Case Study
Bringing AI into the daily work of a brokerage and property management team in Athens, through one real property.
Services
Training
Method
A shared approach to everyday AI work
Toolkit
Reusable prompts, materials and a finished film
October 2026
MI4 Real Estate
Nikolas Laskaris
Business Development Manager · MI4 Real Estate
Original testimonial in English
The setting
At MI4’s office in Athens, the team followed short explanations, live Claude demonstrations and open discussion on their own laptops. The training was delivered in Greek. The property, its facts and photos were real. The owner, emails and documents were clearly marked training specimens. This kept the exercise close to daily work without using private client correspondence.
The brief
MI4 sells, lets and manages residential property in Athens, with around 250 managed units. The team already used Claude, ChatGPT, Copilot and Canva, but without a shared method. The goal was a practical approach everyone could use, with clear rules on what information belongs in an AI tool. A discovery call and a custom questionnaire shaped the training around the team’s priorities: documents, client emails, better prompts, branded visuals and short property videos.
The training
The training connected AI foundations to everyday real estate work: what current models do well, where they fail and how data handling differs between plans. The team explored automation, augmentation and agency, including the difference between a fixed workflow and an AI agent. Real estate examples made delegation, clear instructions, human review and accountability concrete. Before-and-after prompts in Greek and a reusable seven-part prompt structure led into live work with Claude: Projects, Skills, memory, connectors, web research and everyday settings.
One listing, seven connected steps
A worked training example in three phases. Each exercise built on the previous result, from the first enquiry to a property walkthrough.
1. Read the owner enquiry, identify facts and gaps, and draft a reply. 2. Check the documents against MI4’s checklist. 3. Review Golden Visa criteria against MI4’s rules, with human verification.
4. Turn the information into a structured property fact sheet. 5. Create the onboarding checklist as a Trello card.
03
6. Write a coming-soon post in MI4’s Instagram style. 7. Turn the listing photos into a walkthrough video.
Human review at every important step
Missing documents and deliberate listing errors gave the team something to find and question. Facts, gaps and draft outputs were checked before external use. The Golden Visa exercise practised checking against MI4’s rules; it was not an automated legal decision.
Training example · 1 min 30 sec · October 2026
From listing photos to a walkthrough
The finished film presented in the training shows how still property photos can become a connected walkthrough. Watch the original example from the MI4 programme.
01
Real references
Photos and room order
02
PHOTO A → PHOTO B
Move through the room
Check against the photos
Camera movement
Plan, generate, compare
03
CLIPS → FILM
Edit and review
Connect clips and check
Original property information shown in the training example.
At a glance
The closing discussion explored lease analysis, inbox routing and a tenant Q&A assistant as possible next steps. A six-level map, from a single prompt to an agentic system with human approval, helped place MI4’s ideas. These were discussed examples, not systems deployed in this training.
The details
Before the workshop
A discovery call and a custom questionnaire established the team’s priorities. The exercise used a real MI4 property and MI4’s own rules for sale documents, Golden Visa checks, Instagram style and property videos.
After the workshop
MI4 received the full presentation, the completed walkthrough video and a summary with next steps. Email support helped the team continue working with the material after the training.
What the team took away
What changed for the team
A shared method for everyday AI use
A reusable seven-part prompt structure
The presentation and follow-up materials
A finished walkthrough video from listing photos
MI4’s own AI-priority list across departments
See a similar opportunity in your team?
We look at your process, your systems and the result you need. Then we agree a sensible first step, from assessing the opportunity to building and supporting it.
More cases.
Explore more of our work across systems, training and business processes.
