The Company
Terr.ai empowers homeowners and property managers with the insights and tools to better control and maximize property value. Born from the owners of successful real estate business Hexa, the company addresses the market gap in accessible property management knowledge and tools.
The Challenge
In an industry where responding to tenant inquiries can consume up to 75% of a property manager's workday1, Terr.ai faced the same operational bottleneck, with managers overwhelmed by repetitive questions across phone, SMS, and email channels. The technical complexity lay in building a system that could understand context across multiple communication channels, extract data from lease documents, and provide accurate responses without hallucinating or requiring constant babysitting. Without solving this, property managers would remain overwhelmed, and tenant satisfaction would decline.
The Solution
A.Team matched Terr.ai with an AI Architect who brought extensive experience building production AI systems. The A.Teamer first validated assumptions through rapid prototyping before full development. They designed a comprehensive AI agent that understood context across communication channels while extracting insights from documents like lease agreements. This enabled proactive features like alerting managers about renewals before tenants inquired. The A.Teamer collaborated with stakeholders to ensure technology aligned with actual workflows rather than theoretical improvements. Using three-month iteration cycles per feature set, the team validated each capability with real users. Throughout the engagement, the A.Teamer transferred knowledge about current AI capabilities to the internal team, enabling better strategic decisions.
Lethub 1
Technologies Used:
Large Language Models (LLMs): Core reasoning engine for understanding tenant queries and generating contextually appropriate responses
Python: Building the backend infrastructure and API layer connecting all AI components
OCR and Visual LLMs: Processing lease documents and extracting structured data like expiry dates and payment termsSpeech/Audio Models: Enabling voice-based interactions for phone support automation
AI Agents: Orchestrating multi-function execution across different communication channels
"We helped tenants get the information they needed faster, while freeing up managers to focus on critical problems instead of repetitive requests."
— A.Team AI Architect
The Results
The AI-powered communication system transformed Terr.ai's property management operations from reactive to proactive, establishing a scalable foundation for growth.
Response Efficiency
Automated handling of ~600 tenant messages and emails per property manager per month
Manager Productivity
Reduced time spent on repetitive inquiries
Proactive Management
Implemented automatic lease expiry detection and renewal notifications
Scalable Foundation
AI agent architecture built to grow without proportional staffing costs
