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AI Use Case Library for State & Provincial Governments

Identify value-driven AI use cases to transform your organization.

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AI holds tremendous potential in resolving these challenges and unlocking new opportunities. However, several barriers to adoption exist:

  • Fluid and unfamiliar solutions ecosystem and unknown cost implications
  • Concerns about impacts on workforce
  • Quantifying the benefits of using AI and making a case for implementation
  • Partnering with the right vendor and navigating complex implementation options
  • Policing the use of confidential, proprietary, and sensitive data with these platforms

Our Advice

Critical Insight

Governments should approach AI adoption strategically and responsibly, with a clear understanding of the specific use cases and benefits and a plan for addressing the challenges associated with implementation and ongoing use. Governments can adopt a risk-based approach to act on sophisticated AI technology and ready-to-use solutions to balance AI opportunities and risks.

Impact and Result

Info-Tech’s use case library provides practical guidance to help government leaders accelerate value-driven AI use case adoption.

AI Use Case Library for State & Provincial Governments Research & Tools

1. Generative AI Use Case Library for State & Provincial Government – Identify value-driven Gen AI use cases to transform your organization.

Leverage a robust set of AI use cases to identify potential initiatives that can accelerate value creation. Use cases cover a range of technologies and capabilities and include insight into sources of value.

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AI Use Case Library for State & Provincial Governments

Identify value-driven generative AI use cases to transform your organization.

Analyst Perspective

Artificial intelligence is disrupting every industry, but you can get ahead of the shift.

Artificial intelligence (AI) is not new to government use. In fact, data scientists and engineers have been using machine learning (ML) models on behalf of some governments to assist in system planning for decades. One unfortunate reality is that they spend weeks and months wrangling data before they can get to the mathematical modeling and AI part of problem solving. Solving these fundamental data challenges can accelerate the deployment of AI use cases at scale.

In the generative AI (Gen AI) era, AI adoption has recently returned to the spotlight. All levels of government are cautiously optimistic about AI's potential use cases, yet concerns remain about its limitations and risks. When it comes to emerging technologies, the public sector has always been a follower. You certainly won't see many departments jumping on the bandwagon to implement quick and cool demos. Unless the potential disruptions are imminent and the benefits are clear, all levels of government will stay patient, learn from others' lessons, and reap the benefits of others' proven use cases.

Following the principle of not implementing technology for the sake of technology, we recommend that our members adopt a value-driven methodology to examine the potential benefits of AI use cases while balancing the risks and limitations.

A picture of Vishal Monga, MBA, PMP

Vishal Monga, MBA, PMP
Research Director, Public Sector
Info-Tech Research Group

Executive Summary

Your Challenge

  • The benefits of AI technologies for government services are known but adoption occurs at a lower pace despite rapid budgetary growth for adopting and investing in AI.
  • Government sector leaders must still strategize how to deploy AI technologies at scale rapidly and responsibly given the limitations and risks.
  • The government sector requires further insights regarding AI strategy and a governance model to establish alignment between IT and the administrative bureaucracy.

Common Obstacles

  • Government leaders have a limited understanding of the potential use cases and how they can begin to support strategic objectives.
  • Government organizations at every level are concerned about the risks of AI and compliance with privacy laws, regulations, and policies.
  • Government organizations face challenges with the quality and accessibility of the huge amount of data being generated, and they are uncertain how to effectively address such challenges.

Info-Tech's Approach

  • Introduce an approach to build your Gen AI Roadmap rapidly and responsibly via a six-step practical framework to accelerate the adoption.
  • Help government leaders understand and discover AI use cases that can address some of their policy challenges as well as supporting organizational strategic goals.
  • Guide government leaders through starting their AI journey by identifying and prioritizing AI use cases for their policy making capabilities through a benefits realization model.

Info-Tech Insight

Governments should approach AI adoption strategically and responsibly, with a clear understanding of the specific use cases and benefits and a plan for addressing the challenges associated with implementation and ongoing use. Governments can adopt a risk-based approach to act on sophisticated AI technology and ready-to-use solutions to balance AI opportunities and risks.

Generative AI is an innovation in machine learning

Info-Tech Insight

Many vendors have jumped on Gen AI as the latest marketing buzzword. When vendors claim to offer Gen AI functionality, pin down what exactly is generative about it. The solution must be able to induce new outputs from inputted data via self-supervision – not trained to produce certain outputs based on certain inputs.

Generative AI (Gen AI)

A form of ML where, in response to prompts, a Gen AI platform can generate new outputs based on its training data. Depending on its foundational model, a Gen AI platform will provide different modalities and thereby use case applications.

Audio – Converts text to sound
Visual – Enables text to image, video, or web design conversions
Code – Creates code in various programming languages based on human language prompts
Text – Creates text-based outputs such as articles, blog posts, emails, and information summaries

Machine learning (ML)

An approach to implementing AI where the AI system is instructed to search for patterns in a data set and then make predictions based on that set. In this way, the system "learns" to provide accurate content over time (think of Google's search recommendations).

Artificial intelligence (AI)

A field of computer science that focuses on building systems to imitate human behavior. Not all AI systems have learning behavior – many operate on preset rules (i.e. customer service chatbots).

Other industries are using AI – and government is far from the lead

Share of service professionals using AI in 2022, by industry

An image of a bar graph showing the Share of service professionals using AI in 2022, by industry.  Government: 34% is outlined in red.

Source: Statista, 2023

AI is set to transform government efficiency, offering smarter solutions in policy making, public services, and regulatory compliance.

"Federal AI spending, including reported prime obligations and other transaction agreements, totaled $7.7B from FY 2020 to 2022, with an increase of 36% over the three-year period."

Source: GovWin from Deltek

AI-augmented government

Cut costs, free up time for critical tasks, and deliver better and less expensive services

84% expect value for their money: Low investment - speeds up tasks approximately 20%; Saves hundreds of millions of dollars; Reallocates tens of millions of hours.  High investment: speeds up tasks by approximately 200%; Saves thousands of millions of dollars, and reallocates hundreds of millions of hours.

Source: "AI-augmented government." Deloitte, 2017.

Info-Tech's approach and team can help irrespective of where you are in your digital journey

A table outlining the digital journey, and where Info-Tech's approach and team can help.

Measure the value of this document

Document objective

Highlight best-in-class use cases to spur the initiative planning and ideation process.

Measuring your success against that objective

There are multiple qualitative and quantitative, direct and indirect metrics for which you can measure the progress of your initiative pipeline's development. Some examples of these are:

Increased initiative pipeline value.

Number of capabilities impacted by initiative pipeline.

Enhanced understanding of initiatives' impact aligned to organization's capability map.

Better understanding of which sources of value are being addressed or under-addressed in the organization's initiative pipeline.

See Establish Your Transformation Infrastructure for more details.

AI Use Case Library Methodology


What is an AI use case?

A Gen AI use case is a technology or combination of technologies applied to a specific capability (e.g. job to be done) within a given industry/function to create value.

Use case

Industry or function

The relevant industry or function (many use cases will apply across multiple industries/functions).


The activities or job(s) to be done that your organization performs to ultimately deliver a product/service.


The base technology that enables value-creating performance gains.

AI Use Case Library for State & Provincial Governments preview picture

About Info-Tech

Info-Tech Research Group is the world’s fastest-growing information technology research and advisory company, proudly serving over 30,000 IT professionals.

We produce unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely, and well-informed decisions. We partner closely with IT teams to provide everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.

What Is a Blueprint?

A blueprint is designed to be a roadmap, containing a methodology and the tools and templates you need to solve your IT problems.

Each blueprint can be accompanied by a Guided Implementation that provides you access to our world-class analysts to help you get through the project.

Talk to an Analyst

Our analyst calls are focused on helping our members use the research we produce, and our experts will guide you to successful project completion.

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You can start as early as tomorrow morning. Our analysts will explain the process during your first call.

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Each call will focus on explaining the material and helping you to plan your project, interpret and analyze the results of each project step, and set the direction for your next project step.

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Vishal Monga

Search Code: 103805
Last Revised: February 28, 2024

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