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The Rise of Vertical AI in Accounting (AI column)

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I read an interesting article about AI in accounting from the newsletter a16z Fintech from the AnderssenHorowitz Foundation. Actually, Andreessen Horowitz. (commonly known as the A16z) It is a leading Silicon Valley venture capital firm based in 2009 Mark Andreessen and Ben Horowitz. With a capital of $45 billion (initially 2025 year)The firm invests at different stages and in various industries, including technology, AI, healthcare, cryptocurrencies and fintech, betting on bold entrepreneurs and breakthrough innovations. Known for its active support of portfolio companies, a16z has invested in transformational projects such as Airbnb, Lyft and Slack, and has pioneered emerging sectors such as Web3 and artificial intelligence. By the way, the guys have an interesting one. selection of big ideas 2025 yearIt is interesting to read to expand your consciousness.

If we go back to the article, it is devoted to the growing role of vertical AI in accounting, especially in solving problems related to client consulting services. (Client Advisory Services, CAS). The essence of verticality is that accounting differs by area. (The authors give an example of construction and medicine.)This means that the universal approach (horizontal) It can lose vertical when there is a focus on a specific domain. In general, in the West, customer consulting services (CAS) They are a growth driver for companies due to the following strategic advantages: CAS builds strong customer relationships, opening up opportunities for cross-selling.

  • CAS revenues rise by 30% annually compared to 9% on the industry average. CAS provides a predictable and less seasonal revenue stream compared to traditional tax and audit services. But scaling a CAS requires significant labor on repetitive tasks such as closing the month, verifying transactions, and managing costs. These tasks are often performed manually by junior accountants or offshore employees, but now many have the desire to automate this with AI. AI can significantly reduce the time spent on routine tasks from hours to minutes by automating data collection, processing and reconciliation. However, this requires high-precision AI models that can work with a variety of data sources and take into account workflows in various industries. Next, the authors compare the vertical and horizontal approach, while natively embedding advertising. AdaptiveA company from their portfolio that vertically AI-figures accounting for construction firms.

It’s funny that companies with their own resources for implementing AI get a combination in the form of vertical elaboration of specific domains, as well as the creation of an AI platform for training and serving assistants. Something like that exists. assistant universe at T-Bank.

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