AI built for property brokers: every enquiry handled, every deal tracked

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.”

Your Sales Agent handles every inbound enquiry (website chat, email, WhatsApp, contact form) in your firm’s voice, extracting key information and qualifying urgency, budget, and sector interest. The CRM auto-matches each enquiry 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 builds a researched, personalised approach for each one, so every conversation your brokers start is warm.

Most firms generate leads from referrals, but lack the consistency to prospect month after month. Your Leads Agent identifies the right contacts using CoStar and Knight Frank data, referencing specific facts (recent transactions, portfolio holdings) so every intro feels personal. Ecosystem tier delivers a steady flow of 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. Your Sales Agent responds in seconds, 24/7. It extracts investment criteria, preferred sectors, timeline, and budget from opening questions. For specific listings, it pulls details, comparables, and viewing next steps. For exploratory enquiries, it 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.

Your Sales Agent is trained on your listings, sectors, commission structure, and broker voice. When an investor emails about office space in London, it pulls current listings, matches them to stated requirements, highlights the best fit, and suggests viewing times. If a requirement is unusual (size, budget, location), it escalates with full context so your broker knows exactly what they are dealing with. For landlords, it drafts a soft opener referencing specific portfolio overlap, and when they reply it books time to discuss representation. For sector-focused investors, it 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 a steady flow of researched 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 volume. Your Leads Agent 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, it builds a unique, researched opener for each one referencing something specific about their portfolio, ready for your team to approve, then tracks every reply and follow-up in the CRM 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 your AI system to understand your specific market, your portfolio, and your ideal client profile, then running it 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. Your Sales Agent references recent transactions and portfolio details pulled from CoStar and Knight Frank data. A drafted opener reads “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.

Your Sales Agent 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. Foundation starts at $2,000 per month for response, qualification and a rebuilt website. Ecosystem is $5,000 per month when you want continuous landlord and acquirer prospecting. Workforce is $10,000 per month for firms wanting bespoke agents and daily content across every channel. After the first call your dashboard shows the full audit and plan for your portfolio, and you own everything we build.