savings, and future readiness for technological change.

Save the Children España (SCE) tackled the challenge of high non-take-up rates of social assistance benefits such as Minimum Vital Income (IMV) in Spain caused by lack of awareness and application difficulties.,They developed a multilingual web application featuring a chat-based AI assistant that delivers localized, context-sensitive information about social benefits to families and provides support to social workers.,The solution integrates multiple AWS AI services including Amazon Bedrock for generative large language models, Amazon Kendra for intelligent document indexing and search, Amazon S3, DynamoDB, AWS Lambda, and API Gateway, creating a scalable, extensible platform.

The city of Espoo, Finland, partnered with Tieto to integrate social and health data for 520,000 residents on a Microsoft Azure-powered AI platform called Intelligent Wellbeing. The system merged and anonymized disparate data sources—including health, social services, and early education—and used Azure Data Lake to create a unified resident view. Tieto’s AI segmented citizens into risk groups, uncovering key service usage patterns (such as 80% using only 20% of city resources). The technology was pivotal in reducing the number of immigrant children in foster care from 45% to 24% in one year by identifying and directing residents to preventive services. Transparency initiatives and explainability standards were baked into the design, aiming to build citizen trust, ensure ethical use, and serve as a public sector model across Europe.

This use case describes the modernization of public finance, customs, and trade services across multiple government agencies worldwide using Microsoft technologies. By leveraging AI agents, intelligent cloud solutions, and secure collaborations, agencies are improving operational efficiencies and driving digital transformation. The article shares examples from the General Directorate of Customs of the Dominican Republic, the Australian Trade and Investment Commission, CSX Corporation, the UK Department for Environment, Food and Rural Affairs, and the Inter-American Center of Tax Administrations. Key impacts include faster goods clearance, significant time reduction in document reviews, advanced risk management and fraud detection, and improved taxpayer and citizen services. Real-time data insights and confidential computing underpin improved compliance and resilience. The transformation highlights the importance of ecosystem collaboration, personalized services, and a taxpayer-first approach through data-powered platforms.