Utility field workers awaiting validation while an engineer reviews operational data on a laptop at an electrical substation.
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AI Assistants for Utility Operations

A context aware AI layer that brings trusted operational knowledge into the moment of work helping utility teams respond faster without removing human judgment.
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More systems should mean more insight. Too often, they mean more searching
WHY THIS UTILITY OPERATIONS CHALLENGE?
When information fragments, response slows

Operators, engineers and maintenance teams work across operational systems, asset platforms, technical documentation, procedures and historical records. During incidents or complex situations, moving between those sources can increase response times and workload while experienced technical resources are becoming increasingly difficult to replace.

Key benefits
The right operational knowledge, in the moment it matters

AI Assistants create an intelligent layer across operational knowledge and systems bringing relevant information into the context of the asset, activity and task being performed.

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Turn system hopping into direct access

Ask in natural language and retrieve relevant operational information without navigating multiple applications and repositories.

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Bring the incident into focus

Surface recent alarms, similar historical events, affected assets and relevant operating procedures when teams need them.

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Prepare before the truck rolls

Review asset history, previous interventions and technical manuals before maintenance teams travel to site.

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Keep expertise moving through the workforce

Make accumulated operational knowledge easier to access, preserve and transfer between experienced and newer employees.

How NTT DATA helps

01
Create one intelligent layer across operations

Connect generative AI with authorized sources including SCADA, EAM, GIS, maintenance history, technical documentation and operational procedures.

02
Put context around every request

Use role, asset and operational context to identify the information most relevant to the activity or situation being managed.

Utility operations specialist reviewing network maps, system conditions and operational data across multiple control-room displays to add real-time context around requests and support more accurate, informed utility decisions.
03
Reduce repetitive operational work

Support shift summaries, maintenance reports, incident documentation and operational handovers freeing technical teams from recurring administrative effort.

Utility field technician using a digital tablet beside a service vehicle to access work orders, asset information and field updates, reducing repetitive administrative tasks and allowing more time for higher-value operational work.
04
Build trust and governance into the model

Respect access permissions, ground recommendations in trusted information and apply AI governance appropriate for critical operational environments.

Utility professionals reviewing AI-assisted operational information together on a laptop to validate outputs, strengthen governance and build trust through human oversight, shared accountability and transparent decision-making.
05
Keep human judgment in command

We don’t replace operators or engineers. We augment their capabilities while keeping operational and safety-critical decisions subject to human validation.

Utility operations specialist reviewing AI-assisted grid information alongside real-time network data, keeping human judgment, operational experience and final decision authority at the center of utility decision-making.
Utility field engineer overlooking a high-voltage distribution network and surrounding service territory at sunset, representing the real-world operational impact of AI-assisted utility intelligence on reliability, visibility and resilient infrastructure management.
Proven impact
Faster access. Less administrative drag. More time for operational judgment
Results that matter
More time for the work that moves operational forward

Indicative objectives vary with process complexity, information quality, system integration and adoption.

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Cut time spent searching operational information

Reduce search time by 30–50% by providing direct access to relevant asset, operational, procedural and historical information across connected systems.

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Reduce administrative workload

Cut administrative workload by 20–40% by assisting with recurring reporting, documentation and information-preparation activities.

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Increase operator / engineering productivity

Improve operator and engineering productivity by 15–30% by reducing time spent finding information and allowing teams to focus more on analysis and technical judgment.

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Accelerate shift reporting and documentation

Reduce shift reporting and documentation effort by 30–50% by helping teams consolidate operational events, activities and relevant context into structured outputs.

Give utility professionals faster access to the knowledge behind every operational decision

Put operational intelligence to work where it matters most.

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