Intuit
done-for-you genAI assistant integrated into the product to reduce friction and convert
Intuit uses its own genAI system GenOS and Intuit Assist in TurboTax and QuickBooks: filing time cut 12%, experts 20% faster, 15% revenue growth tied to AI.
Key points
- Done-for-you genAI assistant integrated into TurboTax and QuickBooks to reduce friction.
- Built on GenOS and Intuit Assist, a proprietary in-house genAI system.
- Filing time cut 12%, experts about 20% faster.
- 15% revenue growth tied to AI, evidence A confirmed.
Objective
Reduce the friction that makes people abandon a tax or accounting journey, and increase the value delivered by experts, to convert and retain its 100 million customers better. Intuit runs its growth on its own genAI system, GenOS and Intuit Assist.
The deployment
Intuit built GenOS, its proprietary genAI operating system, and Intuit Assist, the assistant that comes from it, integrated into TurboTax and QuickBooks. TurboTax's done-for-you product, mobile and AI-driven, pre-fills and guides the taxpayer to reduce the time spent filing. On the assisted-service side, AI supports human experts so they handle a case faster. CEO Sasan Goodarzi ties revenue growth to this AI strategy. The scope covers about 100 million customers.
Results Proof A
Figures put forward by CEO Sasan Goodarzi at the earnings release (Q3 FY2025) and documented in trade press, with the genAI deployment (Intuit Assist) confirmed by Intuit's investor releases.
How it works
Documented architectureThe stack in detail
- plateforme GenOS Intuit's proprietary genAI operating system, the common foundation for the group's AI uses
- outil Intuit Assist genAI assistant derived from GenOS, integrated into TurboTax and QuickBooks (pre-fill, guidance, expert support)
- llm LLM orchestres par GenOS combination of proprietary models and third-party LLMs; the exact models are not detailed in the sources
- infra Pipeline de donnees first-party imported documents and the customer's financial history, the fuel for the done-for-you pre-fill
How it runs, concretely
For ops teams-
1Data import and understanding AI
Intuit Assist retrieves and interprets the customer's documents and financial history.
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2Pre-fill and guidance AI
The done-for-you product pre-fills the return and guides the remaining steps.
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3Expert support AI and expert
For full-service, the AI prepares the case so the human expert handles it faster.
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4Validation and filing Customer / expert
The customer or the expert validates and files the return.
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5Measurement Product team
Completion time, expert time, and conversion are tracked and tied to growth.
The customer's first-party financial data and imported documents. Without well-structured proprietary data, the done-for-you pre-fill degrades and the time savings disappear.
How your customers perceive this type of use
Sourced studiesUn ecart net separe les annonceurs des consommateurs : 77% des annonceurs voient l'IA positivement contre 38% des consommateurs (Yahoo/Publicis, 2024). Les mesures implicites confirment le rejet declare : en EEG, les pubs generees par IA produisent une activation memorielle plus faible que les pubs traditionnelles et sont decrites comme agacantes, ennuyeuses et confuses (NIQ, 2024). La disclosure a un effet ambivalent : elle augmente fortement la confiance quand elle est remarquee (Yahoo/Publicis), mais 27% des jeunes consommateurs disent faire moins confiance a une entreprise dont la pub est creee par IA (IAB, 2024).
Acceptance conditions
- Une disclosure visible : quand la mention IA est remarquee, la confiance globale envers l'entreprise augmente de 96% (Yahoo/Publicis 2024)
- Une qualite visuelle suffisante : les visuels IA de basse qualite augmentent l'effort cognitif et distraient du message (NIQ 2024)
Red lines
- Le contenu IA non declare puis identifie : 72% des consommateurs disent que l'IA rend l'authenticite difficile a etablir (Yahoo/Publicis 2024) et les marques utilisant des pubs IA sont plus souvent jugees inauthentiques ou non ethiques par les consommateurs que par les dirigeants (IAB 2024)
- Les mannequins et personnes generes par IA : 46% des consommateurs n'en veulent pas dans la publicite, l'inquietude premiere etant les standards de beaute irrealistes (Attest 2025)
Sources: Yahoo / Publicis Media (terrain Ebco) 2024 · IAB (avec Attest) 2024 · NIQ (NielsenIQ) 2024 · Attest 2025
How to replicate
Inference, not sourcedData prerequisites
- structured first-party customer data
- importable, usable documents
- instrumentation of completion time
Org prerequisites
- product data science team
- AI-support loop for human operators
- governance over sensitive data
Possible stack
- genAI assistant integrated into the product (custom or LLM + RAG)
- first-party data pipeline
- funnel measurement layer
The plan, step by step
- Step 1Target a high-abandonment step of the journey and instrument completion timeDeliverable: Quantified baseline (time, abandonment rate) on the target step
- Step 2Build the first-party data and document-import pipeline, with the governance that goes with itDeliverable: Structured customer data usable by the assistant
- Step 3Develop the assistant that pre-fills and guides on this narrow scopeDeliverable: MVP in internal beta with measurement of pre-fill quality
- Step 4Launch a controlled test on a segment of real customersDeliverable: Completion time savings and conversion impact measured vs a control group
- Step 5Extend to human-operator support (pre-prepared cases) and generalizeDeliverable: Assistant in production + tracking of expert productivity
First step: Target a high-abandonment step of the journey and connect an assistant that pre-fills and guides, with measurement of completion time.
The same pattern, proven in other industries
Leroy Merlin (Adeo)
genAI enrichment of product attributes and pages
eBay
GenAI generation of a product listing from a photo
JD.com
AI-generated live commerce host
Sources
- S1 Intuit leans into AI to improve taxpayer experience, boost revenue Established press archive pending
- S2 Introducing Intuit Assist: The Generative AI-Powered Financial Assistant for Small Businesses and Consumers Primary archive pending
- S3 TurboTax Meets Turbo Innovation: AI at Intuit (MIT Sloan Management Review) Secondary archive pending
An error, newer info, a source?
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