Natural language interaction
Ask the map to find, filter, analyze, style, summarize, and export without starting from tool names or SQL syntax.
AI Agents
AI agents are available in Plato GIS for map operations, spatial analysis, remote sensing, and layer management. Hydro GeoScientist applies AI agents to groundwater and well monitoring workflows. Agents are connected to 79 registered geospatial tools.
79 Registered Tools
AI-Guided Workflows
Natural Language GIS
Enterprise Spatial Automation
AI workflow agent demo
Watch the workflow agent break a request into tasks, run connected GIS tools, and return a reviewable result inside the same map workspace.
Agentic workflows
AI agents are connected to 79 registered geospatial tools that can inspect layers, run analysis, manage map content, generate outputs, query data, trigger monitoring workflows, and support decision-making tasks.
Ask the map to find, filter, analyze, style, summarize, and export without starting from tool names or SQL syntax.
The master orchestrator routes requests to specialist agents and keeps the workflow connected to map context.
Agent results stay grounded in visible map layers, outputs, and traceable geospatial evidence.
Domain agents can support well monitoring analysis for trends, quality, pressure, anomalies, and health review.
Worked examples
Real prompts, the workflow each one runs, and how you stay in control of the result.
“Buffer all monitoring wells by 1 km and list the parcels they intersect.”
The agent runs a buffer tool, performs a spatial join against the parcel layer, and adds the result to the map.
You see each tool call before it is applied and can interrupt the workflow at any step.
“Load Sentinel imagery for this area and highlight where vegetation changed since last year.”
The imagery agent pulls the right bands, computes the index, and renders a change layer in map context.
Outputs stay connected to visible layers and a traceable list of the steps that produced them.
“Summarize water-level trends and flag wells that look anomalous this quarter.”
The monitoring agent reviews the time series, surfaces trends, and lists wells that need attention.
Every conclusion links back to the underlying readings, wells, and map locations.
What 79 registered tools means
Agents do not improvise. They call governed, registered tools. Here is a representative sample of what those tools cover.
Add, remove, reorder, style, label, and query layers.
Buffer, overlay, statistics, contours, elevation profiles.
Load imagery, spectral indices, change detection, historical imagery.
Import, edit, filter, search, and export operational records.
Monitoring review, logger ingestion, log correlation, recharge.
Print layouts, PDF map products, and data export.
AI governance model
Enterprise GIS teams need automation that can be explained, reviewed, and controlled. The agent model is built around registered tools, permission boundaries, visible workflows, and map-grounded outputs.
A registered tool is an approved GIS operation the agent is allowed to call, such as adding a layer, running a buffer, querying records, loading imagery, or preparing an export.
Tools can be enabled, disabled, grouped, or scoped around the deployment model so the agent only operates inside approved GIS, data, and user-access boundaries.
The user can see the planned workflow, the tool being called, the inputs being used, and the result before it becomes part of the operational map.
Agent actions are designed to be reviewable through workflow steps, data context, and outputs that remain tied to map layers and operational evidence.
Product examples
The same agentic foundation is applied differently depending on the product context and user workflow.
AI-assisted map operations, spatial analysis, remote sensing, layer management, symbology, filtering, output configuration, and enterprise GIS productivity workflows.
AI-assisted well monitoring, groundwater interpretation, recharge suitability review, water-level analysis, and monitoring health workflows.
Governed autonomy
AI workflows should be useful to analysts and understandable to technical reviewers. SpatialTechSolutions keeps work grounded in agents, tools, map context, and visible outputs.
Add, remove, reorder, and style map layers.
Load imagery and support remote sensing workflows.
Run spatial analysis and analytical map outputs.
Keep AI workflows transparent, reviewable, and controlled.
Workflow evidence
Agent outputs stay grounded in the map. Every result links back to the layers, tools, and steps that produced it.
Request demo
Request a tailored walkthrough for Plato GIS, Hydro GeoScientist, enterprise GIS services, AI-enabled geospatial applications, groundwater monitoring, remote sensing, Data Hub workflows, 3D visualization, or spatial analytics.