Winter is finally over, so it’s time for our second customer newsletter of the year.
In this newsletter
As mentioned in our previous newsletter, we offer our customers pre-built dashboard templates. For example, if you manage a commercial or residential real estate portfolio, we can select a suitable template from our range of pre-built widgets and publish the finished dashboard very quickly. The pre-built solutions cover the following areas: Commercial, Residential, and Corporate Real Estate.
So if you’re looking for a complete package which includes data population, integrations, data cleansing, and data updates as a service, along with a customized set of KPIs, please contact us. You are free to outsource the day-to-day tasks of property management (rental accounting, technical management, financial management, or leasing) to any management company, but with Assetti, you retain control of the data yourself. This enables data-driven management of your real estate portfolio.
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How often have you or your colleagues struggled with Rent roll: changed apartment details or property numbers, updated leases, or spaces that have been removed? Most of your time is spent checking the data line by line and correcting errors until your eyes start to water and your head aches.
To optimize and speed up this process, we conducted a test earlier this year using a few common AI models, and they handled the task very well. They were able to compare the new Rent roll with the current one or the latest Rent roll with the previous one. They were able to process the rent reports in CSV/XLS format from all local property information systems with virtually no issues: this included Haltia, Koki, and Tampuuri, as well as the Swedish Vitec. Tenant lists (Mieterlisten) from German property management software were also successfully processed. Of course, for now, a human is still required to oversee the process and verify the final result. A full autonomous agentic workflow is still to be finalised.
Technically speaking, the effort involved is not particularly big. If your existing process of updating the income forecast for your real estate portfolio, the valuation, or the Rent roll — which is supplied to the bank as part of the covenant report — is currently tedious and time consuming, let’s discuss how we can save 90% of the time spent.
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We founded Assetti in October 2013. In nearly 13 years of our existence, we’ve certainly handled hundreds of Rent roll files and income statements.
👉 One problem we encounter time and time again is how to easily forecast the financial performance of a real estate portfolio. It’s certainly not easy, and there are no apparent shortcuts.
The reasons for the challenges in forecasting are obvious.
đź“ŤRevenues must be forecasted based on current and future lease agreements and the rental portfolio. Here, you can use either actual lease rents and portfolio data or ERVs (Estimated Rental Values alt. Market rents) and factor in vacancies and similar reductions.
đź“ŤOperating expenses (OpEx) can be extrapolated based on accounting records, as actual and target data are typically somewhat available. The basis for forecasting is also understood relatively uniformly across professions. Furthermore, property managers and building managers, who budget operating costs in practice, have a good understanding of their properties, the local market situation, and cost levels.
📍Then there are repairs — or, more broadly, Capital expenditures (Capex). This is the most challenging category. Even when building condition assessments and maintenance plans are available, the relevant data is stored in PDF reports and separate Excel files — and must be manually transferred from there, property by property, into the forecast. On top of that, Capex decisions are inherently subject to change. A major project can easily be pushed back by a year or two as soon as a property is planned to be sold or the portfolio to be refinanced. And even if separate software for maintenance is in use, the data does not automatically flow into the forecast — it always passes through a human manual filter first.
This overall dilemma we have touched in one of our earlier blogs.
Given the diversity of the data and its varied sources, it is generally easiest to create the forecast in Excel. So what does that lead us to? 80–90% of forecasts are created and maintained manually in Excel — even in large companies — which leads to a significant amount of manual work, high risks, and, in the worst case, fatal errors. The fundamental issue with forecasting can be summed up in one question: should it be based on Rent roll or accounts? Our answer is: both ✅
We are the first in the industry to develop a method for linking rental forecasts with operating costs and repairs. More on this in upcoming publications — if you’d like to be among the first to try out, please let us know.
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To refresh our memories, we’ve decided to include a quote from a customer in each newsletter. This time, it’s Mrs. Tiina Raivio’s turn; she serves as the Finance Director at Aalto University Campus & Real Estate (ACRE).
“We were looking for a property asset management solution to replace an outdated tool, particularly for lease management and invoicing processes. We opted for a modern SaaS solution where Assetti’s lease management is integrated into our existing finance admin software — and this allows invoicing to work seamlessly. With this integrated solution of modern tools, we’ve optimized our daily workflows!”
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Everyone is telling you AI will transform your business. Fewer people are asking the harder question: what happens to organisations designed for annual cycles when the observe–analyse–decide–execute loop compresses into weeks?
Real estate operates on long rhythms by nature. A year in finance. Three to five in development. Ten to thirty in asset holding. The technology is not the difficult part. The mismatch between what becomes possible and how companies are governed — that is where the real friction lives. This has been pondering our mind for a while. Our guest blogger Rasmus Juul-Nyholm found five themes driving the scene
To get full story, click here.
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👉 The new ZIA/EY Digitalization Study 2025 (in German) has been released and offers highly insightful perspectives on the state of the commercial real estate industry. To summarize, we’ve compiled a few notable points and compared how digital tools like Assetti can solve the biggest challenges:
⛔ 90% is data preparation for AI‍
✅ Assetti provides the structured data foundation. Without clean data, AI isn’t possible; Assetti is the “clean room” for real estate data.
â›” Excel chaos
✅ Assetti’s core value: “End the Excel chaos.” It offers a visual, centralized alternative to the manual spreadsheets criticized in the study.
â›” Silos & Integration
âś… Assetti places a strong emphasis on its API and integrations. It acts as an integrator that bridges the gap between property management and asset management.
â›” Data Lifecycle Management (DLM)
✅ The study calls for a DLM that spans “from acquisition to divestment.” Assetti tracks asset performance throughout their entire lifecycle.
â›” User Adoption
✅ The study cites mindset as a barrier. Assetti’s visual, intuitive user interface directly addresses the “fear of complex technology” mentioned by Prof. Tobias Just.
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