AI-assisted permit review
A two-sided permitting experience that helps applicants catch issues early and gives reviewers a clear, auditable queue.
Permit review is slowed by incomplete applications, fragmented requirements, and limited visibility across review cycles. Automation only helps when applicants and staff can understand, verify, and challenge its output.
The prototype pairs applicant pre-checks with a disciplined staff workspace. Recommendations remain reviewable, code references stay visible, and synthetic demonstration records keep the public case study safe.
- Applicant eligibility and completeness checks
- Retrieval-backed code analysis
- Multi-discipline review queues
- Human approval and audit evidence
See how the system thinks.
Separate applicant and reviewer paths within one clear, accountable service.
Structured project details create a more useful, explainable review before submission.
Status, disciplines, cycles, and AI readiness remain visible without displacing human review.
The public problems behind the work.
- City of Miami Beach AI permit and plan review
These are independent Runner Concepts prototypes and capability studies informed by public materials. They are not commissioned client work and do not imply an award, affiliation, approval, or endorsement. Screens use synthetic, fictional, or demonstration data.