Data & AI Strategy

Data & AI strategy guiding you along your business transformation journey through a proven strategic framework .

We help our clients define the future state of their business through a proven data strategy’s framework.

At Artefact, we combine industry-leading expertise in data and AI with a hands-on approach to ensure that our strategies deliver tangible business results.

Our multidisciplinary teams work closely with your organization to develop strategies that not only meet your current needs but also prepare you for future growth.

Our approach to data and AI strategy goes beyond technology—we focus on driving business transformation. We collaborate with your leadership and teams to develop a clear, actionable roadmap that harnesses the power of data and AI.

From initial assessments to full-scale implementation, we ensure your organization is prepared to leverage data and AI for long-term success.

Background Artefact services - AI Adoption

building the foundations for their transformation

Vision & Roadmap

A clear and immediately actionable Data/AI strategy (including prioritized use cases) that will support your overall vision, serve your business objectives, with a robust value-driven program management methodology.

Data Factory

A Data Factory to quickly deliver relevant, sustainable, and actionable use cases enhanced by a combination of technical and organizational assets, enabling the implementation of new internal and external services.

Data Governance

Data Governance that ensures the accessibility and quality of your data for all uses of the vision, in an efficient, scalable, and sustainable manner.

Data Platform

A Data Platform designed to evolve in line with your needs and capabilities, enabling seamless adoption by business, data, and tech users, and maximizing the value extracted from your data.

Culture & Change

Evangelizing the Data Culture within your organization to enhance your teams’ skills, disseminate, and sustain best practices.

Organization

A coherent organization (IT, Data, Business, etc.) that takes into account the reality and culture of the organization, enabling the support of data transformation.

Building future-ready strategies with Data and AI

From initial assessments to full-scale implementation, we ensure your organization is prepared to leverage data and AI for long-term tangible success.

Data Strategy Development: We craft a comprehensive strategy that aligns your data initiatives with your business objectives, enabling more informed decision-making.
AI Opportunity Identification: We identify high-value AI use cases that can drive operational efficiency, enhance customer experiences, and unlock new revenue streams.
Data Governance and Compliance: We ensure data integrity, security, and compliance with industry regulations, safeguarding your organization’s most valuable assets.
AI Implementation Roadmaps: We design and implement AI solutions that are tailored to your unique business needs, ensuring seamless integration and scalability.
Cultural Change and Upskilling: We drive a data-driven culture within your organization, providing the tools and training needed to fully harness the potential of AI and data.

Data & AI Transformation for Business Report

Unlocking the potential of data & AI for accelerating your business and improving your entreprise’s performance.

Download report

While most actors have started building the foundations for their transformation, several challenges prevent the adoption of AI at scale.

Multiple PoCs pave the way for distrust

Companies face a lack of business consistency with use cases scarcely fitting with long-term company ambitions, and few POCs coming to production due to a lack of anticipation of prerequisites, generating frustration.

Expertises are scarce

Organizations experience a real challenge in recruiting and retaining scarce profiles, and misunderstandings often appears with business front-liners due to a lack of decoders.

Qualitative data is scarce too!

Poor quality data result in long time-to-market and low accuracy. Unaware of these benefits, business front-liners show limited commitment to data governance, only perceived as a painful burden.

Silos remain a plague

People misinterpret the idea “data is power”. By keeping their data in a proprietary ecosystem, organizations deprive themselves from the potential of external data sources to enrich their models. Further missed opportunities arise when people forget that they are a critical link in the data value chain.

Techs need to reinvent themselves

Focused on shiny new techs, technical teams tend to forget business value, re-creating what are now turnkey solutions on the market, and can be reluctant to changing outdated ways of working in favor of agile methodologies.

People mistrust AI

Employees see AI as a threatening substitute, rather than a promising empowerment tool, and Innovations are often introduced as plug-and-play solutions with “magic inside”, leading to disinterest upon first failure.

Our expert content about Data & AI transformation

Smarter decisions, stronger ROI: Marketing Measurement in Pharmaceutical

In today’s data driven marketing landscape, Customer Data Platforms (CDPs) have become an essential component of a successful strategy. A CDP is a centralised system...

Grounding AI Agents: Why Clean Data Is Non-Negotiable

In this article, we explore why marketers – despite having more data than ever – struggle to turn it into actionable insights, and how AI...

How AI is changing search and what it means for customers, marketers and brands

AI is transforming search, shifting it from ranking and retrieval towards reasoning and synthesis. This whitepaper charts this evolution, explains the mechanics of large language...

A C-Suite Guide to Marketing Measurement in 2025

In 2025, marketing measurement has become a top priority for the C-suite. While generative AI is transforming campaign execution, measurement is what proves value and...

The Execution Problem: Why Even Flawless Pricing Strategies Fail Between the C-Suite and the Shelf

Margin leakage often hides in complex pricing, promotions, and multi-channel strategies, where list prices rarely match the final pocket price. Promotions can cannibalize sales, and...

Unlocking Commercial Efficiency: The Transformative Power of AI Agents

AI Agents are revolutionizing commercial operations by automating tasks, enhancing customer relationships, and providing actionable insights. From boosting salesforce efficiency to optimizing pricing strategies, these...

Artefact publishes its research on AI applied to the identification of atypical customer profiles, developed and tested with a leading French Bank

Artefact, in partnership with Societe Generale and Sorbonne University, presents a new AI approach to identify atypical customer profiles. Tested on real banking data, this...

CDP Beyond POC Stage: Why Use Cases Alone Keep You Trapped

Customer Data Platforms (CDPs) promise a truly unified view of your customers, opening doors to hyper-personalization and driving significant ROI. Yet, if you're like many...

Is META trying to make agencies redundant?

Meta's recent announcement to fully automate ad creation using AI by the end of 2025 marks a significant shift in digital advertising. While this move...

SEO for LLMs: How to rank in Large Language Models

In this article, we explore strategies to optimize your website and brand for LLM visibility and improve your chances of being mentioned in AI-generated answers

Shopping in the age of chatbots and Generative Engine Optimization (GEO) - where do we stand today?

This article explores how shopping behavior is rapidly evolving through the rise of Generative Engine Optimization (GEO) and AI-powered search experiences. With platforms like ChatGPT...

Google Marketing Live 2025: AI, Multimodal Search, and Agentic Experiences in Google, YouTube and its Advertising Solutions

Stepping out of Google Marketing Live 2025, one thing is crystal clear: the future we’ve been discussing in abstract terms has arrived. Google is no...