Make more time for people and properties by significantly reducing routine work across your inbox, CRM and document storage.
Prospective clients wait while enquiries sit in several inboxes.
Teams have to update the same property information in both particulars and the CRM.
Management teams manually sort recurring tenant reports.
AI prepares and structures information and supports your team as they work. Your people always retain responsibility and make critical decisions.
The workflow uses enquiry form and CRM.
Check completeness and the nature of the enquiry against transparent criteria.
You receive a callback list that explains the priority assigned to each enquiry.
The workflow uses portal messages and email.
Identify the property and enquiry type, and spot missing information.
You receive an organised queue of enquiries and draft responses for approval.
The workflow uses verified property data and approved images.
Prepare copy from confirmed facts and document the sources.
You receive a draft for expert approval, with no invented floor areas or features.
The workflow uses calendars, property status and prospective clients’ preferences.
Match available time slots and prepare suggestions.
Appointments are confirmed only once the required approval has been given.
The workflow uses approved property files and PDFs.
Categorise documents and make information discoverable with sources.
You receive a structured overview; this does not include a legal review or independent valuations by AI.
The workflow uses tenant inbox, maintenance reports and CRM.
Route enquiries and suggest status changes.
You receive traceable tickets and verified CRM updates.
Enquiries, property data and tenant reports arrive in many places at once. AI brings them together, checks their status and prepares callback lists, draft particulars and responses, leaving your staff to review and approve.
I check portal exports, CRM/property management systems, calendar permissions and data protection for personal information. Property facts need reliable sources. Selection decisions remain transparent and human-led.
Learn more about implementation and securityAll assumptions in these examples are for guidance only.
This example considers an estate agency with a sales team.
240 tasks / month × 12 minutes · 60 % automation · 65 % realisation · 55 € fully loaded internal hourly rate
Limitations: AI does not make tenancy decisions. Enquiries are prioritised solely against clear, explainable criteria. Time freed up does not automatically translate into payroll savings. Integration effort and error rates are not included in this simplified calculation.
Calculate using your own figuresThis example considers a property management company.
350 tasks / month × 8 minutes · 55 % automation · 60 % realisation · 45 € fully loaded internal hourly rate
Limitations: Hazard reports need a defined escalation route; AI does not replace an emergency service. Time freed up does not automatically translate into payroll savings. Integration effort and error rates are not included in this simplified calculation.
Calculate using your own figuresI get to know your process, assess your data and integrations, and prioritise what will make a real difference.
I implement a clearly defined workflow, put approvals and data privacy and security requirements in place, and test everything with your team.
I assess quality and value, strengthen team adoption, and scale only what proves effective in day-to-day work.
Since 2 February 2025, Article 4 of the EU AI Act requires businesses using AI systems such as ChatGPT or Microsoft Copilot to ensure their employees have sufficient AI literacy. Practical, documented AI training is central to this, including for teams with no prior knowledge.
AI automation is most useful for recurring information tasks with sufficient volume, clear rules and accessible data. An opportunity check assesses benefits, risks and integration effort before you invest.
Not necessarily. Existing tools can often be usefully extended. Whether a workflow, knowledge assistant or agent is appropriate depends on the process, data protection and available interfaces.
Data types, access rights, provider terms and retention are clarified before the pilot. Sensitive information belongs only in approved environments. This does not replace any necessary legal review.
Bring a recurring process to our conversation. Together, we will explore the opportunities, the prerequisites and the limitations.
Your call is held online, directly with me, with no obligation.
Frankfurt am Main, Germany