Building SimpliRentIt: AI Meets Property Management
The Spark
I've spent my career building enterprise AI systems — GPU clusters, risk models, financial analytics at global scale. But I've always believed the same principles that power Wall Street infrastructure can transform everyday industries.
Property management is one of them. Landlords and small property managers are drowning in manual processes: tenant screening based on gut feeling, paper leases, maintenance requests via text message, rent collection through Venmo. It's 2026 and most landlords are running their business like it's 2005.
SimpliRentIt exists to fix that.
Enterprise Thinking, Consumer Product
The most interesting challenge wasn't the technology. It was translating enterprise AI patterns into something a landlord with three rental units could use without a training manual.
Tenant Screening
In enterprise risk assessment, you aggregate multiple data signals, apply models, and present findings with confidence scores and explanations. SimpliRentIt does exactly this for tenant screening:
- Pull credit, income, rental history, and public records
- Run an AI analysis that weighs all factors contextually
- Present a plain-language recommendation with supporting evidence
The landlord doesn't need to understand the model. They need to understand the recommendation. That's the UX lesson: complexity on the backend, clarity on the frontend.
Maintenance Triage
At Citi, we built systems that process thousands of events per second and route them to the right team with the right priority. SimpliRentIt applies the same pattern to maintenance:
- Tenant submits a request with photos
- AI categorizes the issue (plumbing, electrical, HVAC, structural)
- AI assesses urgency (emergency vs. routine)
- System routes to the appropriate vendor with full context
A burst pipe at 2 AM gets treated differently than a squeaky door handle. The AI handles the triage that landlords currently do manually — often poorly and always slowly.
Lease Intelligence
Financial services runs on contracts with complex terms, compliance requirements, and renewal cycles. Leases are simpler, but the same patterns apply:
- Auto-generate leases from templates customized per jurisdiction
- Track every term, deadline, and obligation
- Proactive renewal management — not "oh, the lease expired three weeks ago"
The Tech Stack
I built SimpliRentIt on the same foundation as SimpliInvest — a pattern I've refined:
- Next.js with React 19 for a fast, modern frontend
- Firebase (Firestore, Auth, App Hosting) for the backend
- Google Genkit for AI orchestration
- Tailwind CSS for rapid UI development
- TypeScript everywhere for safety
This stack lets me move fast without sacrificing quality. The same codebase patterns, the same deployment workflow, the same monitoring. When you build multiple products, having a consistent foundation is a force multiplier.
What I Learned
Domain Knowledge is Non-Negotiable
You can't build a good product in a domain you don't understand. I spent weeks talking to landlords, property managers, and tenants before writing a line of code. The features that matter most — automated screening, jurisdiction-aware leases, emergency maintenance routing — came from those conversations, not from my assumptions.
AI Should Be Invisible
The best AI features are the ones users don't think about. They don't care that there's a language model analyzing their maintenance request. They care that the plumber showed up the same day. Make the AI invisible and the outcome obvious.
Enterprise Patterns Scale Down
The architectural patterns I learned building enterprise systems at Citi — event-driven design, structured data pipelines, audit trails, graceful degradation — work beautifully in consumer products. You just apply them with a lighter touch.
Build What You'd Use
I'm a property owner. I built SimpliRentIt for myself first. When the builder is also the user, every design decision is pressure-tested against real needs. Build for yourself, then expand to others.
What's Next
SimpliRentIt is live and growing. The roadmap includes portfolio analytics (how are your properties performing?), automated rent collection with smart reminders, and a tenant portal that makes renting as smooth as the landlord experience.
The goal isn't to build the biggest property management platform. It's to build the smartest one.
Building AI products? Let's talk about going from enterprise experience to shipping your own thing.