The world needs more energy. Agentic AI can help meet the challenge.

The world needs more energy, fast.

To meet this challenge, we’ll need to apply every tool and idea we can: speeding up how things are done now, as well as introducing novel solutions.

Today, connecting new energy sources to the electric grid can take years, in part because of the long, painstaking process for reviewing and approving each project’s interconnection application. These applications are a critical step in determining whether energy-generation projects can safely connect to the existing grid. But the process can be challenging, time-consuming and laborious.

The Tapestry team is using agentic AI and machine learning to accelerate that process, so the people working on the grid’s toughest jobs can accomplish much more. This morning, we published a comprehensive deep-dive into one example of our technology at work, and how it’s helping tackle a core challenge facing grid operators and energy developers.

I’m excited to take folks under the hood and demonstrate how these tools can help the energy industry safely and quickly meet humanity’s fundamental need for power, without compromising any piece of this essential process.

The dialogue around we-need-energy-for-AI is omnipresent. But at Tapestry, we’re committed to turning that around, sharing real-world examples of exactly how AI-for-energy is being applied to address some of today's most pressing energy challenges—in this case, in a way that immediately benefits the people making decisions about what to connect to our grids. Big thanks to PJM Interconnection, the largest grid operator in the U.S., for being early believers in this approach and using our technology to supercharge their own process.

Dive into our full white paper below.