Services AI Integration Indoors Migration triggers Industries Challenges About Where to start Get in touch β†’
Architecting Spatial Intelligence
Esri Partner Network Member

Building Enterprise GIS
Ready for the AI Era

We architect the infrastructure behind AI-powered spatial intelligence β€” designing, migrating, and operating ArcGIS Enterprise, then building the agentic layer on top.

Enterprise GIS for
Electric & Gas Telecom Water & Wastewater State & Local Gov Renewables
Enterprise Architecture Stack
AI Agents & Integration
MCP Β· A2A Β· RAG Β· Assistants
ArcGIS Enterprise
Portal Β· Server Β· Identity Β· Sharing
Data & Services
Feature Β· Map Β· Imagery Β· Analysis
Infrastructure
AWS Β· Azure Β· On-Prem Β· Hybrid
We design, build, and operate every layer β€” and the amber one is where the next decade of value sits.
Architect
System design for scale, resilience, and AI readiness
Migrate
On-prem to cloud, version to version, without downtime
Operate
Monitoring, patching, tuning, and support β€” day two onward
Extend
MCP servers, custom agents, and RAG on your spatial data
What we do

End-to-end ArcGIS Enterprise, from architecture to agents

Six services covering the full life of an Enterprise GIS platform β€” designing it, moving it, running it, extending it with AI.

GIS AI Integration

We build on Esri's AI platform β€” not around it

Esri built geospatial AI on three tiers: GeoAI models, assistants inside the apps your teams already use, and agentic AI reaching ArcGIS through Model Context Protocol. Most of it is early, and lands in ArcGIS Online first. Making it work inside a governed Enterprise deployment is the part nobody ships for you.

How AI reaches your GIS
Claude Β· ChatGPT Β· Copilot
AI host
ArcGIS MCP Server
GIS capabilities exposed as tools
ArcGIS Enterprise Portal
identity Β· content Β· sharing
Feature Services
Geoprocessing
Enterprise auth Role-based access Full audit trail
Ask in plain language

“Which transformers within 500 m of the outage haven't been inspected in two years?”

The agent plans the query, calls the right feature services with spatial and attribute filters, and returns an answer on a map. No one had to know which layer it lived in.

Where AI lives today
ArcGIS Online
Where assistants ship first β€” a handful generally available, the rest in beta or preview.
ArcGIS Enterprise
A narrow subset, arriving later. Everything else is either Online-only or something you build.
Agentic layer
MCP and the JS Maps SDK AI components β€” beta, and open to extension. This is where we work.

This picture changes with every ArcGIS release. Tracking it against your deployment is part of what we do β€” ask us where yours stands.

ArcGIS Indoors

Turning building models into operational intelligence

Campuses, airports, hospitals, and corporate real estate hold spatial data that never reaches the enterprise. We bring it in β€” a floor-aware foundation first, positioning and integration as operations demand.

Delivered with a BIM and digital-construction partner, so the handoff to operational GIS is engineered rather than redrawn.

CampusesAirportsHospitalsCorporate Real EstateStadiums
Core implementation
The floor-aware foundation
Indoor data transformation
Revit, IFC, CAD, and legacy floorplans converted into the ArcGIS Indoors Information Model, automation first.
Floor-aware mapping & routing
2D and 3D maps with door-to-desk navigation accounting for elevators, stairs, and accessibility.
Space management & analytics
Hoteling, reservations, and utilization dashboards showing how space is actually used.
Occupant experience
Web and mobile wayfinding for staff, patients, passengers, and visitors.
Advanced modules
Added as operations scale
Indoor positioning (IPS)
The blue-dot experience end to end β€” BLE and Wi-Fi strategy through on-site RF survey and calibration.
Enterprise system integration
Indoor maps connected to Maximo, ServiceNow, or Cityworks so work orders carry true spatial context.
The clock is already running

Some modernization decisions have dates attached

Modernization gets deferred because nothing forces it. Increasingly something does. Esri publishes retirement schedules well ahead, so the work is plannable, budgetable, and defensible to anyone asking why now.

Deprecation horizon
Illustrative sequencing β€” the specific dates depend on your deployment
PLANNED MIGRATION WINDOW FORCED Β· UNBUDGETED Β· DISRUPTIVE TODAY Certificate lifecycles shortenrecurring operational loadDatabase support cliffplatform falls off supported listProduct retirementsuccessor path requiredFinal release of a deprecated componentmigration, not upgradeLegacy application end-of-lifefails on the next upgrade around it
The gap, measured
~1 in 3
utility executives report an enterprise strategy for geospatial intelligence
~1 in 5
have a centralized or fully integrated geospatial architecture
60%+
are directing at least 15% of capital toward resilience initiatives

The money is committed. The architecture underneath it mostly isn't. That distance is the work.

Source: Deloitte survey of US investor-owned utility executives, 2026

Industries

Built for the sectors where spatial data is mission-critical

Depth in a few industries beats breadth across many. These are the environments our architects have spent their careers inside.

How we deliver

A sequence, not a menu

Every engagement moves through the same five stages, each producing something concrete before the next begins.

Where to start

Fixed scope, fixed fee, a deliverable you own

Each one is a defined piece of work with a defined end β€” no open-ended hours, no discovery that quietly becomes the project. Most clients start here, then decide what comes next.

What "AI-ready" actually means
The path from a layer nobody can find to one an agent can cite
Raw layernamed, and little elseItem metadatasummary, tags, limitsField descriptionspurpose of every fieldDomains rationalizedvalues machine-legibleAuthoritative catalogone source, cited MACHINE LEGIBILITY Invisible to search and to AI Findable, interpretable, citable
Readiness profile
What the assessment scores β€” and a typical starting shape
Data qualityMetadataArchitectureIdentity & accessGovernanceUse cases Typical starting point AI-ready target
Start a conversation Not sure which fits? A 30-minute call usually settles it.
About

Architecting Spatial Intelligence

Founded in 2020 by Enterprise GIS professionals who spent their careers inside large, complicated ArcGIS environments β€” utility networks with millions of assets, nationwide telecom infrastructure, statewide government platforms.

The premise was simple: organizations deserve a partner who goes deep on architecture and engineering, not just configuration. As Esri turns ArcGIS into a geospatial AI platform, that premise points somewhere new.

Esri Partner Network Member
Dallas, Texas  Β·  nationwide
We build, we don't just advise
Engagements end with working systems, documentation, and a team that can run them β€” not a slide deck.
Enterprise GIS is all we do
No general IT practice, no side business. Depth in ArcGIS Enterprise is the entire proposition.
Aligned with where Esri is going
As an Esri Partner Network Member we build on the platform roadmap, including the AI framework as it ships.
Cloud and GIS in one team
AWS and Azure architecture plus ArcGIS administration in the same engineers β€” nothing lost between two vendors.
Start here

Ready to Build the Next Generation of AI-Ready Enterprise GIS?

Whether your ArcGIS environment is mature and multi-tier or you're just beginning to map out a GIS strategy, we meet you where you are. Tell us what you're running and where you want AI to take it β€” we'll come back with an honest read: a modernization plan, a migration path, or the shortest route to a production-ready agent.

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