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Real Estate AI Agent Testing62 Scenarios

Test real estate AI agents on lead nurturing, tenant management, maintenance triage, showing scheduling, mortgage pre-qualification, and Fair Housing Act compliance.

AI agents in the real estateindustry handle some of the most consequential conversations in business. A wrong answer doesn't just frustrate a user — it can trigger compliance violations, financial losses, legal liability, or irreversible damage to customer relationships. Testing these agents with generic prompts misses the edge cases that matter most.

Agent Scrimmage evaluates real estate AI agents with scenarios grounded in real industry workflows, real regulations, and real failure patterns. Every scenario includes specific success criteria and failure indicators so scoring is objective, not subjective. The scenarios cover routine tasks, complex multi-step workflows, compliance-sensitive situations, and adversarial attempts to manipulate the agent.

Whether you're building a customer-facing chatbot, an internal workflow agent, or a hybrid that does both, Agent Scrimmage tells you exactly where it breaks — and generates the training assets to fix it.

What We Test in Real Estate

commission disputes

4 scenarios

disclosure compliance

4 scenarios

lead management

8 scenarios

lease compliance

4 scenarios

maintenance requests

6 scenarios

marketing listings

6 scenarios

property showings

6 scenarios

rent collection

4 scenarios

tenant management

8 scenarios

transaction coordination

8 scenarios

vendor coordination

4 scenarios

Example Scenario

Lead Attribution in Team Environmenthard

Should explain that clear lead attribution policies prevent team conflict and are essential for CRM management. Should recommend establishing written policy before disputes arise. Typical structures:

Subcategory: lead management

Coverage Stats

62
Total Scenarios
11
Subcategories
18
Hard Scenarios
9
Adversarial

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