Agentic AI platform
DgineAI
Our expertise. Your capability.
DgineAI operationalizes the utility engineering knowledge SVG built through years of consulting and engineering delivery. It is not a general AI product fitted with a utility prompt — it is our own design practice, running as software. AI-assisted Distribution Planning and Engineering results in:
DgineAI is SVG's flexible, extensible Agentic AI platform, combining our management consulting and engineering experience with a repeatable methodology for automating core utility workflows.
Built for the electric utility industry, DgineAI provides intelligent agents that execute complex engineering and operational processes, incorporating utility-specific standards, business rules, and institutional knowledge. Rather than requiring utilities to develop AI capabilities from the ground up, DgineAI offers a foundation of proven workflows and configurable agents that accelerate adoption and deliver measurable results.
Utilities deploy existing agents, adapt them to their own requirements, or develop entirely new capabilities — independently or in collaboration with SVG.
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Platform capabilities
Purpose-built agents
AI agents built for utility engineering and operational workflows, not adapted from general-purpose tooling.
Configurable knowledge and standards
Utility-specific engineering practices, business rules, and institutional knowledge, configured per utility.
Intelligent workflow orchestration
Automates complex, multi-step processes from intake through to release.
Engineering intelligence
Supports design, analysis, validation, and decision-making across the work order lifecycle.
Enterprise integration
Connects GIS, work management, enterprise asset management, and other operational systems.
Extensible architecture
Utilities configure, develop, and expand their own agents and workflows — independently or alongside SVG.
Human oversight and quality assurance
Supports transparency, consistency, and continuous improvement at every step.
How it works
From notification to approved design.
Five stages. The engineer holds authority at the one that matters.
Notification and asset data ingested
DgineAI parses notifications from Utility work management — API or PDF — and reads asset master data and attributes in parallel from the enterprise asset management system. Key fields and circuit references extracted with no manual re-keying.
GIS context pulled
The agent queries Utility GIS for circuit topology, existing assets, and spatial context around the work location, giving the canvas a spatially accurate foundation.
Draft design generated
Multi-agent reasoning applies SVG-curated design standards and compatible units to produce a draft aligned to regulatory and utility standards for the specific notification type.
Engineer reviews and approves
The design engineer reviews, edits, and approves. Nothing is issued without that approval, and the platform captures every correction to improve the model.
Published from the design record
Held inside DgineAI as a compatible design diagram, DgineAI releases the approved design as industry drawing formats such as AutoCAD DWG, structured JSON, or secure services into Utility design workflows.
Security and responsible AI
Built for the controls a utility has to answer for.
DgineAI runs inside Utility's environment, under Utility's identity controls, with a design engineer holding final authority over everything produced.
Where authority and accountability sit.
Where the platform runs and who can reach it.
ISO 27001 certification is in progress, with security controls monitored continuously through Vanta. We confirm specific controls, retention periods, and deployment architecture per engagement during the month-one security review. View SVG's Trust Center (opens in a new tab)
Use cases
Every notification type, designed for.
DgineAI runs in production today, trained on the high-volume replacement notifications driving the capital backlog. The roadmap extends to higher-complexity planning work.
Trained and running now. An engineer approves every design before it is issued.
Pad-mount equipment replacement
Ground-level pad transformers, switchgear, and capacitor banks. Parses corrosive area flags and environmental remediation notes.
In productionPole-mount equipment replacement
Overhead transformer, switch, and capacitor bank swap. Selects compliant CUs and generates the overhead design sketch.
In productionPole replacement
Parses PLW survey sheets for height, class, subtype, and treatment; generates SPIDA input.
In productionSecondary changes
Network modifications downstream of the transformer — conductor, service drops, and splices.
In productionService notifications
Field-observation-driven notifications for service faults, meter base changes, and residential replacements.
In productionNot yet automated. The architecture supports these without re-engineering; each waits on design-standards curation for that work type.
Make-ready engineering
Pole attachment analysis and design for communications attachments.
RoadmapStorm response
Emergency design for storm damage restoration — rapid assessment under outage conditions.
RoadmapNew residential and small commercial
Subdivision and small commercial service design — high volume, strong automation candidate.
RoadmapCircuit upgrades
Capacity upgrades, reconductoring, and voltage conversions — multi-asset design programs.
RoadmapLarge commercial customers
Industrial and large commercial new loads — metering, switchgear, transformer sizing.
RoadmapSolar, PEV, and DER interconnection
Rooftop solar, EV charger, and battery storage interconnection.
RoadmapNew overhead circuits
New-build overhead distribution — poles, conductors, and hardware.
RoadmapNew underground circuits
Conduit, duct banks, and underground cable new build.
RoadmapSystem-wide load studies
Planning studies feeding capital work order generation — load flow and capacity analysis.
RoadmapWhy SVG
Domain depth meets enterprise AI.
Generic AI tools don't know what a compatible unit is. DgineAI does — because distribution engineers built it.
Engineering-led
The platform comes with the engineers who wrote its standards, and the change management experience to land it. An engagement model, not a software license.
Human-in-the-loop
A design principle, not a disclaimer. Engineers approve every recommendation, and their edits improve the model.
Secure deployment
Utility's approved cloud environment, network isolation, MFA, and role-based access. Customer data never reaches an external LLM and is never used for training.
Certified MBE
NMSDC-certified and registered with the California PUC Supplier Clearinghouse — meeting diversity supplier requirements for utility procurement.
How we engage
Pilot, platform, managed operations.
Every utility operates differently — investor-owned, municipal, and public power alike. We scope around your notification volume, existing systems, and capital delivery goals — whether you engage us directly or through your contractors, systems integrators, and technology partners.
Business alignment pilot
A short, low-commitment exercise running a sample of your live work orders through DgineAI. Fit and gaps identified before any platform commitment.
Platform deployment
Full deployment in your approved cloud environment, integrated with enterprise work management, GIS, AUD, and Design Manager. Scoped to your notification types, standards, and compatible unit library.
Managed design operations
SVG's engineering and planning experts operate as an on-demand design bureau, absorbing overflow with DgineAI as the efficiency layer. Every design reviewed before hand-off.
Start with a business alignment pilot.
Run a sample of your live work orders through DgineAI. We identify fit, gaps, and a quantified business case — no upfront commitment, with dedicated SVG engineering support throughout.