Practice Area

Energy

An AI-native operating model for the modern energy enterprise, from upstream assets to the grid edge to the customer meter.
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The energy transition, AI, and aging infrastructure are reshaping how energy is produced, delivered, and consumed. AI delivers maximum value in energy when informed by deep operating expertise. Without domain-specific models and workflows, AI remains generic and underpowered.

Coverage Across the Energy Value Chain

Field Service Management (FSM)

Streamline technician dispatch, work order management, and field crew scheduling across distributed assets, substations, and remote sites

Asset and Configuration Management (ITAM / CMDB)

Build a unified, real-time inventory of physical and digital assets — from generation equipment to grid infrastructure — with full lifecycle visibility

IT Operations Management (ITOM)

Monitor operational technology (OT) and IT environments together, reducing mean time to detect and respond to incidents across critical infrastructure

Service Portfolio and Demand Management (SPM)

Align capital projects, technology investments, and operational demand to strategic outcomes with full visibility from intake to delivery

Customer and Employee Workflows (CSM / HRSD)

Modernize customer service operations and employee experiences — from outage communications to service request fulfilment — on a unified platform

Enterprise Architecture and Technology Intelligence

Rationalize the technology estate, reduce redundancy, and map capability dependencies across complex, often legacy-heavy environments

Operational Technology Management (OTM)

Bring generation, transmission, and plant-floor OT assets under managed service — OT visibility, vulnerability response, and segmented incident handling governed alongside IT without compromising the safety boundary

Custom Application Development

Energy operations rarely fit an out-of-the-box module. We build scoped applications on the Now Platform — outage coordination, land and right-of-way, permit and inspection tracking, turnaround planning — retiring spreadsheets and legacy tools onto governed infrastructure

Regulatory Compliance and Risk (IRM)

Continuous control monitoring, evidence capture, and audit-ready reporting for NERC CIP, FERC, and state commission obligations — compliance treated as a live operational workflow rather than an annual scramble

Domain-grounded models and governed workflows — the difference between generic AI and energy AI.

How We Power Your Platform

01
AI embedded from day one
We architect AI into the platform from the start: intelligent routing, automated work order assignment, predictive maintenance triggers, and natural language service interactions — not bolted on after implementation
02
Now Assist for FSM and CSM
Generative AI capabilities embedded directly into field service and customer workflows, reducing handle time, automating case summaries, and improving technician and agent productivity
03
Agentic workflow design
Autonomous agents that monitor operational thresholds, escalate anomalies, and coordinate cross-functional responses without manual intervention
04
Unified data model across OT and IT
We configure ServiceNow’s CMDB and Discovery capabilities to bridge operational technology and IT environments, giving leadership a single, trustworthy view of the estate
05
Governance-first architecture
Energy operates under NERC CIP, FERC, and state commission oversight, with regulators able to request evidence at any time. Every platform we build includes defined escalation paths, change control processes, and audit trails — essential in regulated energy environments where compliance is not optional
06
Agile delivery, measurable milestones
Our six-stage delivery methodology (Establish → Inception → Pre-Construction → Construction → Transition → Operational Hand-Off) ensures the platform is delivered in controlled, client-accepted phases with no surprises at go-live
07
AI-accelerated delivery
Our internal AI delivery engine generates user stories from discovery sessions, automates test case creation, and continuously monitors project health — compressing timelines without compromising quality

Results We Drive

Reduction in mean time to resolve (MTTR)

Organizations implementing ITOM and CMDB on ServiceNow report up to 60% reduction in MTTR for critical infrastructure incidents through improved visibility and automated escalation

Field service efficiency gains

Utilities and energy operators using ServiceNow FSM report 20–35% improvement in first-time fix rates through intelligent scheduling, knowledge article integration, and mobile-enabled technicians

Asset visibility improvement

CMDB implementations across complex asset portfolios typically achieve 70–85% asset discovery accuracy within the first 90 days, compared to fragmented legacy inventories

Faster time to value

Naitiv’s AI-native delivery model compresses implementation timelines by embedding automation throughout the delivery process — reducing the average gap between contract signature and go-live

Domain-grounded models and governed workflows — the difference between generic AI and energy AI.

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Naitiv helps organizations design, govern, and operate intelligent platforms by embedding AI into architecture, data, and workflows—so transformation is scalable, controlled, and repeatable.