Assess and Prioritize Agentic AI Use Cases in Government

Government leaders struggle to identify, evaluate, and scale agentic AI applications.
Stakeholders have uneven AI understanding and competing priorities.
Accountability and risk constraints slow adoption of autonomous systems.
Limited resources require prioritization of high-impact AI investments.

Our Advice

Critical Insight

Stakeholder alignment is the prerequisite for scaling AI initiatives.
The AI knowledge gap inhibits adoption and cross-agency coordination.
Understanding autonomy is key to balancing AI value and risk.

Impact and Result

Establish shared understanding of AI across stakeholders.
Enable structured, defensible evaluation of AI use cases.
Deliver a prioritized roadmap for AI implementation and scaling.

Assess and Prioritize Agentic AI Use Cases in Government Research & Tools

1. Assess and Prioritize Agentic AI Use Cases in Government – Evaluate, prioritize, and implement agentic AI use cases aligned to government value drivers.

This research provides a four-phase methodology (foundations, alignment, evaluation, prioritization), real-world use cases, decision frameworks, and guidance on balancing autonomy, risk, and value.

2. Agentic AI Use Case Tool for Government – Score and prioritize AI use cases based on impact and feasibility.

Government leaders are under pressure to implement and take advantage of AI, but without a clear framework, investments stall and opportunity goes unrealized. This tool enables a structured evaluation of business value, risk, data readiness, and feasibility, culminating in a defensible prioritization matrix and roadmap.

Build shared stakeholder understanding of AI autonomy, capabilities, and risk to accelerate use case selection and implementation.

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.

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Speak With An Analyst

Get the help you need in this 4-phase advisory process. You'll receive multiple touchpoints with our researchers, all included in your membership.

Guided Implementation 1: Establish agentic AI fundamentals

Call 1: Align on fundamental agentic AI concepts.
Call 2: Explore agentic AI in practice, focusing on government examples.

Guided Implementation 2: Align AI capabilities and government value drivers

Call 1: Review government business reference architecture
Call 2: Identify alignment between AI capabilities, government value drivers.

Guided Implementation 3: Assess the value and feasibility of AI use cases

Call 1: Identify candidate use cases.
Call 2: Evaluate use case value and feasibility.

Guided Implementation 4: Prioritize AI initiatives and build implementation roadmap

Call 1: Prioritize use cases based on risk, value, and readiness.
Call 2: Develop a sequenced implementation roadmap.

Author

Scott Winslow

Contributors

Joe Forte, Senior Vice President, NiCE
Jacques Vest, Senior Consultant, Clarivate Analytics