Bridge the gap between AI ambition and operational reality

Utilities know AI holds potential … but pilot purgatory and fragmented initiatives keep that potential out of reach.

Despite years of experimentation, most AI efforts remain disconnected from capital planning, rate cases, and core operations. The result: stalled momentum, siloed tools, and limited impact on reliability or risk.

AI Playbook for Utility Leaders: Managing Risk, Powering Reliability offers a disciplined framework to integrate AI as a sustained operational capability, aligned to strategy, budgets, compliance, and the metrics that matter.

Explore a disciplined approach to integrating AI across five dimensions:

Strategic alignment

Data
convergence

Workforce transition

Governance & NERC compliance

Value
realization

Grab your copy of AI Playbook for Utility Leaders: Managing Risk, Powering Reliability

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A glimpse into AI Playbook for Utility Leaders: Managing Risk, Powering Reliability

The grid is evolving. Your operating model must follow.

For utilities, artificial intelligence is no longer an R&D curiosity or a “future state” vision. It is the necessary bridge between legacy infrastructure and the demands of the modern energy transition. Leaders who operationalize AI today are not just innovating; they are defining the standard of service and operational excellence for the next decade.

The friction point

The industry is hitting a crossroads. Aging infrastructure, rising customer expectations, unprecedented load growth, and intense regulatory oversight are pushing traditional models to their limits. Manual inspection cycles, reactive maintenance, and siloed data can no longer keep pace with the complexity of a bidirectional grid.

The operational imperative

AI provides the discipline required to navigate this complexity. It is the lever that allows utilities to reinforce reliability (SAIDI/SAIFI) and manage risk while maintaining ratepayer affordability.

However, the sector remains stalled in “pilot purgatory.” While point solutions exist, few utilities have successfully integrated AI into their general rate case (GRC) or core asset management strategy. To deliver lasting results, AI needs to be planned into capital budgets and managed with the same discipline applied to safety and reliability.

The path forward

Real value is not found in isolated experiments. Impact occurs when AI is treated with the same rigor as physical infrastructure—planned in capital budgets, governed by safety protocols, and tied directly to the metrics that regulators and boards track.


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Travis Jones
Travis Jones is Chief Operating Officer at Logic20/20, where he leads AI initiatives and enterprise transformation programs that help organizations operate more efficiently and scale with confidence. With over two decades of international consulting experience across energy, healthcare, and technology, he brings a global perspective to solving complex business challenges. He is known for building high-performing teams and driving measurable results in dynamic, regulated industries.