Energy

AI that powers operations, not just dashboards

Energy organizations balance reliability, safety, regulation, market volatility, and rising customer expectations across fragmented OT and IT systems. Datafi unifies the operational picture so AI can reason and act across the enterprise.

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Energy companies aren't short on data. AI initiatives stall because operational data is fragmented, decisions are siloed, and governance can't keep pace.

Fragmented Operational Data

OT systems, historians, SCADA, ERP, asset management, GIS, maintenance, finance, and customer records all contain partial truth. Employees struggle to see the full picture because data remains disconnected by function, team, or workflow.

Siloed Decision-Making

Decisions depend on a mix of operational, financial, regulatory, and workforce data that lives in different systems owned by different teams. The people closest to the problem rarely have access to the full context they need.

Governance & Compliance at Scale

AI can't introduce risk or break process discipline in an industry managing regulated environments, critical infrastructure, and sensitive decisions. Expanding AI requires governance, observability, and policy-driven control built in from day one.

The Operating System

An operating system built for energy's complexity

A vertically integrated data and AI stack that unifies OT and IT, applies governance at every layer, and delivers AI capabilities through an interface every role can use.

1 unified

Data Experience

Every employee interacts with the complete operational picture through a single interface

100% governed

By Design

Policies, controls, permissions, and oversight built into every AI interaction

OT+IT connected

Full Context

Historians, SCADA, ERP, GIS, maintenance, and finance systems unified

Every role

Enterprise Wide

Plant managers, traders, dispatchers, compliance leads, and field supervisors

Use Cases

AI agents for critical energy operations

AI that operates across OT and IT systems: monitoring assets, accelerating response, ensuring compliance, and supporting commercial decisions with full operational context.

Asset Performance & Predictive Maintenance

Identify issues before they become failures

Connect asset history, work orders, performance trends, and technician notes to surface early warnings. AI agents analyze patterns across the fleet to recommend interventions before unplanned downtime occurs.

Asset history and work order correlation

Performance trend analysis across the fleet

Early warning detection and risk scoring

Maintenance prioritization and scheduling recommendations

Asset Health Monitor Fleet Health 94.7% Active Alerts 12 MTBF (hrs) 8,420 Critical 2 Vibration Trend — Turbine T-07 RISING BASELINE AI Bearing degradation detected — T-07 Schedule maintenance within 72h to prevent unplanned outage
Operations Command Center Control Center Sub A ONLINE Sub B ONLINE Sub C FAULT Sub D LOAD HIGH Incident active Sub C — feeder fault detected 4m ago AI Reroute load via Sub D — 2 crews available Estimated restoration: 45min; affected customers: 1,200

Operations & Incident Response

Respond faster when disruptions hit

Bring together live conditions, resource availability, and established procedures to accelerate response. AI agents coordinate information across systems so operators can act decisively during outages and incidents.

Real-time condition monitoring and alerting

Resource availability and crew dispatch optimization

Procedure-guided response recommendations

Post-incident analysis and reporting automation

Regulatory Compliance & Reporting

From manual effort to traceable workflows

Coordinate information from multiple systems into auditable, traceable compliance workflows. AI agents reduce the manual burden of evidence gathering, report assembly, and regulatory submissions.

Automated evidence gathering across systems

Audit-ready report generation and tracking

Regulatory change monitoring and impact analysis

Compliance status dashboards and gap identification

Compliance Workflow Tracker NERC CIP-007 System Security Mgmt 80% 12 of 15 controls verified EPA REPORT Emissions Q1 2026 Done Audit Checklist Evidence collected Data validated Cross-system reconciled Manager review Final submission 3 of 5 complete AI 3 gaps found in CIP-007 evidence Auto-gathering missing patch logs from asset management system
Energy Market Dashboard Day-Ahead Price ($/MWh) PEAK Long Position +240 MW Next 24h Portfolio Value $4.2M +3.1% today Risk Exposure Medium VaR: $180K Scenario A: Hold position • Scenario B: Hedge at $52/MWh • Scenario C: Increase long 50MW AI Recommend Scenario B — weather model shows demand drop Hedging at $52 locks in $380K margin; wind generation up 18% forecast

Commercial Planning & Energy Trading

Align operational realities with business objectives

Make operational data and market intelligence visible in the same environment. AI agents support trading decisions, portfolio optimization, and scenario planning with full enterprise context.

Market price tracking and position management

Portfolio optimization and risk assessment

Scenario analysis with operational constraints

Demand forecasting and generation planning

Enterprise Benefits

A unified data experience for every employee in energy

When operations, trading, compliance, and field teams use different systems and different assumptions, decisions become slower and riskier.

A unified data experience makes it possible to find, trust, and act on the same operational truth everywhere, reducing friction across the entire decision cycle.

Faster Decisions

Real-time operational context available to every role without chasing data across systems

Better Decisions

AI reasons across the full picture: OT, IT, financial, and regulatory data together

Consistent Execution

Governed workflows ensure repeatable, auditable processes across the enterprise

Reduced Friction

Less time reconciling systems and more time applying judgment where it matters

The Platform

A complete stack purpose-built for energy

Every layer of the Datafi platform serves a role in turning AI from isolated experiments into enterprise-wide operational capability.

Outcomes

Operational confidence at enterprise scale

Transformative outcomes in energy don't come from better dashboards. They come from AI that can action data across the full operational picture. Governed, auditable, and trusted.

Lower Operational Risk

Predictive maintenance, governed workflows, and full audit trails reduce the likelihood and impact of failures across critical infrastructure.

Faster Response

AI agents assemble context in minutes, not hours. Incident response accelerates, compliance cycles shorten, and teams act before issues escalate.

Stronger Foundation

A unified, governed platform that compounds value with every new use case, building institutional capability instead of isolated experiments.

Build AI into your energy operating model

A practical, scalable path to lower risk, faster response, and a stronger operational foundation, powered by AI designed to do more than talk.

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