What we automate
We build AI for property systems that integrate with the operational reality of Australian property and real estate businesses. Common workflows we automate end-to-end:
- Lead capture, qualification, and routing across portals
- Listing description drafting and CMA preparation
- Property management maintenance request triage
- Tenant communication and rent collection workflows
- Property inspection scheduling and report drafting
- Pipeline forecasting for sales agents
- Compliance with state residential tenancy regulations
Built for the realities of property and real estate
State-by-state tenancy regulations (RTA QLD, NSW Fair Trading, etc.) differ meaningfully.
Portal integration (REA, Domain) APIs are restricted; most data lives in CRMs.
Property management workflows touch sensitive personal information that requires care.
Sales agents adopt tools only if they save time on the things they hate doing.
Why work with us on AI for property
AI for property and real estate work that integrates with the Australian CRM and portal ecosystem (PropertyMe, Console, Box+Dice, Agentbox, Vault Re), built with respect for state-specific regulations.
Where most AI in property real estate goes wrong
Most property and real estate AI engagements in AU get scoped against a single workflow (listing generation, lead qualification, document processing) without integration to the CRM, trust account, and property management system that actually run the agency. The fragmented patterns: AI for listing copy that doesn't surface in the CRM workflow; lead-qualification AI without integration to the buyer-database matching; document-processing AI that doesn't respect trust-account audit requirements; property management AI deployed without integration to the maintenance and supplier coordination; AI workflows that produce content for the website but don't connect to the agency's compliance obligations. Real estate has heavy state-by-state regulatory variation and trust-account obligations that AI must respect.
Systems we integrate against
Property and real estate AI engagements typically integrate against PropertyMe, REST Professional (Rockend), Console, Onthehouse, MRI Software, AgentBox, VaultRE, RealHub, Domain Insight Premium, REA professional services, CRMs (Salesforce, HubSpot, AgentLoop), trust-accounting platforms (PropertyMe, REST), DocuSign for contracts, valuation platforms (CoreLogic RP Data), and the various marketing and listing-syndication platforms. AU agencies typically run several of these alongside email-driven communication with vendors and buyers.
If your stack isn't listed above, reach out anyway. The systems vary by industry but the integration patterns don't. We can usually work with whatever you're running. Tell us your stack.
Regulatory and compliance landscape
AU real estate operates under state-based Real Estate Acts (NSW Property and Stock Agents Act, Victorian Estate Agents Act, QLD Property Occupations Act, etc.) with detailed obligations on agency conduct, trust-account handling, advertising standards, and consumer protection. State Office of Fair Trading equivalents administer licensing. Trust-account audit obligations are strict. Anti-money laundering reach-through applies via real-estate-specific guidance. Privacy Act applies to vendor, buyer, and tenant data. Modern Slavery Act for managed-property supply chains. We design AI deployments with explicit attention to the trust-account audit trail and the state-by-state advertising obligations.
Operational outcomes we move
Defensible outcomes we have moved on property engagements: listing-prep cycle time compressed; lead-qualification accuracy improved through buyer-database matching; property management exception handling routed faster; tenant communication response time reduced; trust-account audit evidence overhead lowered; appraisal preparation time compressed through automated comparable analysis grounded in the agency's actual sales history. The metric is appointments-to-listing conversion, fall-through rate, and property-manager retention.
Common deployment patterns
Common deployment patterns for AU property and real estate: agent-assisted listing generation grounded in the agency's voice and past listings; lead-qualification and buyer-matching agents surfaced in the CRM; tenant and vendor communication agents under agent oversight; appraisal-prep agents that pull comparable sales from the agency's history; property management exception triage agents that route maintenance requests to the right supplier.
Related Bedstone services
Property and real estate businesses typically pair this work with listing, qualification, and lead-routing agents, custom buyer and tenant systems, and trust-account-ready financial systems. Or look at Bedstone OS for an AI workspace connecting your CRM, listings, and document store.
How we engage
Five-step delivery, scoped to fit. Audit, scope sprint, proof of concept, verification, rollout. Wrapped as a fixed-scope sprint, monthly retainer, fractional engagement, or one-off audit. See services for the full process and commercial structures.
Common questions about AI for property
What does AI for property typically deliver?
Three durable wins: lead qualification that reduces agent time on dead-end inquiries, listing description automation that saves hours per property, and tenant communication that reduces inbound calls. Each measurable against baseline.
Can you integrate with our CRM and portal feed?
Yes. We work with the major Australian property CRMs and portal feeds. Direct REA/Domain API access is limited; we work through CRM-side integrations.
Do you build for sales agents, property managers, or both?
Both. The workflows differ but the underlying engineering is consistent.
Is this eligible for R&D Tax Incentive?
Most novel integration and agentic AI work qualifies.
Across Australia
We work with property and real estate operators across the country. See city-specific context: AI agency Australia, Brisbane, Sydney, Melbourne, Perth.