AWS Financial Services Global

Intuit

Data Lake / Data Warehouse Modernization · Enterprise Knowledge Search

Becoming a global financial technology platform, with AI and data at its core In 2019, Intuit declared its mission to become an AI-driven expert platform, undertaking a multi-year investment to achieve this goal at massive scale. Intuit’s AI-driven strategy has led to the creation of GenOS, a proprietary generative AI operating system built on AWS, which facilitates the rapid development and deployment of personalize

On AWS, Intuit processes an immense volume of data, making over 65 billion machine learning predictions daily and over 810M interactions per year.

Reported impact

Business outcome

Delivering highly personal customer experiences In this AWS re:Invent 2023 keynote video, Nhung Ho, vice president of AI at Intuit, discusses how the company is using Amazon Web Services (AWS) to drive major advancements in financial technology using generative artificial intelligence (AI). Intuit, known for its financial management solutions geared towards over 100 millions consumer and small business customers, is using Amazon SageMaker and Amazon Bedrock to combine cutting-edge technology with human tax-and-bookkeeping experts and deliver highly personalized customer experiences.

  • Cost Reduction
  • Customer Experience

Solution

Intuit’s AI-driven strategy has led to the creation of GenOS, a proprietary generative AI operating system built on AWS, which facilitates the rapid development and deployment of personalized financial solutions by providing the ability to harness underlying data and access to a multitude of third party and custom large language models (LLMs) that can be scaled out to customers with ease, all while balancing costs using Amazon SageMaker and Amazon Bedrock. Intuit, known for its financial management solutions geared towards over 100 millions consumer and small business customers, is using Amazon SageMaker and Amazon Bedrock to combine cutting-edge technology with human tax-and-bookkeeping experts and deliver highly personalized customer experiences. On AWS, Intuit processes an immense volume of data, making over 65 billion machine learning predictions daily and over 810M interactions per year. With its GenOS, the company is building new

Data flow

processing runs on Amazon SageMaker, Amazon Bedrock for the AI assistant workload.

Solution architecture

2 components · 1 layer
  1. Compute
    • Amazon SageMaker Runs core compute or model execution for the AI assistant workload.
    • Amazon Bedrock Runs core compute or model execution for the AI assistant workload.

Evidence from the source

Becoming a global financial technology platform, with AI and data at its core In 2019, Intuit declared its mission to become an AI-driven expert platform, undertaking a multi-year investment to achieve this goal at massive scale.
By running its end-to-end data strategy, data lake, and machine learning (ML) platforms on AWS, Intuit can accurately, responsibly and quickly leverage an explosion of data to unlock new opportunities for customers.
Delivering highly personal customer experiences In this AWS re:Invent 2023 keynote video, Nhung Ho, vice president of AI at Intuit, discusses how the company is using Amazon Web Services (AWS) to drive major advancements in financial technology using generative artificial intelligence (AI).
Intuit, known for its financial management solutions geared towards over 100 millions consumer and small business customers, is using Amazon SageMaker and Amazon Bedrock to combine cutting-edge technology with human tax-and-bookkeeping experts and deliver highly personalized customer experiences.
Intuit’s AI-driven strategy has led to the creation of GenOS, a proprietary generative AI operating system built on AWS, which facilitates the rapid development and deployment of personalize
On AWS, Intuit processes an immense volume of data, making over 65 billion machine learning predictions daily and over 810M interactions per year.
Transparency Evidence & methodology 56/100 reference value · 88% confidence · 2 sources

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value56/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth15/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity16/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact0/25
    0 metrics describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence88%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability23/25
    11 of 12 key fields link to a named source.
  • Direct evidence20/20
    6 direct source quotes retained.
  • Date provenance8/10
    The publication date comes from publisher-controlled metadata.
  • Source transparency9/10
    2 source references document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. AWS

    Intuit customer story

    First-party
    https://aws.amazon.com/solutions/case-studies/intuit-keynote-aws-reinvent-2023/
    Source type
    Vendor-published customer story
    Published
    Dec 18, 2023
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date
  2. Intuit Investor Relations

    September 4, 2024 - 10-K: Annual report pursuant to Section 13 and 15(d) | Intuit Inc. (INTU)

    First-party
    https://investors.intuit.com/sec-filings/all-sec-filings/content/0000896878-24-000039/intu-20240731.htm

    The filing says, "As of July 31, 2024, we had approximately 18,800 employees in 8 countries."

    Source type
    Official company filing
    Supports
    • Company size

Date evidence

Not separately sourced Industry, Region. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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