- Commodity Management & Trading
- Customer & Marketing Strategy
- Digital Engineering
- Station Studio
- Supply Chain & Industry 5.0
- Sustainability
Multi-Agent Utility Operations
A major incident, critical maintenance intervention or network constraint can simultaneously involve asset condition, operations, weather, workforce, inventory, customers and safety. Today, people remain responsible for bringing that distributed information together across departments and systems adding coordination effort precisely when speed and consistency matter most.
Multi Agent Operations distributes complexity across specialized AI capabilities each focused on its domain, while orchestration consolidates their inputs around a shared operational objective.
Combine asset, network, workforce, inventory, customer and safety perspectives before recommendations reach decision-makers.
Specialized agents exchange relevant information instead of leaving people to connect every dependency manually.
Make relationships between assets, people, materials and operating conditions visible earlier in complex workflows.
Add specialized agents as requirements evolve without proportionally increasing administrative coordination across teams.
How NTT DATA helps
Create distinct capabilities for operations, assets, maintenance, weather, workforce, inventory, customers and safety with clearly defined responsibilities.
Coordinate how agents analyze a situation, exchange information and consolidate recommendations instead of operating as isolated AI capabilities.
Bring together authorized information from EAM, APM, GIS, SCADA, workforce and inventory systems to support cross-functional decision preparation.
Define which agents can access each source, what actions they can perform and where human validation is required.
We don’t hand critical infrastructure decisions to autonomous agents. We design controlled environments where AI coordinates information and humans retain oversight.
Indicative objectives depend on process complexity, integration maturity, governance and degree of automation.
Reduce cross-functional coordination time by 20–40% by helping operations, maintenance, asset, workforce, inventory and safety functions exchange relevant information around the same operational objective.
Cut operational decision preparation time by 20–40% by consolidating specialized inputs, constraints and dependencies before recommendations reach the responsible decision maker.
Reduce manual information-gathering effort by 30–50% by bringing together authorized data from operational, asset, workforce, inventory and enterprise systems without requiring teams to collect it separately across departments.
Reduce complex workflow cycle time by 20–40% by identifying cross-functional dependencies earlier and coordinating the people, assets, materials and operational conditions required to move work forward.
Turn multi agent intelligence into scalable utility operations
