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Real EstateAI implementation case study
Real Estate – National Student Housing Operator: Leasing & Turn Automation AI
AI for tour scheduling, guarantor workflows, roommate matching risk flags, and turn project orchestration.
This case study documents a real client implementation. Identifying details may be withheld where confidentiality applies.
Key takeaway
PrimeAxiom automated the full student housing cycle from prospect to move-in readiness with interconnected AI agents.
The engagement
From operational friction to a connected AI system
01 · Context
Business overview
Industry: student housing. Size: 40k beds. Complexity: academic seasonality.
02 · Challenge
Core problem
Manual bed tracking, guarantor chase, turn chaos.
03 · Approach
Solution
PrimeAxiom deployed a housing operations brain: AI scheduling for tours, document agents for guarantors, risk scoring on applications, and turn project agents linking maintenance to lease start dates.
04 · Impact
Results
Lease-up velocity +17%; guarantor completion time −44%; turn delays −31%; leasing labor per bed −28%.
System design
The full automation system
The implementation connects triggers, AI decisions, business rules, human approvals, and downstream actions in one controlled workflow.
Tour Agent, Guarantor Agent, Risk Agent, Turn Project Agent.
Workflow
How the automation runs
1. Lead enters funnel.
2. AI schedules tours.
3. App + guarantor docs tracked.
4. Risk flags to managers.
5. Signed lease triggers turn tasks.
6. WO sync.
7. Analytics tune pricing.
Intelligence layer
AI agents and decision logic
Scheduler Agent, Doc Agent, Risk Agent, Turn Agent.
Under the hood
Technical architecture
PMS integration, mobile-first comms, LLM for doc understanding.
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