PropTech Connect: Less Hype, More Action

AI remains a dominant topic. At the same time, companies want to know in ever greater detail what operational value a technology actually delivers, how it can be integrated into existing processes, and how quickly it will lead to measurable improvements.

1. AI must improve real-world processes

Until recently, the technical feasibility was the primary focus of many AI applications.

Today, the key questions are: Which specific process is being improved? Which manual tasks are being eliminated? Which decisions can be prepared more quickly?

In the real estate industry in particular, the potential therefore lies less in isolated AI functions than in integrating AI with actual project and business processes.

In project controlling, this can mean, for example, analyzing variances more quickly, organizing information in a structured manner, or supporting reporting and forecasting processes.

2. No good automation without good data

The more AI and automation are used, the more important the quality of the underlying data becomes.

Project information is often stored in different systems and formats. This makes structured data management a strategic issue.

This is because the same database serves as the foundation for AI-based analyses, benchmarking, portfolio evaluations, and automated reporting.

Companies that improve their data structures today are simultaneously laying the groundwork for future automation.

3. Process Trumps Feature

Another lesson learned in London: Customers are increasingly less likely to look for a specific software feature.

They want to solve a specific problem.

Reporting takes too long. Data has to be maintained multiple times. Forecasts are not comparable. Portfolio information has to be manually consolidated from various systems.

That is why successful digital transformation does not begin with the question of which feature is still missing, but rather with the question: Which process should be improved?

4. Integration is becoming increasingly important

The number of specialized software solutions in the real estate industry has grown significantly. At the same time, complexity is increasing.

ERP systems, financial software, data warehouses, reporting solutions, and PropTech applications must exchange information with one another.

The value of a solution therefore depends increasingly on how well it complements existing system landscapes and supports processes across system boundaries.

From PropTech to Operational Business Technology

Perhaps that is why the most important lesson from London is a more fundamental one: PropTech is maturing.

Technology is viewed less as an innovation project and more as part of the core business operations.

What's needed isn't just new ideas, but robust processes, reliable data, scalable solutions, and measurable business value.

For PROBIS, this confirms that we are on the right track: consistently consolidating project and portfolio data and building applications for AI, benchmarking, forecasting, portfolio management, and reporting on that foundation.