[D] I’m building an AI system that simulates and “repairs” city policies before they’re implemented. Looking for planner + founder feedback

I’m working on a project called Oracle of Urbanism, an AI-powered “policy intelligence layer” for cities.

The idea is simple in concept, hard in execution:

A planner uploads a map or satellite image, draws a change (bike lane, park, road closure, transit line), adds real data (air quality, traffic, census, zoning), and sets a goal like:

“Reduce pollution without increasing commute times for low-income districts.”

Behind the scenes, a council of AI agents (transport, environment, economy, equity) debates the policy, simulates outcomes, and if it fails constraints, the system proposes the smallest possible change that would make it work.

Think: SimCity + consulting + AI agents + digital twin.

I’m not just trying to build a cool demo; I want to understand if this could become a real product.

I’d love feedback on:

• Would this be useful for actual planners, NGOs, or developers?
• What would make this credible vs. “AI theater”?
• Who would realistically pay for something like this?
• What would stop an organization from adopting it?

Open to both technical and business reality checks. Appreciate any honest input.