Example report. A made-up agency, to show the shape of what you'd receive. Notice it's a living web page, not a PDF — that's the actual format, and a small taste of how I build.
AI Opportunity Report
Cedar & Vale, an independent estate agency
A twelve-person sales and lettings agency in a market town. Hard-working team, busy phones, and a nagging sense that “we should be using AI for some of this” — without knowing where to start or what's real. Here's where I'd start, and just as importantly, where I wouldn't.
How I looked at it
One ninety-minute conversation walking through a normal week — the jobs that eat time, the moments work slips, and the data already sitting in the CRM, the inbox and the shared drive. Then I sorted every idea by one simple test: how much would it genuinely help, and how much work is it to build? The winners are real, daily jobs with a quick payback — not the most futuristic ideas.
The opportunities, in priority order
Four places AI earns its keep here.
Listing drafts from an agent's notes
- The problem
- Senior negotiators write property descriptions in the evenings and at weekends — it's slow, it's nobody's favourite job, and the tone drifts depending on who wrote it. Across the team that's roughly 6–8 hours of senior time a week going on copywriting.
- How AI helps
- A focused agent that turns rough bullet notes and the key facts into a polished, on-brand listing in a few seconds — ready for a quick human tweak rather than a blank page. It learns the agency's voice from existing listings, so everything reads consistently.
- The recommended first build
- A simple internal tool: paste the notes and the key details, get a clean draft back. No new system to learn, no change to how viewings work. Roughly 2–3 weeks to a version the team uses daily.
First response to portal enquiries
- The problem
- Leads from Rightmove and Zoopla land at all hours, including evenings and weekends. The first agency to reply usually wins the viewing — and right now enquiries that arrive after hours sit untouched until the morning.
- How AI helps
- An agent that reads each enquiry, replies within minutes with the right property details and a link to book a viewing, and flags genuinely hot leads to a person. It never replaces the negotiator — it makes sure nobody waits twelve hours for a first reply.
- The recommended first build
- Built after the listing tool, once the team trusts the agent's tone. Starts in a 'draft for approval' mode — a human approves each reply — then moves to auto-send for routine enquiries as confidence grows.
A tenant & landlord question agent
- The problem
- The property management team answers the same questions every day: deposit timelines, who fixes what, renewal dates, how to report a problem. It's constant, low-value interruption.
- How AI helps
- An assistant grounded in the agency's own policies and tenancy documents — on the website for tenants and internally for staff. It answers the routine 80% instantly and hands anything unusual straight to a person, so it never guesses on something that matters.
- The recommended first build
- Point it at the existing tenant handbook and FAQs first, prove it on the common questions, then widen its knowledge. Low risk because it only ever answers from documents the agency has approved.
Maintenance intake → contractor dispatch
- The problem
- Repair requests come in by phone, email and text, get logged inconsistently, and occasionally slip through the cracks — which is where complaints come from.
- How AI helps
- A workflow that captures every request in one place, triages how urgent it is, drafts a clear brief for the right contractor, and tracks the job to completion — so nothing is forgotten and the landlord can see progress.
- The recommended first build
- A later phase, once the quicker wins are banked. Worth scoping carefully against the existing process before building, so it fits how the team already works.
Not worth it yet
Knowing what to skip matters just as much.
AI-generated property valuations
The accuracy bar and the regulatory and reputational risk are too high for an agent to own. Keep a person firmly in the loop here — AI can gather comparables, but the valuation stays human.
Replacing the CRM
The current system works and the team knows it. The value is in connecting AI to it, not ripping it out — a rebuild would be expensive disruption for little gain.
An AI voice answering the main phone line
Too much brand risk this early. Prove the text-based agents first; revisit voice once there's trust in how the agents handle a real conversation.
If you do one thing
Build the listing tool first.
It's the lowest-risk win with the fastest payback: a real job the whole team does every week, visible time saved inside the first few days, and nothing else in the business has to change. It also builds trust for the bigger pieces — once the team sees an agent nail the agency's voice, the enquiry responder is a much easier yes. Roughly two to three weeks. After that, we look again with real experience behind us.
Want one of these for your business?
This is what an AI Opportunity Audit gives you — a clear, honest plan built around how you actually work. Start with a free call and we'll see if it's the right fit.