Solutions · Real estate brokerages
Lead bots, listing copy, CRM agents and recruiting all carry different obligations
A brokerage’s marketing assistant and its agent-recruiting screener are not the same risk. Record each system, understand which Canadian and US rules may apply, and show clients and regulators how AI is used responsibly.
Typical AI uses
- AI lead qualification and follow-up
- Listing descriptions and marketing content
- Customer chat on brokerage sites
- CRM automation agents
- Recruitment of agents and staff
Where obligations differ
Illustrative, not legal advice. The assessment screens your actual profile against the verified dataset.
Listing copy and marketing with human review
lowAvoid misleading representations; label synthetic imagery; check your real-estate regulator’s advertising rules.
Lead bots handling client personal information
elevatedPIPEDA and provincial privacy laws; disclosure that the client is talking to AI.
AI used to screen agent or staff candidates
highOntario ESA s. 8.4 posting disclosure (25+ employees), Quebec Law 25 automated-decision notice, EU Annex III if EU applicants.
Starter inventory
A template you can customize in the workspace or import from CSV.
| System | Purpose | Data | Oversight |
|---|---|---|---|
| Lead qualification bot | Qualify and route web leads | Prospect contact and intent | Agent follow-up |
| Listing copy assistant | Draft descriptions | Public listing data | Agent review |
| CRM follow-up agent | Send drip messages, update records | Client CRM | Approval for new contacts |
| Recruiting screener | Rank applicants | Candidate info | Recruiter reviews shortlist |
First four steps
- Assess the brokerage (free)
- Register bots, agents and recruiting tools
- Add AI disclosure to chat and voice intake
- Review the recruiting tool with the vendor questionnaire
Guides
- AI Governance for Real Estate Brokerages
How brokerages should govern AI for lead qualification, listing copy, chat, CRM agents and agent recruitment, with Canadian and US legal touchpoints and a starter inventory.
- AI Compliance for HR Teams: Recruitment, Screening and Employee Monitoring
What HR teams in Canada, the US and the EU must do when AI touches hiring, screening or monitoring: the rules, the dates, and the practical controls that produce evidence.
- How to Review an AI Customer Service Bot
A practical review checklist for AI customer service bots: disclosure rules, human escalation, transcript data, retention, hallucination and abuse testing, logging, accessibility and metrics.