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Commodity Management & Trading

Transforming trading ecosystems through data-driven insights and secure, agile platforms that empower global commerce.

Customer & Marketing Strategy

Reimagining customer engagement with personalized, connected experiences that build trust and long-term value.

Digital Engineering

Turning ideas into scalable digital solutions—accelerating transformation through design, technology, and engineering excellence.

Station Studio

Redefining mobility hubs with digital innovation to create smarter, sustainable experiences for people and businesses on the move.

Supply Chain & Industry 5.0

Building resilient, intelligent supply networks that anticipate change and deliver efficiency with purpose.

Sustainability

Driving responsible innovation to help organizations achieve net-zero goals and create a positive impact for future generations.

Physical AI

Physical AI gives machines, robots and physical operations the ability to perceive their environment, decide what matters and act in real time. Factories, plants, stores and infrastructure become systems able to sense conditions, learn from them and improve on their own, closing the gap between the physical and the digital world.

Next-Gen Infrastructure

From networks as infrastructure to connected platforms that enable critical, autonomous and intelligent operations.

3% more invoices per person in an automated Procure-to-Pay cycle

Purchasing teams spent hours on each invoice, and the cycle had gaps in control. NTT DATA reviewed operations, tools and the organizational model, then built a roadmap with four automation scenarios. Each person in the process now handles 43% more invoices, and the process runs with 34% fewer full-time employees.

3% more invoices per person in an automated Procure-to-Pay cycle

43% more invoices per person in an automated Procure-to-Pay cycle

Contact

Utility operations specialist reviewing aligned grid, asset, field and operational data, illustrating the governed evidence foundation behind accountable AI-supported decisions.

Report

Utilities

Generation & Renewables

Transmission & Distribution

Energy Supply

The Data Foundation for the AI Utility Interactive

5 Oct 2026

Executive perspective

AI readiness starts with decision-grade evidence

Utility teams must be able to reconstruct the evidence and approvals behind material AI-supported decisions.

At a glance

Four conditions for governed utility AI

Four conditions determine whether utility AI can move into governed operations.

Sector coordination is increasing

The March 2026 framework proposes common standards, a coordination function and four initial data domains.

Evidence must follow the decision

Records should connect source data, context, model version, approval, action and outcome.

Duplicated foundations raise costs

Separate identities, pipelines, permissions and definitions make AI programmes harder to govern and replace.

Operational ownership stays human

Named owners, thresholds, fallback and override rules keep recommendations inside accountable utility workflows.

What leaders should do

Trace one material decision from source data and approvals to its recorded outcome.

Download the report and examine the evidence chain for accountable utility AI.

Download the full prespective

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