Iberdrola said it is advancing agentic AI across its operations, with nearly 500 AI agents already implemented or in development to support grids, generation, customer interactions, and corporate functions. The company, which calls the effort part of its "AI Utility of the Future" strategy, says the tools are meant to boost productivity and speed up process execution while keeping human control over decisions.
The agents are being introduced progressively, with the company saying that "control and accountability for decisions remaining with people." Iberdrola said the combination of human expertise and AI is a key lever in the transformation of the electricity sector, where managing critical infrastructure requires real-time responsiveness and data analysis.
Where the agents are working
In grids, Iberdrola said the technology helps anticipate potential incidents, improves real-time visibility into infrastructure conditions, and supports supply restoration within minutes. In generation plants, AI supports work planning, maintenance task coordination, and access to the technical knowledge needed for asset management.
For customer-facing activities, voicebots and chatbots handle questions, complaints, and documentation procedures. Corporate areas use the capabilities to improve productivity in administrative, finance, and legal functions, while IT agents help manage incidents and speed up problem resolution.
Training to scale use cases
Iberdrola said adoption is backed by training and enablement programs that help employees identify new opportunities and build use cases for specific business challenges. The approach treats AI as a day-to-day support tool rather than a separate initiative.
The company said it is rolling out these capabilities progressively and responsibly, "with control and accountability for decisions remaining with people." That point matters for anyone working in operations: the agents are designed to support teams, not replace them.
Why this matters for operations professionals
For operations teams, the practical takeaway is that agentic AI is moving beyond pilots into day-to-day work. Iberdrola's example shows how AI can handle repetitive tasks like maintenance coordination and incident response, freeing staff to focus on the parts of the job that require judgment.
If you work in a similar role, the useful question is not whether AI will reach your industry - it's which tasks in your own workflow are candidates for the same kind of support. The skills that matter: knowing how to spot those candidates and how to evaluate whether an AI agent is actually improving the process. That's where AI for Operations Training can make a difference. Learning to work alongside these tools - and to keep accountability where it belongs, with people - is quickly becoming a core operational skill. The same is true for AI Agents & Automation Courses, which help professionals understand how these systems work and where they fit.
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