WiseUnit
WiseUnit provides AI voice agents that handle incoming calls, capture structured caller details, and route conversations to the right next step, integrating with existing phone, calendar, CRM, and communication workflows. The platform offers an AI Receptionist for first contact and routing, an AI Customer Support agent for resolving recurring questions, and an AI Maintenance Coordinator for property management teams. It supports multiple languages and works with existing PMS systems like AppFolio, Buildium, and Yardi without custom API work.
- AI Agents
- Artificial Intelligence
- Property Technology
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Property management and service businesses face growing coordination workloads as portfolios expand, with maintenance coordinators spending their days on repetitive tasks like calling vendors, following up on quotes, scheduling repairs, and updating systems. These operational bottlenecks delay resolutions, increase costs, and prevent teams from focusing on higher-value judgment work, while incoming calls and maintenance requests require dozens of decisions before any action can be taken.
Solution
WiseUnit provides AI voice agents that answer incoming calls, capture structured caller details, and route each conversation to the right next step, connecting directly with existing phone, calendar, CRM, and communication workflows. The platform offers two distinct products: an AI Receptionist focused on first contact, caller qualification, and routing, and an AI Customer Support agent that resolves recurring support questions using reviewable business-specific knowledge controlled by the team. Both products are designed to keep human handoff available with context attached, so teams understand the caller's intent, the issue, and the steps already taken. WiseUnit also applies maintenance decision intelligence to property management workflows, helping teams determine whether a request requires maintenance, assess urgency, identify the correct trade, and check for sufficient information before dispatching vendors. Its AI Maintenance Coordinator handles resident intake, issue diagnosis, vendor coordination, scheduling, and PMS documentation while escalating high-cost repairs and approvals to human judgment.
Target Audience
Primary customers are property management companies and maintenance teams that need to scale coordination across growing portfolios, as well as service businesses seeking AI-powered call handling and customer support automation.
Features
- AI Receptionist that answers incoming calls, captures structured caller details, and routes conversations to appropriate next steps, with unlimited receptionists per plan and support for English, German, Italian, French, Spanish, Polish, and Turkish
- AI Customer Support that learns from existing team calls, extracts recurring resolutions, and requires team approval before handling issues, with states for observing, in review, testing, and ready
- AI Maintenance Coordinator that coordinates resident intake, issue diagnosis and urgency detection, vendor outreach, scheduling, and PMS-ready documentation through existing workflows
- Integration with existing phone, calendar, CRM, and communication workflows, including Google Calendar, Calendly, Cal.com, and PMS systems like AppFolio, Buildium, and Yardi without custom API work
- Maintenance decision intelligence that evaluates whether a request requires maintenance, assesses urgency, identifies the correct trade, checks for sufficient information, reviews warranty coverage, and considers repeat-issue history before dispatch
- Human escalation with context attached, ensuring teams understand caller intent, issue details, and steps already attempted, with high-cost repairs and approvals flagged for manager review
- Vendor coordination that sends follow-ups, escalates based on urgency, and works with existing vendor networks rather than forcing a marketplace
- Call summaries, analytics, and knowledge gap reporting that show how calls end and what the receptionist could not answer