Normalized claim
Cost: 25% decrease
Reduced operational costs by 25% enabling reinvestment in AI innovation.
Leaseo streamlines property management with Google Cloud AI and Gemini
Use case typeProperty analyticsUpdated Jun 13, 2026
Leaseo replaced fragmented legacy property management systems with a single cloud-based AI platform to automate leasing, maintenance, inspections, and resident engagement workflows. Using Google Cloud AI services including Gemini models in Vertex AI, Leaseo deployed AI chatbots, call summarization, translation, video generation, and image analysis to enhance operational ease and customer experience. Google Kubernetes Engine and BigQuery underpin scalable, elastic infrastructure supporting AI-powered predictive and generative applications. Spaceman Consulting helped Leaseo migrate from AWS to Google Cloud, achieving 25% cost savings reinvested into AI-first strategy.
- Organization
- Leaseo
- Industry
- Real Estate
- Location
- United States
Reported outcomes
100x
costCost savings
−25%cost
Strategic outcomes
New product / capabilityDeployed AI-powered property management platformCustomer experience & trustEnabled natural conversational tenant supportScale & capacityBuilt scalable cloud infrastructureCustomer experience & trustEnhanced customer satisfaction
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Cost: 100 x decrease
Reduced translation costs by 100x via Gemini text-to-speech AI.
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Leaseo
- Provider
- GCP
- Maturity
- Production
- Linked source
- Google Cloud Customer Stories
Using Google Cloud AI services including Gemini models in Vertex AI, Leaseo deployed AI chatbots, call summarization, translation, video generation, and image analysis to enhance operational ease and customer experience
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 3
- 1Conversational AI
- 2Process Automation
- 3Predictive Analytics
- Manual and fragmented property management processes caused inefficiency and scalability issues.
- Tenant and landlord queries required faster, natural conversational AI response.
- High API call volume limits hindered integration with partners.
- Migrated property management platform to Google Cloud, leveraging BigQuery, Cloud Storage, Cloud Spanner, and Google Kubernetes Engine for scalable data processing and hosting.
- Implemented AI Assist chatbot with Vertex AI and Gemini 2.5 Flash for fast, natural conversational experience with 100ms latency.
- Used Gemini Live API and Gemini 3 Pro for advanced natural language processing, image data enrichment, translation, video generation, and conversational analytics.
- Secured environment with Google Cloud Armor for sensitive data protection.
- Reduced operational costs by 25% enabling reinvestment in AI innovation.
- Improved chatbot latency from 300-800ms to 100ms for more natural user interactions.
- Reduced translation costs by 100x via Gemini text-to-speech AI.
- Future-proofed platform scalability and enhanced overall customer satisfaction.
Architecture
Leaseo uses a Google Cloud architecture integrating BigQuery, Cloud Storage, Cloud Spanner, Google Kubernetes Engine, Vertex AI with Gemini models, and Google Customer Engagement Suite. Spaceman Consulting supported migration from AWS and design for scalability and AI integration.
Implementation partners1
Sources & evidence1
Evidence: Medium65/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublisher: Google Cloud Customer StoriesEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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