AI and Data Agency

Task automation, AI assistants, predictive analytics, document analytics, customer personalization, business process optimization:artificial intelligence becomes a tangible catalyst when it is based on reliable data and well-defined use cases.

Our AI agency supports companies in the design, development, and deployment of AI solutions that are useful, secure, and aligned with their business objectives.

We combine data, technical expertise, and an understanding of use cases to build systems capable of improving your operations, your decision-making, and your customers’ experience.

Tell us about your AI project

What does the market say about AI?

AI is advancing rapidly, but companies are no longer just looking to test tools. They want reliable, integrated, and measurable solutions. The real issue isn’t using AI “just for the sake of it,” but knowing where it creates value.

Business units are identifying an increasing number of use cases related to automation, data analysis, and content generation.

Successful AI projects rely on structured, governed, and accessible data.

The most mature companies are now integrating big data and artificial intelligence to improve decision-making, productivity, and personalization.

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Some Statistics on Artificial Intelligence

78%

Organizations are using AI. It is becoming integrated into business practices, with adoption set to rise sharply in 2024 (Source: Stanford HAI, AI Index Report 2025)

88%

Companies are using AI in at least one function. Companies are making rapid progress, but scaling up remains a major challenge (Source: McKinsey, The State of AI 2025)

63%

Many organizations do not yet have data that is ready for AI. Without reliable, structured, and well-governed data, AI projects remain difficult to scale (Source: Gartner, 2025)

When should you hire an AI agency?

An AI agency becomes a valuable resource when a company wants to move from an idea to a well-managed project.

Identify your top AI use cases

There are several signs that structured support is becoming necessary:

#01

Your teams are already testing AI tools, but without a common framework or performance metrics.
#02

You have a lot of data, but it’s difficult to put to use in your business operations.
#03

You want to automate repetitive tasks without compromising quality.
#04

You need an AI assistant that’s connected to your content, documents, or internal tools.
#05

Your business units want to better anticipate, segment, make recommendations, or prioritize.
#06

Your IT teams must ensure secure usage: access, confidentiality, compliance, and architecture.
#07

You’re trying to decide between generative AI, machine learning, data science, or simple automation.

Among our solutions and services related to data and AI

Agent-Based AI & RAG

We support companies in the design, scoping, and scaling of solutions that combine RAG (retrieval-augmented generation), agent orchestration, semantic search, embeddings, and human oversight when the level of risk requires it.

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Our services as an AI Agency

We treat AI as a transformation initiative, not merely as a technological experiment. Our support covers the entire process: assessment, scoping, data, architecture, development, integration, governance, and continuous improvement.

Discuss your DATA and AI project

- Analysis of your available data: CRM, ERP, PIM, CMS, internal documents, customer databases, and business history.
- Assessment of the quality, accessibility, and governance of your enterprise data.
- Identifying barriers: silos, incomplete data, lack of a reference framework, technical debt, security.
- Prioritizing use cases based on their business value, feasibility, and level of risk.
- Objectives: saving time, reducing errors, improving conversion rates, and aiding decision-making.
- Development of a clear roadmap, with phases that can be rolled out progressively.
- Development of AI assistants capable of leveraging your content, documents, knowledge bases, or catalogs.
- Implementation of response engines, writing assistance tools, summarization tools, and automatic classification tools.
- Structure responses using sources, business rules, safeguards, and human validation when necessary.
- Design of models for analysis, scoring, segmentation, or anomaly detection
- Analysis of the AI data to anticipate behavior, prioritize actions, or enhance customer insights.
- Monitor model performance over time to prevent drift and adjust the results.
- Integration with existing tools: CRM, ERP, DAM, PIM, e-commerce platforms, and line-of-business tools.
- Management of access rights, traceability, hosting, and privacy.
- Documentation of use cases, team training, and governance guidelines for maintainable AI.

Why should you entrust us for your AI and data project?

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A data-first approach

A solid AI project starts with data. Our dual expertise in data and AI allows us to structure data flows, ensure the reliability of data sources, and create solutions that can be used by business units—not just by technical teams.

Business-Related Use Cases

We avoid gimmicky projects. Every AI solution must address a real pain point: wasted time, excessive processing volume, lack of visibility, room for improvement in the customer experience, or slowed decision-making.

Secure, measurable, and maintainable AI

From the very beginning, we incorporate considerations related to security, compliance, integration, and monitoring. Useful AI must be understandable, controllable, correctable, and capable of being improved over time.

Our AI project methodology

#01

Scope Definition: Laying the Groundwork for the AI Project

Before any development begins, we align the business, data, and IT teams around the actual objectives: priority use cases, available data, risks, IT constraints, success metrics, and the scope of the first release.

Deliverables: a clear AI roadmap, a backlog of prioritized use cases, and a validated target architecture.

#02

Build: Prototype, Test, Scale Up

We develop the initial use cases through short iterations. Prototyping, testing with real data, user feedback, refining business rules, and securing access: each step allows us to validate the value before expanding the scope.

This approach minimizes unnecessary investment and accelerates adoption by teams.

#03

Deployment: Integrating AI into Business Applications

An AI solution only creates value if it integrates seamlessly into teams’ tools and workflows. We support deployment, training, documentation, monitoring, and post-launch adjustments.

The goal: to make AI usable, reliable, and understandable to end users.

#04

A methodology enhanced by AI

AI can also speed up delivery : requirements analysis, test generation, documentation support, data exploration, and development assistance. We use it as a productivity tool, without sacrificing human validation or quality standards.

Launch your first AI use case

Our partners for your AI projects

Our selection of partner solutions is based on our experience in the digital space. Our agnostic approach allows us to identify and offer you the best solutions on the market. We configure their native AI tools or enhance them with additional or custom AI modules.

See all our partners