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TurboTax Meets Turbo Innovation: AI at Intuit

Published 1 month ago7 minute read

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AI in Action

This column series looks at the biggest data and analytics challenges facing modern companies and dives deep into successful use cases that can help other organizations accelerate their AI progress.

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Carolyn Geason-Beissel/MIT SMR | Getty Images

The first task for Ashok Srivastava, Intuit’s senior vice president and chief data officer, was to build a unified data platform for the finance software company. Now he’s overseeing the most impressive aspect of Intuit’s work: the development of GenOS, the company’s proprietary generative AI operating system for AI development. “AI is the future,” said Srivastava. “We needed a powerful operating system to empower developers and engineers. So we built one.”

Tax season is upon us, and it’s an appropriate moment to discuss the use of artificial intelligence at Intuit, the company behind the bestselling tax software in the U.S. and Canada. That would be TurboTax, which Tom has sometimes described as his favorite computer program. If you haven’t noticed, the U.S. tax code is rather byzantine, but TurboTax makes it bearable even for pretty complex tax returns.

If you think the time leading up to April 15 is tough for you, think about what it’s like for Intuit. Last year, Intuit filed 44 million returns for TurboTax customers, and the software computed $107 billion in tax refunds. Many of those returns were filed on April 15 itself. Tax day in 2023 involved 185 billion real-time transactions (an average of 11 million transactions per second) for TurboTax, and Intuit processed 14 terabytes of data. Fortunately, Intuit shifted to the cloud in 2017, the same year that Ashok Srivastava arrived as senior vice president and chief data officer (he’s the source of the statistics above). The job doesn’t necessarily require a rocket scientist, but Srivastava is one anyway. He worked for over a decade at NASA. He was also chief data scientist at Verizon for several years.

AI is the future. We needed a powerful operating system to empower developers and engineers. So we built one.

Srivastava’s initial efforts at Intuit were largely focused on driving customer benefits with AI and getting the company’s data in shape. When he arrived, the company’s AI and data assets resided in multiple database silos, with separate teams managing them. With the support of the management team, he began to sponsor investments in new AI and data platforms. Now Intuit has a unified platform across all of its products, as well as processes and roles for data curation and quality. There is a strong focus on data privacy and regulatory compliance, particularly for the customer data cloud.

In our experience, no data environment is perfect, but this one seems to be especially well managed. It’s opened the way to developing a series of sophisticated analytics and AI capabilities.

With the help of Srivastava (who also has primary responsibility at Intuit for AI) and his organization, TurboTax is getting smarter all the time, as are other Intuit products like QuickBooks, Credit Karma, and Mailchimp. Last year, the company introduced Intuit Assist, which has smart capabilities for all products, and it has been updated for this year. For TurboTax, the AI features include:

TurboTax also offers live support from tax experts, who are provided with AI-based advice about how best to address each customer’s tax situation. The live support is a product offering, but there is also free customer service. Srivastava noted that when customers engage with Intuit’s AI experiences, contacts with live support go down by 11% — a significant decline. AI has saved the organization nearly $90 million in the first half of this fiscal year, Srivastava said.

When customers engage with Intuit’s AI experiences, contacts with live support go down by 11%.

As a long-term user of TurboTax, Tom downloads the Home & Business program to his laptop, and that format doesn’t have much real-time advice. But he has noticed some AI functions this year: He could take photos of W-2s and have the information extracted from them, and he’s received emails from TurboTax with personalized advice about verifying his W-2s and other tax issues. The TurboTax online product has more AI capabilities because the user is connected to the cloud while using it.

Intuit Assist also provides AI services in QuickBooks, the company’s accounting software, and the company’s AI has some advanced AI capabilities in that software, particularly in terms of AI agents. The product now incorporates, for example, several agents that help customers with accounts receivable and payable. One set of agents can dynamically process forms, receipts, and emails to extract key data from them, and another set can create invoices or bills. Customers are very positive about their experience and tell the company these agents have helped them understand their cash flow, Srivastava said.

Perhaps the most impressive aspect of Intuit’s work in the AI technology domain is GenOS, the company’s proprietary generative AI operating system for AI development. GenOS is the analog of Windows, macOS, or Linux for AI, allowing developers of AI use cases to employ advanced and reusable resources to build their applications. It is, as the name suggests, primarily for generative AI (GenAI), but it also has linkages to an analytical AI platform and is becoming the go-to environment for any form of AI development at Intuit. As Srivastava noted, “AI is the future. We needed a powerful operating system to empower developers and engineers. So we built one.”

GenOS has a number of subcomponents, including:

The availability of all of these GenOS capabilities makes it much easier for developers to create new use cases. Soon after GenOS launched, hundreds of teams in the company were building thousands of applications. Although the operating system was originally intended to assist developers and engineers in creating GenAI applications, teams outside development, including marketing and finance, are also using it to do their work.

GenOS is so resilient that when commercial providers go out, Intuit can keep going by automatically switching to other language models. Given the rapid pace of GenAI progress, Intuit’s system does have to be updated regularly with new releases. But like any good operating system, it doesn’t require a lot of human support for users to employ it in their work. Srivastava is not neglecting the human element; the company has built a culture of “continuous AI transformation” into the organization.

Neither we nor Srivastava know of any other organization that has a similar operating system for generative AI. This customized system seems very likely to accelerate the pace at which AI is built into Intuit’s products and internal operations. Of course, we won’t be truly happy until the AI agents can simply be instructed, “TurboTax, do my taxes. And get me a good refund.”

Topics

AI in Action

This column series looks at the biggest data and analytics challenges facing modern companies and dives deep into successful use cases that can help other organizations accelerate their AI progress.

More in this series

About the Authors

Thomas H. Davenport (@tdav) is the President’s Distinguished Professor of Information Technology and Management at Babson College, the Bodily Bicentennial Professor of Analytics at the University of Virginia Darden School of Business, a fellow of the MIT Initiative on the Digital Economy, and senior adviser to the Deloitte Chief Data and Analytics Officer Program. His latest book is All Hands on Tech: The AI-Powered Citizen Revolution (Wiley, 2024). Randy Bean (@RandyBeanNVP) is an adviser to Fortune 1000 organizations on data and AI leadership. He is the author of Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI (Wiley, 2021).

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