Faster path to Utility Network with Agentic Migration

Built on Esri & Schneider Electric's UN migration methodology, Turgon’s AI agents reduce migration timelines up to 80%, while your GIS team stays in full control.

Schneider Electric Technology Partner

60-80% faster

Agentic vs. typical manual UN migration

99.99% accuracy

Geometric Network to Utility Network agentic migration

440 hours saved

By one utility's GIS team in their Turgon proof of concept

Built in partnership with Schneider Electric

Turgon’s Utility Network migration AI agents are trained on Schneider Electric's ArcFM UN Configuration and Esri's UN documentation. The result: GIS data that's operationally ready on day one.  

On a Schneider Electric sample Geometric Network data set, Turgon completed the UN migration in 4 weeks, vs the typical 14 weeks.

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“Turgon brought a new approach to one of the hardest problems in utility GIS. As an energy technology partner to utilities, we are putting AI to work on the practical problems that slow modernization down.”

Matt Schnugg

Chief Product Officer, Schneider Electric Digital Grid

Matt S., Chief Product Officer

How it works

Agents do the work, GIS experts approve it

Faster data migrations with expert sign-off at every step

01.

AI Knowledge Base

Turgon’s agents draw on Esri & Schneider Electric's UN documentation, the utility’s own data, and learnings to continuously improve accuracy.

02.

Data Quality Assessment

Agents inventory every table, field, function, and dependency in the source and target geodatabases, and run a full data quality check.

03.

GN to UN Schema

Two agent loops map GN asset groups and types to UN, then aligns fields, subtypes and columns. Agents validate every step.

04.

Validation & Migration

Agents propose fixes and cut down validation errors for GIS expert review. Agents create migration scripts to load into the target system.

Utility network map with agent-mapped assets highlighted
Utility network map with agent-mapped assets highlighted
Utility network map with agent-mapped assets highlighted
Utility network map with agent-mapped assets highlighted

Security and compliance for critical infrastructure

Dedicated deployment, full audit trail, and zero model training on your data.

You choose where it runs

A dedicated VM on-premises, in Schneider Electric's hosting, or in a cloud region that meets your residency rules.

Complete audit trail

Every login, data change, and model prompt is logged for full observability and auditability.

Your geometry stays put

Models see schema and labels only. Raw network geometry never leaves your environment.

No model training

A screening layer strips proprietary and personal data. None of your data trains a model.

When agents lead UN migration

Traditional Migration

Field-by-field manual mapping

Waiting on scarce GIS experts

Errors found late

12 to 18 month completion

Turgon’s Agentic Migration

AI-driven schema mapping

Best practices encoded into agents

Validation at every stage

3 to 6 month completion

Walk through a live demo and see how AI agents and GIS engineers work together