The Estee Lauder Companies
internal enterprise genAI (custom GPTs on proprietary data)
Estee Lauder deployed more than 240 custom GPTs through its OpenAI partnership and a cross-functional GPT Lab, improving the response times of R&D and marketing teams by more than 90% across a portfolio of over 20 brands.
Key points
- Internal enterprise genAI, 240+ custom GPTs connected to proprietary data.
- OpenAI ChatGPT Enterprise and Azure OpenAI, coordinated by a cross-functional GPT Lab.
- R&D and marketing response times improved by more than 90%, across 20+ brands.
- Evidence level B, confirmed active status.
Objective
Speed up time to market and the use of proprietary data (consumer studies, clinical trials, product data) across a portfolio of more than 20 brands, through specialized genAI assistants.
The deployment
ELC made more than 240 custom GPTs available to its staff through its OpenAI partnership, coordinated by a cross-functional GPT Lab that prototypes and prioritizes high-impact use cases. Applications range from analyzing large consumer study databases to synthesizing supplier information, along with per-brand copywriting GPTs. In parallel, a tool running on Azure OpenAI draws on the proprietary base of product data and claims to launch locally relevant campaigns faster. Through ChatGPT Enterprise, staff query the data vault (clinical trials, consumer studies) drawn from a portfolio of more than 20 brands including Clinique and Aveda.
Results Proof B
Official ELC press release (primary source) on the genAI program and its scope, complemented by trade press quantifying the 240 GPTs and the response time gain. Two consistent sources, one of them primary.
How it works
Inferred typical approachThe internal detail is not public. Here is a proven approach that leads to the same result, to adapt to your stack.
The stack in detail
- plateforme OpenAI ChatGPT Enterprise Foundation for staff access to the custom GPTs, with enterprise data isolation.
- outil GPT sur mesure (240+) Specialized assistants connected to proprietary data: consumer studies, claims, supplier information, per-brand copywriting.
- plateforme Azure OpenAI Service Runs the tool that draws on the proprietary base of product data and claims to speed up local campaigns.
- integrateur Microsoft Extended collaboration announced in April 2024 for genAI across the brand portfolio.
- infra Coffre de donnees ELC Consumer studies, clinical trials, and product data from more than 20 brands; this is the grounding source for the GPTs.
How it runs, concretely
For ops teams-
1Use case detection GPT Lab / AI team
The GPT Lab weighs value and effort, and prioritizes GPTs that are high value and quick to build.
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2GPT build AI team
A custom GPT is connected to the relevant data (survey, claims, suppliers).
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3Rollout AI / platform
The GPT is published to the relevant teams through ChatGPT Enterprise.
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4Business use marketing / R&D
Marketing and R&D query the data vault for insights, copywriting, synthesis.
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5Adoption tracking GPT Lab
The GPT Lab measures adoption and time gains to decide the next use cases.
The quality of and access to proprietary data (consumer studies, clinical trials, product data). If the assistant is not connected to this data, it loses its specificity and only produces generic output.
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 proprietary data (studies, claims, catalog)
- access governance for sensitive data
Org prerequisites
- cross-functional cell to prioritize use cases
- enterprise genAI license with data isolation
- change management / adoption
Possible stack
- OpenAI ChatGPT Enterprise
- Azure OpenAI Service
- custom assistants/GPTs connected to internal data
The plan, step by step
- Step 1Map the repetitive marketing and R&D tasks on proprietary data and prioritize by value and effort.Deliverable: Prioritized use case backlog
- Step 2Lay the foundation: enterprise genAI license, data access governance, cross-functional cell of the GPT Lab type.Deliverable: Usage framework and cell in place
- Step 3Build 2 or 3 pilot GPTs connected to the relevant data.Deliverable: Pilot GPTs published to the relevant teams
- Step 4Train the teams and track adoption and time gains.Deliverable: Adoption and time-saved dashboard
- Step 5Decide the next wave of GPTs from the measurements.Deliverable: Backlog v2 prioritized by the cell
First step: Map the repetitive marketing/R&D tasks on proprietary data and launch 2 or 3 priority GPTs with a dedicated cell.
The same pattern, proven in other industries
Adobe
in-house genAI production of marketing content at scale
Atlassian
internal genAI agents for account targeting and marketing content production
BMW
advertising and experiential creation with generative AI
Sources
- S1 The Estee Lauder Companies and Microsoft Increase Collaboration to Power Prestige Beauty with Generative AI Primary archive pending
- S2 Estee Lauder builds out generative AI capabilities with GPT Lab Secondary archive pending
- S3 Estee Lauder uses AI to reimagine trend forecasting and consumer marketing Interested party archive pending
An error, newer info, a source?
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