Citizen Engagement

AI Will Not Improve Municipal Field Dispatch Unless Cities Define the Work First

Cities exploring AI for municipal field dispatch need clear work definitions, reliable data, approved operating rules, deployment planning and measurable outcomes before AI can improve urgent field-service response.

It Takes a Village: Why Government AI Attribution Cannot Be Solved Alone

A complex IT ecosystem helps ensure that AI models correctly interpret government communications and pass along accurate info about updates, alerts and other public matters. Part of that ecosystem is technology that can attribute what data the AI pulls from what source, and when.

Why AI Citation Registries Are Emerging as a Practical Path Forward for Government Agencies

Agencies publish an array of documents — decentralized and in different formats — that AI systems often misinterpret when answering resident questions. Standardization and centralization would address the problem, but those can be heavy lifts. A citation registry, however, can change how AI understands government writings.

Customer Experience

How Your CX Can Better Support Underserved Communities 

Many government communication and service delivery plans assume that constituents have easy access to online resources and can comfortably work with digital tools. But that’s not always the case. Challenges range from access barriers (bandwidth, devices) and comprehension barriers (language, ease of use) to trust and safety. During our CX Community of Practice Session onRead… Read more »

Trust Architecture: Designing Systems That Citizens Believe In

As government services increasingly move to digital platforms and AI-assisted systems, public trust is shaped not only by policy but by how those systems are designed. So, to strengthen citizen confidence while advancing modernization, agencies are implementing a trust architecture that focuses on building transparency, fairness, and reliability.