Scalable Enterprise AI Strategy

responsible-ai
microsoft
adobe
wpp
accor
sephora
stmicroelectrics
client
clarins logo
pernod ricard
rexel
Overview

At WPP, I led programs that operationalized AI for large-scale marketing workflows, such as optimizing media and CRM performance with predictive and next best actions models. At Adobe, I worked on applying machine learning and predictive analytics capabilities to automate campaign personalization, content tagging and performance insights. At Microsoft, I co-built the Responsible AI practice, driving adoption of the company’s governance framework, running risk assessments for AI deployments, and guiding product teams on fairness, transparency, and human-in-the-loop safeguards. I am also formally certified in Responsible AI, AI models, and Copilot M365 which anchors my work in concrete standards rather than abstract principles.

AI Ambition & Business Value

The Gap

At start, with the rise of generative AI end of 2022, many organizations launched genAI initiatives without a measurable use-case pipeline or economic model. As a result, those pilots never scaled because they failed to show tangible results to decisions makers.

Nowadays, while AI is the center of attention for all, its fails to be adopted massively and to prove their return of investment to key decisions makers.

My Methodology

I believe the key for success is to involve both business and technical experts for the entire design process. Business tells you the Why and Who, technical tells the How and Where.

I work with c-suite and key stakeholders to structure AI roadmaps that start from your business priorities, quantify ROI , and prioritize use cases with operational feasibility and data readiness.

I advice on top use cases by sharing concrete examples of successful AI projects. I select the right set of technologies for each of them.

Integrated Ecosystem

unified AI architecture

The Gap

AI efforts fail when data is inconsistent, siloed, or not accessible across teams. AI can also be a thread to secure data and systems.

Companies build proofs of concept that never move to production because integration is overlooked.

AI is often perceived as a “black box,” and can be deceptive, leading to low trust and poor adoption across marketing, sales, product, and operations.

My Methodology

With my enterprise architecture and data background, I help design data governance frameworks that make AI usable at scale.

I share best practice to secure your data. I map the full chain—from ingestion to activation—and ensure AI outputs can flow into CRM, content platforms, analytics, and personalization engines if needed.

I create enablement programs that demystify AI, define new roles and workflows, and best practicess to deploy, use and monitor AI responsibly and effectively.

Responsible AI 

The Gap

Adressing the legal, ethical, and security implications are key criteria at deploying AI broadly. Organizations find it hard to keep up with all those aspects that change very rapidely and requires multi-disciplinary skilled people.

My Methodology

I work with your business, legal and technical team to build a responsible AI framework model aligning compliance, security, and operational teams—ensuring AI is not just innovative but sustainable and safe. I share best practices and tech solutions to make your AI strategies responsible, whatever you are building your own in-house solutions or relying on a third party vendor (ServiceNow, SAP, Salesforce, Adobe, Microsoft, etc).

Case studies and insights on artificial intelligence

View all
How Can Tech Innovation Better Fight Against Fake News ? Greentech Meetup 2025Artificial Intelligence

How Can Tech Innovation Better Fight Against Fake News ? Greentech Meetup 2025

emiliefromtechheartemiliefromtechheartDecember 1, 2025
AI’s Role in Climate Risk Prediction – Greentech Meetup 2025Artificial IntelligenceSustainability

AI’s Role in Climate Risk Prediction – Greentech Meetup 2025

emiliefromtechheartemiliefromtechheartDecember 11, 2025
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"Emilie is extremely good at understanding the individual quirks of a business objective or digital product, and then creating actionable digital strategies to suit that specific situation. Much of the SEO work that Emilie did while working for us still benefits us today."

Sam HaythornwaiteMarketing Director, UK's leading media company
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"Thanks for the great collaboration. Your leadership and your assertiveness to getting things done are key. Your impact in getting the Industry Use Case repository in place really helps the Teams on the ground across all functions and roles to have better and deeper conversations with their customers globally.

Axel HeyengaIndustry Strategy Director
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It was very useful for us to start again from the beginning. Let’s start with discussing our strategy before speaking about processes and people needed. Thanks to Emilie and the extended Adobe team we finally took the time to sit together and understand the importance of working as one team.

Head of Performance & Optimization, Group Renault
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Emilie is an incredibly talented analytics person. She is top notch in providing digital analytics strategy and optimizing large scale global media campaigns. Her extensive background with reporting tools such as Discover enabled her truly drive change in her past organization. I highly recommend her for any analytics role.

Brad WarthanSenior arketing Intelligence Director, Annalect

”“Success stories show how AI deployment can transform diverse industries … AI is expected to drive an economic transformation, generating an estimated $15 trillion to the global economy by 2030.

Michael DellChairman & CEO of Dell Technologies