The Common AI provides a no‑code AI copilot that automates code‑compliance checks for municipal permitting and licensing workflows. It ingests digital files, scanned documents, and other submission formats, generates transparent audit trails, and integrates with existing city software to cut review times from days to minutes.
Funding
Funding not disclosed
Founders
Product
Problem
Municipal permitting and licensing offices often rely on manual, paper‑based reviews that are time‑consuming, error‑prone, and difficult to track across diverse submission formats such as digital files and scanned documents.
Solution
The Common AI offers an AI‑driven copilot platform that automates code compliance checks for city plan‑review teams. By using a no‑code, drag‑and‑drop interface, agencies can configure AI workflows that ingest various submission types and apply detailed regulatory logic without extensive programming. The system generates transparent, traceable chains of thought for each audit, allowing reviewers to verify AI decisions quickly. Integrated with existing municipal software ecosystems, the platform delivers audit results in minutes, dramatically reducing review cycles while maintaining regulatory transparency.
Target Audience
Primary customers are municipal planning and permitting departments, code‑enforcement agencies, and local government IT teams seeking to streamline regulatory reviews.
Features
- Automatic code compliance analysis that handles digital files, scanned documents, and other common submission formats
- No‑code workflow builder with click‑and‑drag configuration for creating and customizing AI audit pipelines
- Human‑in‑the‑loop design that provides transparent, traceable reasoning for each compliance decision
- Seamless integration hooks for municipal software such as 311 request systems, permitting portals, and code‑enforcement tools
- Scalable AI copilots that understand multiple tiers of building and zoning regulations
- Real‑time audit reports that can be reviewed by plan‑review staff to accelerate decision‑making