AI Viewing Booking Agent
Viewing coordination was consuming the equivalent of half a working day per adviser in peak periods. entirely through manual, interruptive tasks that a structured AI agent could handle.
- Timeline
- Four week build with a two week parallel run period (agent and adviser coordinating simultaneously) before the agent was given primary responsibility for the booking function.
- Scope
- Process mapping of existing viewing coordination workflow, AI agent design and script development, escalation protocol definition, CRM integration, and performance monitoring setup.
- Model
- The parallel run period was deliberately included to surface edge cases before the agent operated independently. Every escalation during that period was reviewed and used to improve the decision boundary, we shipped the agent as a collaborator first, not as a replacement, and the handover happened when the team felt confident rather than on a fixed calendar date.
The outcome
AI calling agent deployed for outbound viewing bookings. coordinating availability, confirming slots, and logging outcomes. freeing adviser time.
Findings
What we built it around.
AI calling agent with defined outbound scripts covering initial booking, voicemail handling, callback acknowledgement, and rescheduling flows
Client preference intake layer
structured criteria capture (preferred days, travel constraints, co viewer requirements) feeding the agent's scheduling logic
Escalation protocol
defined conditions under which the agent pauses and routes to an adviser, with context handoff so the adviser doesn't start from scratch
Call recording and transcription pipeline
full audit trail of all agent interactions with agents and property managers, stored against the relevant CRM case
CRM integration
automatic pipeline stage update on confirmed booking, with viewing details and agent contact logged without manual entry
Results
What changed.
Viewing coordination time for advisers reduced from 4, 5 hours per day at peak to under 45 minutes of exception handling, a reduction of approximately 85% in active adviser involvement in the booking process
Callback and voicemail handling fully automated: the agent manages multi attempt outreach sequences without adviser intervention, resolving the primary source of coordination delay
Viewing confirmation rate improved: structured follow up sequences reduced the incidence of unconfirmed viewings showing up in the diary, a problem that had previously resulted in wasted travel and client dissatisfaction
Institutional knowledge captured: agent contact preferences, response patterns, and rescheduling history are now logged systematically, eliminating the informal knowledge loss that occurred when staff changed roles
CRM pipeline accuracy improved as a byproduct: viewing stage updates are now recorded in real time rather than entered retrospectively, making pipeline reporting more reliable
Takeaway
AI calling agent deployed for outbound viewing bookings. coordinating availability, confirming slots, and logging outcomes. freeing adviser time.
Real estate / PropTech
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We do not send a proposal before we understand the problem. Start by telling us about your decision context. We will identify the highest leverage intervention areas before any scope is agreed.