Alphaspirit / alphaspirit – stock.adobe.com
The initial response to the artificial intelligence of the accounting community was one of the wonder and astonishment and, for a while, it seemed that all the companies from the smallest showcase to the largest network were eager to demonstrate its adoption of technology.
But today, as more and more companies become familiar with AI – in particular its generative and agentic variants – companies focus less on the adoption of covers and more on governance, recognizing both its powerful potential and its very real limits.
Almost all the companies included in this year’s list have a formal governance policy specifically governing the use of AI, and the few who have not already found ways to work on AI in already existing executives. In addition, an approximate consensus of what an AI policy should look like began to form. Companies in general have implemented strict prohibitions for unloading data sensitive to customers in public AI tools, require compulsory training on responsible use of AI and regularly monitor their AI activities.
Many others have gone further, doing things like establishing AI interfunctional teams, addressing AI in their written information security plans, educating people on EA ethical challenges, or establishing private cloud environments specifically for AI.
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This has been done largely in recognition of the risk of AI and its limits. It is no longer 2023 and no one thinks that AI will solve all their problems. Yes, technology has done many impressive things: business leaders report time major, more in -depth analyzes, extended automation, better brainstorming and incredible efficiency in software development. At the same time, almost all the best companies for technology have been frustrated by inaccurate, incoherent or low quality results, appointing this as one of their biggest disappointments with technology.
Other companies have mentioned long and difficult implementations, cybersecurity and data confidentiality problems, and difficulty working with tools like Excel.
“AI is far from being a miracle solution. It is easy to build something that works in the innovation laboratory, but it is much more difficult to build something reliable and scalable throughout the business. Even well -trained models can be incoherent, and costs can increase rapidly without a clear yield,” said Jonathan Kraftchick, an insurance partner at the Top 100 Cherry Bekaert.
The approach of these companies towards AI has a lot in common with their technological position as a whole, because all the companies on the list of this year have also declared having a written technological strategy. Everyone adopts a deliberate and intentional approach to its technological infrastructure while waiting for them to bring dividends to the future.
When they were asked what they hope that AI would be able to do possibly, the leaders have mentioned not only these resolved problems, but also the robots being able to better connect points and better understand the contexts, which would allow them to become real assistants who can manage complex administrative tasks, as well as better data cleaning capacities and better interoperability Power point.
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However, these challenges do not prevent companies from continuing major investments in AI; They actually accelerate them, as technological expenses are increasing. Of the 10 companies on this list, four have said that their technological expenses had increased considerably since last year, four said they had increased slightly, it was said that it was roughly the same and that it was said that, although absolute costs have increased considerably, its user costs have shrunk. As for the reasons why so many companies spend more in technology, AI has been frequently cited, in parallel with the increase in service costs and the need to support additional staff.
“We are a digitally determined organization from top to bottom. We seek to invest in technologies that improve our capacities, our responsiveness and our quality. Tax year 2024 and 2025 has invested us in AI transformation solutions that support these attributes.
This concentration on AI plays in other aspects of their technology. For example, this year’s companies are based strongly on Cloud Computing, the majority saying that they do not have physical servers on site. Even among those who have at least one, the applications they use are almost entirely based on the cloud. Likewise, cybersecurity is also a high priority for each of these companies, because almost all adhere to at least one recognized cybersecurity standard, such as SOC 2, ISO 27001 or NIST CSF.
Overall, there are companies that take AI seriously in terms of adoption not only, but also monitoring and support for infrastructure. Given the rapid pace of development in this sector, who knows what we will see next year?
With all this in mind, below are the best technology companies of this year.
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