Real implementations from client engagements. Each deployment is custom-built for specific workflows and industry requirements.

Shalom Property Management

An end-to-end AI-powered property management platform designed for independent landlords and small firms.

Vision

Enable property owners to manage properties across the U.S. with just one person, without compromising peace or service quality.

Strategy & Technology

AI Agent Architecture: We built a multi-agent system where specialized AI agents handle distinct domains—leasing, maintenance, accounting, compliance. These agents share context and coordinate actions across the platform, creating autonomous end-to-end workflows without human intervention.

Integration-First Technology: Rather than replacing existing tools, we developed intelligent connectors to platforms like Zillow, Stripe, QuickBooks, and Twilio. Our orchestration layer coordinates workflows across these systems, turning fragmented software into a unified automation platform.

Predictive Intelligence: Machine learning models analyze historical data to forecast maintenance costs, optimize rental pricing, and predict tenant behavior. The system continuously learns from operational patterns to identify cost reduction opportunities and prevent issues before they occur.

Progressive Deployment Strategy: We launched with high-impact workflows—tenant screening and lease automation—then progressively added maintenance coordination, financial automation, and predictive analytics. This phased approach delivered immediate value while building system confidence.

Key Features

🏢

One-Click Property Onboarding

Instantly set up and start managing

📋

Automated Inspections

AI-guided checklists and photo documentation

📅

Smart Scheduling & Leasing

Automated listing, showings and e-signatures

🔧

Maintenance & Vendor Dispatch

Auto-triage, fulfillment and real-time status

💰

Accounting & Financial

Rent tracking and tax-ready reporting

📊

Rental & Expense Prediction

AI forecasts to optimize cash flow

Results & Impact

METRIC BEFORE AFTER IMPACT
Owner Workload 20-25 hrs/month <6 hrs/month 75% time saved
Maintenance Response 48-72 hours 3-6 hours 85% faster
Inspection Turnaround 5-7 days Same-day 70% faster
Late Rent Incidents 14% of tenants 4% 10-pt improvement
Operating Margin 18% average 34% +16-pt gain
Tenant CSAT 72% 94% +22 points

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