An AI leasing agent is useful when it can move an enquiry toward a clear next step using approved property information. That might mean answering a question, arranging a tour or bringing in a person. A fast answer is only part of the job. The answer must be accurate, and any action it describes must actually have happened.
To evaluate one, bring a realistic enquiry to the demonstration. Ask the vendor to follow it through the conversation, the scheduling system and the record your leasing team will see. This reveals more than watching a prepared exchange about amenities.
Bring a six-part demonstration brief
- Property information: provide an approved fact sheet with opening hours, parking information and one deliberately unanswered question. Check whether the assistant recognises the gap.
- Customer intent: ask about a specific floor plan and move-in window. The assistant should answer the question before collecting unrelated details.
- Scheduling: request a time that is unavailable. Look for alternatives drawn from the agreed scheduling source, rather than invented availability.
- A changed request: change the preferred day halfway through. The final record should reflect the latest request without creating two bookings.
- A human request: ask to speak with the team. Check the live-transfer or callback route and the information the receiving person gets.
- An interrupted action: simulate a failed booking or unavailable integration. The assistant should describe the true status and leave an actionable follow-up.
Distinguish collecting preferences from deciding eligibility
A leasing conversation may need a preferred move-in date or apartment type to offer a useful next step. That does not mean the assistant should independently decide whether someone may rent. Define the information it needs for scheduling and keep application decisions in the approved process.
Ask how the system handles a person who declines a question, changes their answer or needs help from the team. A rigid sequence that refuses to proceed can create an unnecessary barrier. Review the questions with the people responsible for leasing policy before using them with prospects.
Follow the record beyond the reply
Illustrative test: Avery asks to visit Willow Court on Saturday. The assistant offers an available slot, Avery selects it, and the scheduling service times out. The correct result is a pending request with an assigned owner, not a message saying the tour is confirmed. Ask the vendor to show both what Avery receives and what the team sees.
Also inspect duplicates. A prospect may call after sending an email, or repeat a request because they have not seen a reply. The system needs an agreed way to associate those messages without accidentally combining different people's records.
Agree what success means
Write down the supported channels, actions, information sources and fallback routes. Mark each demonstrated behaviour as available in the proposed configuration, requiring implementation work, or unavailable. This makes the discussion comparable across vendors and avoids buying an assumption.
During a pilot, review completed actions and incorrect promises alongside useful response time. Tykuno connects conversations with follow-up, appointments and human handoffs; the actions and integrations in a particular rollout are agreed during implementation. Its public demo uses fictional scenarios and does not make real bookings.