Property · Bristol
An independent lettings agency
A busy agency where viewing requests piled up while negotiators were out showing. We built the branch and the AI workforce, and the pipeline stopped stalling.
The results, at a glance
- From enquiry to booked viewing
- < 1 min
- More viewings booked
- 42%
- Negotiator time saved weekly
- 9 hrs
- Faster average time to let
- 19 days
An illustrative, anonymised scenario, not a verified client result.

- From enquiry to booked viewing
- < 1 min
- More viewings booked
- 42%
- Negotiator time saved weekly
- 9 hrs
- Faster average time to let
- 19 days
Illustrative scenario, not a guarantee. These figures show the kind of return a property branch is built to produce over its first two quarters, drawn from the patterns we design for. Your own numbers will depend on how much work is currently going cold; the ROI calculator sizes them in two minutes.
The challenge
The approach
- 01The situation
Work arriving when no one was there to answer it.
- 02The build
The branch and the AI workforce, wired in to answer first.
- 03The result
The enquiry caught, qualified, and turned into booked work.
Rebuilt the site so listings, area guides, and the application process were clear enough to qualify a tenant before any human spoke to them.
Put an AI workforce on every enquiry, booking viewings into negotiators' live diaries the moment a tenant asked.
Qualified budget, move date, and chain up front, so negotiators spent their time on tenants who could actually proceed.
Set automatic follow-up on every lead, so an unanswered enquiry on a Friday was still a live one on Monday.
The agency was good at letting properties once a tenant was in front of a negotiator. The bottleneck was getting them there. With the team out showing all day, enquiries queued, and a queue is where a hot lead goes cold.
The cost of the queue
A tenant enquiring about a property is usually enquiring about three or four. The agency that books the viewing first wins the attention. Replying hours later, after the negotiator was back at a desk, meant arriving second to a tenant who had already lined up a viewing elsewhere.
The maths was unforgiving. The most in-demand properties drew the most enquiries, which meant the listings with the highest potential were also the ones where the most interest went unanswered. The agency was busiest exactly where it was leaking hardest.
What we built
An AI workforce that answered the enquiry the moment it arrived and booked the viewing into the right negotiator's diary, while they were still at a property across town. It qualified as it went, so the diary filled with tenants who could actually proceed.
- Viewings booked into live diaries in under a minute.
- Budget, move date, and chain confirmed before a viewing was held.
- Follow-up on every enquiry, so nothing slipped over a weekend.
- Negotiators briefed on each tenant before they arrived.
Qualification as a filter, not a barrier
Speed alone fills a diary with the wrong people. The workforce confirmed budget, move date, and chain position in the same exchange that booked the viewing, so negotiators stopped spending Saturdays showing flats to tenants who could not proceed. Fewer viewings, better viewings, more lets. The team's time went to the tenants most likely to sign, because the branch had already worked out who they were.
What an agency like this can expect
On the patterns we design for, an agency of this profile could expect to book around 42% more viewings, to take roughly nineteen days off the average time to let, and to hand each negotiator about nine hours a week back. The pipeline stops stalling on the inbox, because the inbox is no longer where enquiries wait.
Nineteen days off the average time to let would be no vanity metric. For a portfolio of managed properties it is rent collected sooner, landlords kept happy, and stock that moves before a competitor can intervene.
Is your pipeline stalling on the inbox?
If your negotiators are out showing while enquiries pile up unanswered, you are arriving second to the tenants who matter most. A thirty-minute call maps what an Autonomous Digital Branch would book and what it would return for your agency. No pressure.
This branch was live in about twelve weeks. Want the same maths for a property business like yours? Run your own figures through the ROI calculator.
This scenario is anonymised by design: the businesses we build for compete for the same enquiries we help them win. As our founding cohort goes live across the UK, US, Canada, and Australia, we will publish named reference clients with figures they have signed off.
All case studiesSee what your branch would return.
These are illustrative figures for the scenario described, not a promise of identical results for yours. Book a thirty-minute call and we will map your own, live, or size them in the calculator first.
No pitch deck. You leave with a plan and a number to point at.
Book a strategy call
Thirty minutes to scope yours.
We map your branch, the workforce it needs, and the return it should make, then tell you exactly what we would build and what it costs. No pitch deck.