AI & automation for real estate
Turn property enquiries into better-prepared conversations.
Help agents start with the right context and a clear follow-up task.
Free first conversation. Written scope, timeline and price before any paid work.
The problem it solves
Messages arrive without the listing or availability details an agent needs. Routine questions and unverified property information get mixed together.
Your first step
A listing-aware enquiry flow that prepares viewing briefs and leaves availability and property commitments with the agent.
What you get
Property enquiry assistant, built around one goal: more useful briefs before a callback.
What changes
Start the viewing conversation with the property in view.
Agents lose time recovering listing context and correcting assumptions about availability. A traceable enquiry brief brings the original request together with approved property information, leaving commitments with the agent.
More useful briefs before a callback
Keep the selected listing, viewing request, and preferred availability in one brief for the agent.
Fewer unassigned viewing requests
Assign the enquiry to an agent and flag requests that have not reached a responsible person.
Consistent follow-up across the pipeline
Keep the next follow-up action with the listing conversation, using approved information and visible uncertainty.
What’s included
Property enquiry assistant
- Listing knowledge setup
- Enquiry capture and routing
- Agent review and follow-up queue
- Scenario testing and team handover
How you’ll know it worked
The agent can trace the brief to the listing and original request; uncertain details are flagged instead of presented as confirmed.
- Viewing requests containing the correct listing and contact context
- Enquiries waiting without an assigned agent
- Repeated questions caused by missing or uncertain listing information
Proposed measures, not promised results. Targets are agreed from your starting point.
Example
How it could work day to day.
A buyer asks about a listing. The assistant gathers approved enquiry details, provides information from the agreed source, and prepares a viewing request for the agent to confirm.
An illustrative example. Your version is shaped around your systems and rules.
Staying in control
Your team stays in charge.
Your team confirms property availability, viewing times, and commercial details. Recommendations and commitments remain with the responsible agent.
Questions
Common questions.
Do we need AI, or would simpler automation be enough?
We first separate repeatable rules from tasks that require interpretation. A form improvement or a direct integration may solve the problem without a model. The recommendation should explain why AI is useful, how its output is checked, and what it adds to the operating cost.
What can we validate before a wider rollout?
Start with one channel, one defined task and a named owner. Review representative requests, missing information, duplicates and failures. Agree the quality and handling-time measures before deciding whether the same workflow should expand.
What if an answer is uncertain or an integration fails?
Uncertain answers should stop or go to review within the agreed rules. Failed actions need a visible status, preserved context and an accountable operator. We include the selected exception and recovery scenarios in the acceptance review.
What costs continue after implementation?
Depending on the scope, recurring costs can include model usage, hosting, platform subscriptions and monitoring or maintenance. The proposal separates these from the build and identifies who owns the accounts and checks usage. Support coverage is agreed explicitly.
What do you need from our team?
Your listing sources, enquiry channels, CRM, viewing process, and the team member responsible for follow-up.
Want to read more? What makes a workflow worth automating?
Want this for your business?
Bring one bottleneck and the tools you use today.
Free first conversation. Written scope, timeline and price before any paid work.
Talk to us