#Canada #Toronto #Utility Knowledge Base #HGI Framework #Trusted AI

Themis Intelligence Introduces New AI Framework in Utility Operations

In a significant advancement in the field of utility operations, Themis Intelligence, a subsidiary of Survalent Technology, has unveiled its cutting-edge Utility Knowledge Base (UKB) alongside the Human-Guided Intelligence (HGI) framework. These innovative tools aim to bolster the application of artificial intelligence (AI) in utility operations while ensuring that trust, transparency, and human accountability remain at the forefront.

As the landscape of electric distribution utilities evolves, there has been an overabundance of AI tools available. However, the fragmentation of operational knowledge often hampers the ability to make defensible decisions and maintain operational continuity. The new UKB and HGI frameworks are designed to bridge this gap by integrating robust operational intelligence in a seamless manner.

Understanding the Utility Knowledge Base (UKB)

The Utility Knowledge Base (UKB) serves as a vital repository that consolidates utility operational knowledge and contextual information into a well-structured and governed framework. This framework aims to support a variety of operational and planning workflows. It incorporates various elements such as control room procedures, emergency response protocols, business continuity strategies, engineering standards, and compliance materials, as well as pertinent operational technology (OT) and information technology (IT) contexts.

The primary objective of the UKB is to make this wealth of knowledge accessible for decision-making and machine learning purposes, rather than merely storing it for reference. This shift in focus transforms knowledge into an actionable resource that can significantly improve the credibility and quality of decision-making within utility operations.

Enhancing Decision-Making with Human-Guided Intelligence (HGI)

Complementing the UKB, the Human-Guided Intelligence (HGI) framework introduces a practical approach to AI application within utility operations. HGI emphasizes the importance of explainability, accountability, and traceability in AI recommendations. This is especially critical in scenarios where erroneous decisions can have severe operational ramifications.

Instead of promoting autonomous AI-driven control, the HGI framework ensures that human operators remain at the helm of decision-making processes. By reducing the 'black box' nature commonly associated with AI technologies, the HGI framework helps utilities maintain control over their operational environments, fostering a culture of responsibility around AI-guided recommendations.

Practical Implementation and Industry Relevance

The advancement of the UKB and HGI frameworks are rooted in practical applications and insights gathered from active engagements with utilities. These interactions have informed various use cases, including operational forecasting, asset risk evaluation, rapid knowledge retrieval for time-sensitive procedures, and enhancing institutional continuity across operational teams.

Steve Mueller, President and CEO of Survalent Technology, highlighted the growing obligations on utilities to modernize while ensuring they can justify their decisions to stakeholders. He stated, "A structured and secure operational knowledge foundation like UKB is essential for utilities to operate in this challenging new environment."

Upcoming Demonstrations at DTECH 2026

For those interested in learning more about these new frameworks, Themis Intelligence will be showcasing the UKB and HGI at DTECH 2026. Attendees can visit their booth (5025) to see practical demonstrations or schedule a meeting to delve deeper into how utilities can organize operational knowledge and successfully leverage trusted AI to support decision-making processes.

Conclusion

In summary, Themis Intelligence is setting a new standard for utility operations with the introduction of the Utility Knowledge Base and Human-Guided Intelligence frameworks. These initiatives not only provide a pathway for integrating AI into utility operations but also prioritize the essential elements of human oversight and accountability. As the utility industry faces increasing complexity and scrutiny, such innovations are crucial for ensuring effective and trustworthy operations.