AI identifies the client’s request based on the content of the email, and accordingly, a label is added to the email. For example, “property purchase in Glasgow,” “property valuation in Dundee,” “general,” “advertisement,” etc. This information can also be directed straight into the CRM pipeline.
Gmaili tags
CRM tags
etc.
Automatic preliminary property evaluation based on client data (email, completed form, etc.).
Property Value
Sales probability
etc.
Central automation that integrates the key recurring activities described in the company’s SOP into a single “machine.” This can include file management, proposal creation, CRM, contact forms, and more.
CRM
etc.
The agent is trained on the company’s non-public data. The agent has access to databases, files, and the website, so its knowledge is always up-to-date.
New employee training
SOP and FAQs
Marketing
Creating listings
The agent is trained on the company’s public data. The agent has access to databases, files, and the website, so its knowledge is always up-to-date. The agent can be installed on the company’s website.
Service introduction
Finding contacts
Referring to information
Booking meetings
etc.
A Python agent running on the company’s server simulates human actions and can input data 10-50x faster. It can be integrated with any portals.
Adding listings to multiple portals simultaneously
Updating listing data
etc.
The agent can generate a parametric output based on the client’s description of their preferences, which can be compared with databases and/or portals. It can be connected to the company’s database (if available) or gather data from public information sources (e.g., portals).
Identifying the client’s request
Parametric search
Identifying suitable properties
etc.
The system connects with companies in different markets and niches by creating a personalized conversation (the same technology we used to contact you). It doesn’t send out 20,000 emails at once but selects the right time and manner for each message. This is an excellent solution for market research or marketing new products and services to business clients.
Contact identification
Content personalization
etc.
This solution automatically asks the client for Google feedback at the right moment. Technically, it can be an email, SMS, WhatsApp message, or something similar. The feedback received is responded to automatically by AI trained on your company’s data.
Feedback request & follow-up
Detection of positive/negative reviews
etc.
We developed a simple AI + drag & drop flow agent suitable for automating moderately complex tasks, customer service offerings, gathering bookings, and much more.
The agent can be trained very easily: enter the website address, upload the company's necessary documents for training, and specify instructions textually.
We created an internal AI agent for the company producing and selling passive house building blocks. The task of this agent is to assist the sales and customer service teams. The agent is trained on the company’s SOP, website, and documents.
The agent is used to analyse customer emails and compose responses, create marketing materials, and update the SOP
Time Saved : 3-4x per enquiry (50 hours per month)
This AI-powered automation divides inquiries into two categories (hot and cold leads), enriches each inquiry with data, and sends them to the client's CRM (in this case, FreshWorks CRM).
Time saved: 35 minutes per inquiry (90 hours per month)
This automation uses AI to categorize Thermomaja's advertising campaign clients into three categories: "Hot: wants a price," "Warm: wants consultation," and "Cold: just browsing." Based on this, the system automatically follows up with cold clients and leaves only hot and warm clients for the sales team. Clients are tagged in the CRM and placed in the appropriate pipeline.
Time saved: 2.5 hours per inquiry (350 hours per month)
The role of this AI agent is to analyze the suitability of a project chosen by the client for a specific property. The agent is trained on the Z500 SOP, relevant regulations, design requirements, and Z500 project database. The agent compares the client’s preferences with the chosen design, regulations, and the specifics of the property to give a preliminary assessment of the project’s suitability.
The agent’s second role is to help the sales team provide more accurate answers to clients' questions, aligned with all the regulations, norms, and the Z500 SOP.
Time saved: 1 hour per inquiry (100 hours per month)
This AI-powered automation creates a client profile, analyzes all the parameters using AI, and distributes the information. The automation creates a deal in the CRM for each client, enriched with notes and templates. Additionally, a Google Drive folder is automatically created for each client, where all documents are uploaded. Automation also generates detailed, personalized PDF proposals (for design and construction). All information is managed via a central CRM.
Time saved: 2 hours per inquiry (400 hours per month)
This is the first call where we get to know each other. We will get a general idea of what your company would benefit most from, and then you can decide if it is something that you would like to move forward with.
We will add you to our Slack environment and create a development team to discuss your entire SOP and strategic possibilities within the first week.
We will create a solid strategy and select the tools that will help implement that strategy.
We will set up all the tools and connect them through APIs into a single "machine."
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