Assess and Prioritize Agentic AI Use Cases in Utilities

Utility leaders struggle with determining where autonomy is appropriate given constraints in regulations, safety, and accountability. AI agents introduce new cyber, compliance, and governance risks that CIOs must proactively manage and extend beyond just the automation itself. Agents are treated as binary rather than a scale based on criteria such as risk, which limits opportunities.

Our Advice

Critical Insight

Utilities are implementing agents, starting with back-office functions where consequences of incorrect decisions are less severe, reversible, and can instill human-in-the-loop.

Impact and Result

AI agents are designed to directly support business capabilities and drive organizational value.
Defined processes compare agent value and implementation feasibility.
Alignment of an organization’s risk appetite supports agentic automation.

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

1. Assess and Prioritize Agentic AI Use Cases in Utilities Deck – A four-phase methodology to help utility organizations identify, right-size, and evaluate agentic AI use cases.

This research provides a structured methodology to help utility technology leaders brainstorm and evaluate agentic AI use cases by considering business value, implementation feasibility, level of autonomy, and associated risks.

2. Agentic AI Use Case Tool for Utilities – Evaluate and prioritize highest value agentic AI use cases for your organization by considering risks, value, and feasibility.

Utility organizations are faced with constraints impacting regulations, operations, and security. This tool helps Utility leaders systematically identify and score agentic AI use cases across their key business capabilities, cutting through the noise to surface the initiatives most likely to deliver measurable impact.

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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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Guided Implementation 1: Anchor Agentic AI Use Cases to Business Reference Architecture

Call 1: Review the business capability map and value streams.
Call 2: Identify domains where agentic AI may create value.

Guided Implementation 2: Calibrate Automation Level Aligned to Risk Model

Call 1: Determine your organization’s autonomy and risk tolerance.
Call 2: Apply autonomy and risk model to identified use cases.

Guided Implementation 3: Evaluate Agentic AI Use Cases Based on Impact and Feasibility

Call 1: Define use case evaluation criteria.
Call 2: Evaluate use case value and feasibility.

Guided Implementation 4: Prioritize Use Cases, Turning Agentic AI From Use Cases to Pilots

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

Author

Bevin Chau

Contributors

Two anonymous external contributors.