vedtak.ai offers Vai, an AI-powered platform that streamlines Norwegian building permit processing by automatically reading applications, attachments, maps, and regulations. The system identifies missing information, highlights assessment points, and drafts response letters and decision texts while keeping final approval with human caseworkers. Built for municipal governance, Vai ensures traceability by citing sources and flagging uncertainties in every recommendation.
Funding
Funding not disclosed
Founders
Product
Problem
Norwegian municipalities processing building permit applications face heavy manual workloads, requiring caseworkers to read lengthy applications, cross-reference maps, regulations, and plans, and identify missing documentation. This time-consuming process often delays decisions and increases the risk of oversight, especially when dealing with complex cases like boundary disputes or flood-risk assessments.
Solution
Vai is an AI-driven platform that consolidates building applications, attachments, drawings, and site plans into a single case document, then analyzes them using artificial intelligence. It automatically connects relevant regulations (TEK17, SAK10), zoning plans, municipal land-use plans, and map data to the specific property and project. The system identifies gaps such as neighbor notifications, distance requirements, missing documents, and dispensation needs, and then generates draft deficiency letters, memos, and decision sections with cited sources. Caseworkers retain full control, able to approve, edit, or reject AI suggestions before any response is sent to applicants, ensuring professional accountability and legal soundness.
Target Audience
Municipal building permit caseworkers and administrative teams in Norwegian local governments who need efficient, verifiable AI support for processing construction applications.
Features
- Automated reading and structuring of building applications, attachments, drawings, and site plans into a unified case foundation
- Intelligent linkage of property-specific regulations, including TEK17, SAK10, zoning plans, and public map data (DOK)
- Early detection of deficiencies such as missed deadlines, neighbor notifications, distance violations, and dispensation requirements
- Draft generation for deficiency letters, map notes, checklists, and decision excerpts, each with explicit source references
- Transparent AI logic that marks discretionary assessment points and uncertainty, with all sources and control points visible to the caseworker
- Data residency in Norway/EU/EØS with DPA agreements, audit logging, and export/deletion capabilities for compliance