Automating spatial planning dossiers with a custom AI workspace
A 13-step AI workspace for gathering planning data and drafting environmental dossiers.
15 minutes, no obligation · No sales pressure
Rho Adviseurs
Rho Adviseurs, a Dutch spatial planning consultancy, needed to prepare BOPA dossiers faster under the new Environment and Planning Act (Omgevingswet). We developed RHOPA to help consultants build, substantiate and export legal dossiers in one workflow.
Writing a BOPA substantiation involved repetitive work with room for errors. Consultants spent most of their time gathering location and cadastral data, reviewing policy at five government levels and manually assessing over twenty physical environment themes. This left less time for professional judgement and legal analysis.
A look inside
What SevenLab built
SevenLab built a 13-step guided wizard that integrates over ten Dutch government data sources and uses Retrieval-Augmented Generation (RAG) to draft dossier chapters. A sovereign LiteLLM proxy manages model selection. AI-generated claims include source citations, while consultants remain accountable for all legal decisions.
13-step guided wizard
A structured workflow that maps directly to house-style templates for consistent dossier building.
Automated data integration
Real-time connections to Kadaster, PDOK, and DSO for instant cadastral and elevation data retrieval.
Traceable RAG generation
AI-drafted chapters with mandatory source citations and guardrails to prevent data hallucination.
Environmental theme screening
Automated assessment of 25+ themes including noise, air quality, soil, and external safety.
Measurable business impact
RHOPA lets consultants prepare a complete first draft faster by automating data gathering, environmental screening and policy review. Reports include source citations and follow the Rho house style.
The ability to gather data from ten different government sources in under a minute has fundamentally changed our workflow. We can now focus our expertise on the professional judgement and legal nuances of a project, knowing the foundational data and drafts are handled accurately by the AI workspace.
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