AI Agents

From AI assistant to grid process automation

How IGP Agents enable precise decision-making in grid planning and operation while making processes more efficient – even as power grids become increasingly complex.

As the energy transition progresses, planning and operating power grids is becoming increasingly complex. With limited resources available for grid expansion, precise, data-driven decision-making is more important than ever. Distribution grid operators have access to more and more information and insights about their grids, but often struggle to turn this wealth of data into concrete decisions and actions. This is creating growing demand for modern tools that can “understand” complex interdependencies and simulate real-world physical grid conditions.

At the same time, generative AI is showing more clearly than ever how it can improve efficiency and accelerate data-driven work. But how can this potential be applied to grid processes? And how can this be done in critical infrastructure, where digital sovereignty is essential? No uncontrolled sharing of sensitive grid data, no dependency on individual global AI platforms – that is exactly what IGP Agents are designed for.

More than a regular chatbot

IGP Agents are much more than a chatbot or a fancy search function: they can understand and carry out complex tasks. The agents can interact with one another, which allows them to work across multiple areas of the Intelligent Grid Platform. They can access the same functions available to users – from power flow simulations and a wide range of analysis tools to the grid planning toolbox.

Because the AI behind IGP Agents is not simply added on top of the Intelligent Grid Platform as a chatbot, but deeply embedded within it, users spend less time searching for information, switching between systems, and piecing together individual steps. The result is faster, more efficient, data-driven decision-making.

Security comes first

Grid operators work with sensitive critical infrastructure data that must be protected. That is why data from the IGP is neither shared with commercial AI providers nor used to train their models. Two core principles provide additional safeguards for IGP Agents:

Human in the loop: IGP Agents can propose analyses, studies, or actions, but cannot execute anything without explicit approval from a user.
Data minimisation by design: Personal data is removed or anonymised before being passed to the language model, regardless of user permissions, while technical grid data is retained.

In addition, the underlying language model has strictly limited, read-only access and runs in a sovereign European environment where data is not stored.

What IGP Agents enable you to do

IGP Agents connect the entire PlanOps platform through an agent-based approach: users describe a task in natural language, and IGP Agents understand the context, access the relevant functions and data, run physics-based simulations, and coordinate specialised agents to deliver an end-to-end solution.

This makes complex tasks across grid planning, grid connection, grid operation, and field services easier, faster, and more seamless to complete.

The benefits at a glance:

An intelligent working environment with integrated process support for grid operations: IGP Agents use the same functions and calculations that users can access within the system.
Greater flexibility in designing and executing processes and workflows – independently of the actual user interface.
Commands are executed based on the actual grid model, Commands are executed based on the actual grid model.
Maintained digital sovereignty: No uncontrolled sharing of sensitive grid data and no dependency on global AI platforms.
Better scalability in times of skilled-labour shortages by providing hands-on support to grid experts in their day-to-day work.

IGP Agents in practice: 3 examples

For AI applications to provide meaningful support to grid operators, they need to “understand” complex interdependencies and be able to simulate real-world physical grid conditions. This is what enables them to handle even complex requests.

IGP Agents automatically break tasks down into individual steps, while specialised agents carry out the respective subtasks within the platform. Instead of merely generating responses, they can access and run the IGP’s physics-based simulations, assess technical impacts on the grid, and use these results within the broader workflow.

The following examples illustrate how IGP Agents can work across different applications and areas of the platform:

Faster grid planning processes

Enabled by prompts such as: “Identify the most critical grids across my entire grid area, create planning projects, and try to resolve limit violations using grid reinforcement and optimisation measures.”

More powerful batch analyses for capacity allocation processes

Enabled by prompts such as: “Run a Grid Study for all open battery storage connection requests from the last three months.”

More efficient identification and correction of data errors

Enabled by prompts such as: “Identify the causes of non-convergence in my grid and create data error entries for the issues detected.”

Conclusion

Instead of spending valuable time manually gathering information and accessing functions across different departments and roles, IGP users can initiate complex tasks through the Agents while retaining full control over their execution.

IGP Agents make the Intelligent Grid Platform not only smarter, but also more powerful – working alongside the people who plan, operate, and manage the grid every day.

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