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AI Agents for Utility Operations
Maintenance, incident management and engineering workflows often require employees to gather information, interpret it, move between systems and coordinate the next action manually. Traditional automation works well when workflows are predefined but becomes less effective when tasks change with context or depend on unstructured information.
AI Agents can take an objective, determine the required steps and coordinate authorized actions across systems reducing manual orchestration while preserving human oversight.
Agents can reason through the steps required instead of relying only on rigid, predefined workflows.
Reduce manual information transfer between applications, departments and operational teams.
Gather asset history, procedures and resource information so specialists can focus on validation and judgment.
Extend specialized operational knowledge across larger teams without increasing coordination workload at the same rate.
How NTT DATA helps
Create specialized capabilities for maintenance, operations, engineering, assets, workforce and customer operations rather than generic AI assistance.
Combine reasoning, enterprise knowledge, workflow orchestration and controlled system access to support multi step operational processes.
Enable agents to retrieve history, assess previous interventions, identify procedures, verify resources and prepare recommendations for human approval.
Apply permissions, APIs, workflow controls and approval gates so higher-risk actions remain subject to stronger safeguards and validation.
We don’t treat autonomy as the goal. We design for traceable actions, approved data sources, cybersecurity controls and escalation to human experts.
Indicative objectives depend on process complexity, system integration, governance and the degree of automation deployed.
Reduce workload by 20–40% by automating information gathering, system coordination and routine process preparation across teams.
Reduce preparation time by 20–40% by bringing together asset history, procedures, operational context and required resources automatically.
Reduce preparation time by 20–40% by bringing together asset history, procedures, operational context and required resources automatically.
Reduce manual system interactions by 30–50% by enabling authorized agents to retrieve and coordinate information across connected operational and enterprise platforms.
Put AI Agents to work across the processes that matter most
