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Defining an effective AI strategy: governance, data and innovation

Artificial intelligence is no longer a trend: it has become a major lever for performance, innovation and competitiveness. Yet many organizations are struggling to structure their approach and identify the uses that are truly relevant to their businesses.
A successful AI strategy is not simply a matter of deploying tools: it's about building a global vision aligned with corporate objectives, while guaranteeing security, governance and compliance.

At IT Systèmes, we support companies in their strategic thinking around artificial intelligence. Our role is to help identify relevant uses, assess their impact, build solid governance and select the most suitable technologies. We help our customers deploy AI that is ethical, transparent, secure and compliant with the RGPD and the AI Act. Our approach is based on complete mastery of Microsoft environments (Fabric, Azure OpenAI, Copilot, Purview) and intelligent automation of data flows , to make your AI projects concrete, measurable and accountable.

Our expertise in AI strategy

Defining the IA vision and objectives

We support management in creating a clear and realistic roadmap, aligned with their corporate strategy. This step helps identify business priorities and areas where AI can really create value, whether in automation, predictive analytics or customer relationship optimization.

Identifying and framing use cases

Every company has its own specific context. We analyze your data, constraints and existing tools to identify the most relevant and profitable use cases. This phase includes validating technical feasibility and projecting return on investment (ROI).

AI governance and compliance

From the outset, we integrate the principles of responsible governance and compliance with the AI Act: explicability, human supervision, bias management, security and model transparency. We deploy governance frameworks that guarantee ethical and compliant use of artificial intelligence, in compliance with the RGPD and ISO 27001 standards.

Data & AI architecture and data preparation

A successful AI strategy relies on a solid data foundation. We help companies to structure, cleanse and centralize their data in modern environments such as Microsoft Fabric or Azure Data Lake. With FlexFlow, we automate the collection, transformation and orchestration of data flows to make AI actionable at scale.

Technology selection and support for AI tools

Our experts advise and integrate the most appropriate solutions: Azure OpenAI, Microsoft Copilot, Power Platform AI, Fabric or models specific to your needs. We also support your teams in adopting and customizing these tools to maximize their operational impact.

Training, change management and cultural adoption

Artificial intelligence isn't just about technology: it's also about people. We train your employees to understand the challenges, limits and opportunities of AI. This approach facilitates adoption and establishes a culture of sustainable innovation, at the service of collective performance.

Why work with IT Systèmes?

  • Certified expertise in the Microsoft ecosystem (Azure OpenAI, Fabric, Copilot, Power Platform).
  • A global approach combining strategy, governance, technology and adoption.
  • Automation and integration solutions with FlexFlow.
  • A command of AI regulations (AI Act, RGPD, ISO 27001).
  • Tailor-made support to transform AI into a lever for business value.
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A clear, rapid and personalized approach

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01

Analysis and strategic framing

We start by assessing your digital maturity, business objectives and existing data. This phase enables us to establish a clear vision and define high-impact AI opportunities.
02

Studying use cases and technical feasibility

We identify the processes that can benefit from AI: task automation, predictive analysis, business co-pilots, anomaly detection, language processing or computer vision. Each use case is evaluated according to its ROI and technical complexity.
03

Definition of architecture and data flows

We design an appropriate Data & AI architecture, integrating Fabric, Azure or your existing environments. FlexFlow orchestrates data flows and ensures their quality, traceability and availability for AI models.
04

Deployment and responsible governance

We implement the chosen AI solutions, applying good governance and compliance practices (transparency, supervision, human control). The aim: to deploy AI that is useful, ethical and controlled.
05

Team training and support

We support your employees at every stage of the project, training them in the understanding, use and evolution of AI tools. This approach promotes rapid appropriation and lasting adoption.

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FAQ AI strategy

Why define an AI strategy before launching a project?

Defining an AI strategy is essential to avoid isolated, costly or ineffective projects. Poorly framed AI can generate biases, inconsistent results or regulatory risks.
A clear strategy aligns business objectives, technical resources and user expectations, and defines priorities, budget, responsibilities and performance indicators. It defines priorities, budget, responsibilities and performance indicators.
At IT Systèmes, we support this reflection in a structured way: needs analysis, use case scoping, data audit and ROI study. This approach ensures that every AI initiative is part of a comprehensive, measurable and sustainable plan.

What are the benefits of a well-structured AI strategy?

A sound AI strategy maximizes value and reduces risk. It helps identify high-impact projects, optimize internal processes, improve customer satisfaction and accelerate decision-making.
It also fosters collaboration between business and technical teams, while ensuring regulatory compliance and model governance.
By structuring AI strategy around your business priorities, IT Systèmes helps transform data into sustainable competitive advantage.

How does IT Systèmes support companies in their AI strategy?

IT Systèmes acts as a strategic and technological partner. Our experts will help you choose the most appropriate tools (Azure OpenAI, Copilot, Power BI, Fabric) and guarantee the security, compliance and reliability of your models.Thanks to FlexFlow, we automate data collection and preparation, making your AI projects faster, more consistent and easier to maintain.

How important is governance in an AI strategy?

AI governance is essential to supervise the use of models and prevent abuses. It defines rules for human supervision, transparency and ethics.
With the arrival of the AI Act, companies must prove that their AI systems are reliable, explainable and non-discriminatory.
IT Systèmes implements comprehensive governance frameworks, including documentation, model monitoring, traceability of decisions and validation of results.
This governance ensures that AI remains a tool for performance, compliance and trust.

What is the AI Act and how can IT Systèmes help you comply with it?

The AI Act is the European regulation designed to provide a framework for the development and use of artificial intelligence. It imposes strict requirements in terms of transparency, explicability and human supervision.IT Systèmes helps companies comply by auditing their AI systems, categorizing risks and implementing the necessary control mechanisms.Thanks to Microsoft Purview and Fabric, we ensure model traceability and complete documentation of processing. Our experts guarantee that every AI project complies with ethical, security and compliance principles.

What technological tools should you choose for your AI strategy?

The choice of tools depends on the company's level of maturity and objectives.
For Microsoft environments, we recommend Azure OpenAI for advanced models, Microsoft Copilot for intelligent assistance, Fabric for data centralization, and Power Platform for business automation.
These tools are interconnected, secure and compliant with European standards. IT Systèmes masters their deployment, integration and governance in hybrid or multi-cloud environments.

What role does data play in an AI strategy?

Data is the raw material of all artificial intelligence. AI can only be successful if data is of high quality, structured and governed.
IT Systèmes helps create a solid Data architecture based on Microsoft Fabric and Purview, where flows are orchestrated and cleansed via FlexFlow.
We ensure that every piece of data is traceable, compliant and relevant to AI models. This preparation guarantees accurate, reliable results that can be exploited over time.

How can Microsoft Copilot be integrated into a corporate AI strategy?

Microsoft Copilot is a powerful AI-based assistance tool, integrated into the M365 ecosystem. It improves productivity by generating summaries, automating tasks and facilitating decision-making.
IT Systèmes supports companies in its deployment, defining use cases, setting access parameters and guaranteeing data security and compliance.
Copilot thus becomes a concrete lever for implementing your AI strategy, accessible to all employees.

What is IT Systèmes' added value in building an AI strategy?

Our value lies in our holistic approach, combining strategic vision, technical expertise and regulatory governance.
We combine the capabilities of Microsoft Azure, Fabric, OpenAI, Purview and FlexFlow to create a coherent, ethical and high-performance AI strategy.
IT Systèmes helps you move from thinking to action, drive your AI projects in a measurable way, and turn innovation into tangible value for your organization.