Whitepaper GeoAI & BIM-GIS Integration in Infrastructure Planning | MovingLayers 2026

How do leading infrastructure companies make better decisions despite growing complexity and talent shortages? Our GeoAI Whitepaper provides the answers.

This whitepaper shows how agent-based GeoAI systems fundamentally transform the planning, analysis, and assessment of infrastructure projects — from data integration to decision-making.

Download the whitepaper for free and discover how to:

• automate complex geodata processes
• significantly reduce planning timelines
• improve decision quality and traceability

The turning point in infrastructure planning

Rising regulatory requirements, fragmented data landscapes, and a structural talent shortage are putting increasing pressure on organisations in the energy and infrastructure sector.

At the same time, the complexity of spatial decision-making is growing — from route planning to site assessment. Traditional GIS approaches reach their limits here, as they primarily support isolated analyses rather than end-to-end decision processes.

BIM, GIS, and operator knowledge — on a shared data foundation

Infrastructure projects bring together four data worlds: BIM coordinators work in IFC models, GIS analysts with geodata and layers, network operators in CAFM systems, and authorities with regulatory distances and approval documents. Kermit GeoAI bridges these worlds — built on a shared data model and open standards (QGIS, PostGIS, WFS/WMS).

Agent-based GeoAI as a strategic lever

A new generation of systems enables for the first time the end-to-end automation of complex analysis processes.

The whitepaper shows how:

• intelligent integration of geodata sources
• automated orchestration of multi-stage analyses
• reproducible and auditable delivery of results

The focus is on the transition from tools to executing, process-driven systems.

Whitepaper contents

• Market and technology trends in GeoAI
• Challenges in infrastructure planning
• Architecture and functionality of agent-based systems
• Governance, compliance, and data sovereignty
• Concrete real-world use cases

Your concrete value

After reading, you will understand how agentic GeoAI supports your organisation in:

• strategically redefining data-driven decision processes
• standardising and scaling analysis workflows
• reducing dependency on scarce GIS resources
• meeting regulatory requirements in a structured way

Who is this whitepaper for?

• Executives in energy and infrastructure companies
• Managers responsible for planning, network expansion, and approval
• GIS, data, and digitalisation experts
• Strategic decision-makers in the public and private sector

Download the whitepaper for free
Register now and get direct access to in-depth insights into the next generation of infrastructure planning.

Further reading

• BIM and GIS: Where field data and AI analysis converge
• MovingLayers presents Kermit GeoAI at BIM.Infra Congress in Dresden

Where Kermit GeoAI sits in the geodata cycle

This white paper explores phase 3 of the geodata lifecycle, understanding and deciding. Kermit GeoAI adds an analysis layer to your existing GIS; its foundation is cleanly captured and well-prepared geodata from phases 1 and 2. Matching examples are in our use cases for decisions.