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<p><strong>European regulations are demanding ever-greater transparency from digital platforms where supply and demand meet, such as marketplaces and rental platforms. Companies must be able to demonstrate exactly who is generating revenue through their platform, how much is being earned, and who is involved. For many organizations, this involves a complex process involving data from a variety of systems. The Zwolle-based technology company Supplied AI uses artificial intelligence (AI) to make that process smarter and more manageable, while also learning a great deal about how AI works in a highly regulated environment.</strong></p><p><img class="image_resized" style="aspect-ratio:1600/900;width:94.47%;" src="https://cms.aihub-oost.nl/uploads/69df7e47a10717b69ce8ffbd_hero_accounting_software_2025_optimized_00e8f85157.png?token=VrcLqr4wB2lT1d0LCLqj7tXkFLDkvziOJIdqPr2_8ZI&amp;expires=1777474145" alt="69df7e47a10717b69ce8ffbd_hero_accounting_software_2025_optimized.png" srcset="https://cms.aihub-oost.nl/uploads/thumbnail_69df7e47a10717b69ce8ffbd_hero_accounting_software_2025_optimized_00e8f85157.png?token=xgT5Nrc2Wkm8pvL1G35w_PeoGn-usgnc7oKaUZN94vY&amp;expires=1777474145 245w,https://cms.aihub-oost.nl/uploads/small_69df7e47a10717b69ce8ffbd_hero_accounting_software_2025_optimized_00e8f85157.png?token=fQtjl7rgLW1ou7vO3EnuhRjsivAyIxxgxMz-tq0x9vw&amp;expires=1777474145 500w,https://cms.aihub-oost.nl/uploads/medium_69df7e47a10717b69ce8ffbd_hero_accounting_software_2025_optimized_00e8f85157.png?token=Gwsjv5G2UCKi6ovJPNcrljpbX6I9QJni2Bsrs-DeOlc&amp;expires=1777474145 750w,https://cms.aihub-oost.nl/uploads/large_69df7e47a10717b69ce8ffbd_hero_accounting_software_2025_optimized_00e8f85157.png?token=U4MAaKXu0l23KvFtFrcsZFyHxpyYz4idSkIL1ZjoezQ&amp;expires=1777474145 1000w," sizes="100vw" width="1600" height="900"></p><p><a href="https://www.getsupplied.ai/" target="_blank" rel="noopener noreferrer nofollow">Supplied AI </a>is based in Zwolle and focuses on digital compliance for online platforms. The company works with organizations that facilitate large numbers of transactions between users, such as online marketplaces, booking and travel platforms, and other digital platforms where third parties offer products or services via websites or apps. Due to new European regulations, such as the DAC7 Directive, these types of platforms are required to report the revenue their users generate through the platform.  </p><p>According to Bas Bogerd, Chief Commercial Officer (CCO) of Supplied AI, this creates a complex puzzle in practice. The necessary information is often scattered across different systems. “Companies have to consolidate data from all kinds of sources: from payment providers to internal databases and Excel files,” he explains. “That data ultimately has to be compiled into a single legally compliant report.”</p><h2>Manual verification is time-consuming and error-prone </h2><p>Many organizations are not equipped to handle these types of reporting requirements. Compliance is rarely their core business, but collecting and verifying data is very time-consuming. The process begins with identifying suppliers or providers on a platform. Companies must then track how much revenue is generated through the platform, and this data must ultimately be reported to tax authorities.</p><p>In practice, this is often still done manually. Data is collected from various systems, consolidated into spreadsheets, and then verified before a report can be submitted. This is not only time-consuming but also prone to errors. “When you have a lot of manual work, there’s a high risk that an error will occur somewhere,” says Bas. “And when it comes to compliance, that can have immediate consequences.”</p><h2>AI Automatically Interprets Data </h2><p>To make that process more efficient, Supplied AI developed technology that uses AI to automatically interpret and structure large amounts of data. Instead of employees having to link datasets themselves, the system can recognize which data belongs together and how it should be processed for reporting. “Whereas you used to have to manually link columns and datasets, the system can now make suggestions on how to bring data together,” says Bas.</p><p>This approach proves particularly valuable because organizations often work with many different data sources—such as payment data, internal records, or exports from existing software. AI helps primarily by recognizing patterns in the data and translating them into a usable reporting format.</p><p>In practice, this means organizations spend up to 60% less time on manual data processing and checks. In conversations with clients, Supplied AI has found that this type of automation can significantly speed up the reporting process and reduce the risk of errors.</p><h2>Transparency is essential </h2><p>During the development of the technology, the team discovered that AI in a regulated environment has different requirements than many other applications. A key question, for example, was how many decisions a system is allowed to make independently.  </p><p>“When AI makes a decision, you must always be able to explain why,” says Bas. “That’s why we’ve paid close attention to audit trails: you need to be able to see who performed an action—a user or the system.” That transparency is essential when AI is used in processes that are legally or financially relevant.  </p><p>In addition, data quality proved to be a crucial factor. AI can automate a lot, but only when the underlying data is well organized. Much of the work, therefore, lies not only in smart algorithms but also in structuring and standardizing data from various sources.</p><h2>From a Single Report to Broader Application </h2><p>Supplied AI started with technology for DAC7 reporting, but now sees that the same approach has broader applications. New regulations, such as DAC8 for crypto platforms or European sustainability reporting (CSRD), mean that organizations must collect and analyze more and more data. This, in turn, increases the need for systems that can automate that process.</p><p>It’s striking that new applications often emerge from existing customers. Once an organization has automated a reporting process, it often turns out there are other processes facing similar data challenges. “Customers often come up with new questions themselves,” says Bas. “They see how much time it saves and then ask if other reports can also be made more efficient.”</p><p>Supplied AI is currently exploring how AI agents can play a greater role in reporting processes. The idea is that users will eventually be able to specify in plain language which report they need, after which the system will collect the necessary data and compile the report. But according to Bas, human oversight remains important. Especially in compliance processes, it’s essential that organizations can monitor what’s happening and why. “AI can speed up a lot of work,” he says. “But ultimately, you always have to be able to explain how a report was created.”</p><h2>Tips for entrepreneurs who want to use AI </h2><ol><li>Start with the process, not the technology. First, identify where most of the manual work is.</li><li>Invest in data quality. Without good data, AI can add little value.</li><li>Ensure transparency. In regulated sectors, it must always be clear how decisions are made.</li><li>Think ahead when it comes to regulations. Compliance requirements usually get stricter, not simpler.</li><li>Learn together with customers. New applications often arise from specific real-world questions.</li></ol>

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<p>European regulations are demanding ever-greater transparency from digital platforms where supply and demand meet, such as marketplaces and rental platforms. Companies must be able to demonstrate exactly who is generating revenue through their platform, how much is being earned, and who is involved. For many organizations, this involves a complex process involving data from a variety of systems. The Zwolle-based technology company Supplied AI uses artificial intelligence (AI) to make that process smarter and more manageable, while also learning a great deal about how AI works in a highly regulated environment.&nbsp;</p>