Building AI-Ready IT Service Management for Energy and Utilities

Utilities are under increasing pressure to modernize without compromising reliability, safety or regulatory compliance. As digital initiatives accelerate and artificial intelligence (AI) moves from exploration to expectation, many organizations are discovering that scaling these efforts depends on the strength of the operational foundation behind them.

Understanding what that foundation requires and where gaps may exist is key to turning AI from a concept into measurable progress.

A Sector at a Crossroads

The energy and utilities industry is experiencing a period of notable change. Aging infrastructure, heightened regulatory scrutiny, cybersecurity threats and workforce constraints are converging while artificial intelligence continues to shift from experimentation to expectation.

Utilities are facing increasing pressure to:

• Improve the reliability and resilience of service delivery
• Modernize aging systems while maintaining operational continuity
• Sustain regulatory and cybersecurity compliance at scale
• Control costs amid rate constraints and capital investment cycles
• Integrate IT and operational technology (OT) more effectively

Studies from industry and consulting organizations show that utilities often struggle to scale digital and AI initiatives. The challenge is not just access to technology, but the maturity of processes, governance and data required to support it. Without that foundation, progress is difficult to sustain and can introduce operational risk.

The unspoken challenge: AI introduces a different kind of risk for utilities. Its impact depends largely on the strength of the operational foundation supporting it.

AI: Opportunity and Risk Amplified

AI has clear and compelling use cases across the energy and utilities value chain. Leading utilities are already applying AI across:

• Predictive asset and maintenance analytics
• Outage detection, restoration prioritization and grid intelligence
• Load forecasting and market optimization
• Workforce enablement and decision support
• Intelligent service and operations centers

However, AI delivers value when built on trusted data, governed processes and clear accountability. Industry perspectives consistently point to trust, explainability and governance as critical to realizing AI’s potential, not speed of deployment alone.

Without disciplined service management:

• AI recommendations lack operational context and can mislead decision-makers
• Automation introduces operational and compliance risk without appropriate governance guardrails
• Root causes of failures remain hidden, repeated and unresolved
• Decisions become harder to audit, explain and defend to regulators

Why ITSM is Foundational in the AI Era

In modern utilities, IT service management (ITSM) provides the management backbone that connects people, processes, technology and risk. Four capabilities are most critical:

1. Service-centric operating models: ITSM enables utilities to move from managing individual systems to managing end-to-end services, including outage management, meter-to-cash, generation dispatch and customer operations. This shift is essential for AI, which depends on understanding how systems interact to deliver business outcomes. Utilities with more integrated, service-centric models tend to see higher responsiveness, efficiency and coordination across IT and OT environments.

2. Asset and configuration governance: AI-driven insights depend on accurate and trusted asset information. Effective configuration and asset management provide visibility into dependencies across IT and OT, context for incident correlation and impact analysis and reliable data for predictive and prescriptive analytics. Organizations with mature asset and data governance demonstrate faster outage recovery, higher asset utilization and improved decision quality.

3. Change, incident and risk management: Utilities operate in hybrid environments spanning legacy systems, cloud services and field devices. ITSM establishes governance models that balance agility with safety. Disciplined change, incident and problem management reduces unplanned outages during modernization, improves audit readiness and supports more controlled automation and AI-assisted actions.

4. Bridging IT and OT through governance: One of the most persistent challenges in energy and utilities is the divide between IT and OT. ITSM provides a common management language for accountability, prioritization and decision-making. By focusing on services, risk and outcomes rather than technology silos, organizations are better positioned to coordinate IT and OT changes, understand operational impact and scale analytics and AI responsibly.

Regulatory reality: The NIST Cybersecurity Framework and U.S. Department of Energy guidance explicitly call for lifecycle management, accountability and incident response capabilities that closely align with ITSM principles. As AI becomes embedded in operations, these controls are essential for maintaining public and stakeholder trust.

AI will play a defining role in transforming the energy and utilities sector, but technology alone will not determine success. Utilities that prioritize service clarity, disciplined governance and trusted data will be better positioned to turn AI from experimentation into sustained value. In this environment, foundational disciplines such as ITSM serve become core enablers of reliability, compliance and coordinated decision-making across IT and OT environments.

By strengthening these capabilities, utilities can turn AI investments into measurable, repeatable results while maintaining the levels of safety, compliance, and performance the industry requires.

Weaver Can Help Build AI-Ready Service Foundations

Is your organization ready to build an AI-ready service management foundation? Scalable, responsible AI adoption in utilities depends on the strength of the operational foundation beneath it. Weaver works with utility leadership teams to assess current capabilities and define practical steps to move forward.

If you’re evaluating how to strengthen your foundation and adopt AI with greater confidence, contact us.

©2026

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