Trusted by brands worldwide
Abby qualifies investor enquiries, tenant interest, and acquisition leads 24/7. Outbound to landlords, sellers, and acquirers runs continuously.
Trusted by brands worldwide
Hot enquiries on prime listings die overnight. The investor who emails at 11pm gets a reply at 9am from your office and a reply at 11:03pm from a competitor. They book with the competitor.
Your CRM is a swamp of dead leads. Investor preferences, sector interest, deal size, urgency: noted in a spreadsheet nobody updates. By the time the right listing comes through, you've forgotten which investor wanted it.
Brokers spend 80% of their day on admin and qualification, not selling. Chasing follow-ups, managing calendars, logging notes, updating the pipeline. By 5pm, there's no energy left for relationship-building and negotiation.
Every enquiry gets a personalised response in your firm's voice within 5 seconds, with the right listing details, comparables, and a booked viewing or call.
The CRM scores every investor, tenant, and seller against active and pipeline listings. New listings auto-match to ranked contacts so you call the right person first.
Outbound to landlords, sellers, and acquirers runs continuously with personalised intros referencing portfolio holdings and recent transactions.
The commercial property market rewards speed. A broker responding at 9am when a competitor responds at 9:03pm loses the lead. According to Chris Rowan, founder of The Agency, “brokers who use AI well spend more time with serious investors and less time on admin. Brokers who don’t use AI compete on response time and lose.”
Abby handles every inbound enquiry (email, WhatsApp, phone, contact form) in your firm’s voice, extracting key information and qualifying urgency, budget, and sector interest. The CRM auto-matches each inquiry to your active and pipeline listings so your team calls the right prospect. For outbound, the system identifies landlords with portfolio holdings matching your mandates and runs personalised email sequences over 60 days, delivering consistently higher reply rates than generic outreach.
Most firms generate leads from referrals, but lack the consistency to prospect at scale. Abby identifies the right contacts using CoStar and Knight Frank data, referencing specific facts (recent transactions, portfolio holdings) so each email feels personalised. The system runs a 5-7 touch cadence over 60 days. Outbound tier delivers 300-500 ICP-matched prospects monthly to your CRM, pre-qualified with investment timeline and sector focus.
Leads contacted quickly are substantially more likely to engage. Most brokers respond in 24 hours. By then, the prospect has spoken to competitors. Abby responds in seconds, 24/7. She extracts investment criteria, preferred sectors, timeline, and budget from opening questions. For specific listings, she pulls details, comparables, and viewing next steps. For exploratory inquiries, she qualifies intent and books a call with the right broker. Clients report more viewings booked because prospects reach brokers warm, pre-qualified, and interested. Brokers spend time on showing and closing, not information gathering.
Traditional CRMs are spreadsheets with notes like “wants industrial”, “budget 5m+”. When a new listing comes through, brokers call whoever they remember. Qualified leads fall through cracks. Preferences age. The Agency’s CRM scores every contact against active listings on four dimensions: sector, geography, budget, and investment stage. New listings auto-notify the top matches. Contact preferences and email replies update scores in real-time. The system tracks 9 property-specific automations: viewing reminders (24hr, 2hr, 15min), same-day no-show recovery, 60-day re-engagement sequences, and tenant onboarding. All without broker intervention.
Abby is trained on your listings, sectors, commission structure, and broker voice. When an investor emails about office space in London, Abby pulls current listings, matches them to stated requirements, highlights the best fit, and suggests viewing times. If a requirement is unusual (size, budget, location), Abby escalates with full context so your broker knows exactly what they are dealing with. For landlords, Abby softly opens outreach referencing specific portfolio overlap and books time to discuss representation. For sector-focused investors, Abby maintains ongoing conversations, sending market updates and flagging opportunities aligned with their stated interests.
Speed and consistency. A firm without AI handles inbound enquiries manually. A firm with AI handles inbound plus 300-500 outbound prospects monthly, simultaneously. Every inbound gets a rapid response. Every outbound prospect gets consistent, tailored follow-ups over time. In competitive markets (London, New York, Singapore), this advantage is decisive. The firm that responds fastest and remembers specific interests gets the mandate.
Spreadsheets fail beyond 500 contacts. Generic CRMs like Salesforce require heavy configuration and don’t understand portfolio composition or investment matching. The Agency’s CRM is built for commercial real estate. It understands portfolio composition, sector focus, geography, and capital availability. When you list a new 100K sqft industrial building, the system automatically identifies institutional investors with industrial focus and sufficient capital, scores them by geography and recent activity, and contacts the top prospects first.
Generic outbound email to cold prospects generates low response rates. Personalised outbound that references the prospect’s specific portfolio or recent activity generates significantly higher response rates on commercial real estate brokers. A generic email says “I’m a broker in London, we specialise in industrial. If you’re interested in new opportunities, let’s talk.” A personalised email says “I noticed you recently completed a 50K sqft industrial acquisition in Manchester last month. We’ve just come to market with a similar-spec 45K sqft unit 2 miles away, currently leasing at $10/sqft. Your tenant profile matches our incoming enquiries perfectly. 15-minute call this week?” The second converts dramatically better because it proves specific knowledge and immediate relevance.
The Agency’s outbound engine works this way at scale. Abby scans your portfolio composition (size, sector, location, lease stage, tenant quality) and matches it against target prospect data. When you provide 500 landlords in industrial property, she builds a unique opener for each one referencing something specific about their portfolio. The system sends 50-100 emails per day (not all at once, to avoid spam filters), tracks replies, and runs follow-ups on non-responders automatically.
The practical answer to “can AI help my property firm” is yes, but only if you implement it correctly. Wrong implementation looks like sending generic emails and hoping for volume. Right implementation means building Abby to understand your specific market, your portfolio, and your ideal client profile, then running her consistently across inbound and outbound.
For firms in highly competitive markets (London, New York, Singapore), AI is no longer optional. Competitors have already deployed it. For firms in mid-market or secondary markets, AI is an advantage that accelerates growth. For startup brokers with no track record, AI levels the playing field, making them competitive with established firms on responsiveness and consistency.
Industrial and logistics remain the strongest-performing sectors globally. For brokers, deal flow exists but is unevenly distributed. Firms with strong outbound capability win disproportionate share because they prospect continuously instead of waiting for inbound. Brokers with AI win even more because speed and consistency are now decisive.
Specific knowledge builds trust. Abby references recent transactions and portfolio details pulled from CoStar and Knight Frank data. An outbound opens “I noticed your portfolio expanded into South London retail. We have an incoming tenant enquiry for 2.5K sqft ground floor matching your lease terms.” This proves homework and turns cold outreach into warm qualification.
Abby and the CRM layer on top of your existing platforms (ARGUS, Reapit, Apto). Your deal-management system and data sources stay unchanged. What changes is the front-end: faster inbound responses, better qualification, and automated outbound prospecting.
Book a call and we walk through your sector mix, pipeline, and the three biggest leaks in your enquiry flow. You see a live demo built on a sample property firm. Month one is build and training, then you go live.
Pricing is simple and fits how property firms grow. Inbound starts at $2,000 per month for response, qualification and a rebuilt website. Outbound is $5,000 per month when you want continuous landlord and acquirer prospecting. Full Stack is $10,000 per month for firms running calling agents and content across every channel. You see the system working on your own portfolio before you pay, and you own everything we build.
€40K to €90K monthly revenue, doubled in 6 months
6-year client
Outbound to landlords with portfolio holdings matching your mandates. Abby identifies contacts via CoStar and Knight Frank data, references their specific portfolio, and asks about renewal dates. Reply rates improve significantly over generic outreach on our property clients.
Three layers work together: inbound responding (fast replies on every channel), CRM matching (rank contacts against new listings), and outbound prospecting (personalised emails to portfolio landlords). Clients report more mandates per quarter when using all three.
AI speeds inbound response (hours to seconds) and follow-up consistency (automatic daily nudges). Brokers spend less time on admin and more time closing. Due diligence, negotiation, and valuation still take human time and judgement.
Abby scores every inquiry against your active and pipeline listings, extracting budget, sector interest, deal timeline, and motivation from each conversation. The CRM ranks contacts so you call the best prospects first.
Each lead enters the CRM with automatic follow-up cadence: day 1, 3, 7, 14, 30, 60, 90. Abby adjusts messaging based on reply and updates lead score. Warm leads auto-notify your team for immediate follow-up.
Inbound tier is $2,000/mo. Outbound is $5,000/mo and includes AI lead generation plus inbound. Full Stack is $10,000/mo with content and calling agents. For a 10-broker firm doing $3M in fees, Outbound is roughly 2% of annual revenue.
Independent sources cited in this analysis. Verifiable and updated.
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