Energy Department projects $74M in annual savings from internal AI and data platforms

The Department of Energy estimates that Quanta, its internal enterprise data platform, and Joulix, a generative artificial intelligence suite, will generate $74 million in annual operational savings, a department official said. Bridget Carper Arnone, deputy chief information officer for architecture, engineering, technology and innovation, made the remarks at the Government Executive Efficiency Summit on July 16, 2026.

Energy plans to expand Quanta access to all 88 departmental elements by the end of the fiscal year, Carper Arnone said. The platform was developed in partnership with Databricks in 2025 to address a compliance task that required sifting through a billion documents in three weeks. Quanta reduced 200 gigabytes of documents to four gigabytes in 12 minutes for the Office of Electricity, enabling subsequent AI processing.

Quanta is currently used in 44 offices across the agency, with more than 500 data sources, and has supported projects such as forecasting the impact of heat waves on electric grids by the Energy Dominance Finance Office. Other offices are exploring Quanta to improve funding notification processes and address exploited cybersecurity vulnerabilities.

Joulix, which includes a generative AI chatbot named EnerGPT, has 21,000 users across department elements. Employees at national laboratories, though able to use other chatbots, rely on Joulix-based tools to compile emails, draft responses, and prepare briefings for leadership. Additional uses include writing job descriptions, accelerating contract awards, and assisting with executive order and policy directive compliance.

Energy’s adoption of AI tools is guided by governance processes that assess risk versus time frame and reward, according to Carper Arnone. Employees submit potential AI use cases via a dedicated Joulix email, reflecting an internal mechanism for soliciting and evaluating new applications.