Supporting the transformation from a traditional business model to an AI-driven organization
We help companies transition toward a data-driven model by integrating artificial intelligence solutions tailored to their business challenges. Our AI Strategy and Consulting offering provides a clear vision, expert recommendations, and a pragmatic roadmap to initiate, accelerate, and secure this transformation.
Our Methodology
1. AI Maturity Assessment or AI Training to Uncover Use Cases
We conduct an audit of your organization to assess the maturity of your data, processes, and digital capabilities. This step helps identify value opportunities and barriers to effective AI adoption.
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Leveraging a technical AI training to uncover use cases is a strategic and structured approach that not only builds internal skills but also helps identify real opportunities for applying AI in your business or organization.
2. Use Case Identification and Prioritization
We identify the most relevant AI use cases based on your industry, available data, and operational needs. Each use case is prioritized according to feasibility, business impact, and potential for scale.
Examples of use cases include:
• Predictive maintenance (industry)
• Automated customer service (insurance/retail)
• Intelligent risk scoring (finance)
• Talent and skills matching (HR)
3. Vision Definition and Strategic Alignment
We co-define an AI vision aligned with your business priorities:
• What problems should AI solve?
• What value will it bring to customers, employees, and partners?
• How can AI be integrated into your broader strategy?
This ensures a transformation focused on ROI and value creation.
4. AI Roadmap Development
We design a step-by-step implementation plan:
• Quick wins to deliver immediate value
• Medium/long-term initiatives with high potential
• Infrastructure, governance, and skill-building needs
• Integration with existing information systems
5. Make or Buy Strategy
We help you determine whether to build custom AI models or integrate existing solutions (SaaS/API), depending on your cost, timeline, and sovereignty requirements.
6. Pilots and Proofs of Concept (POC)
We design and implement pilot projects to validate use cases in a controlled environment. These POCs include concrete business KPIs and change management support.
7. Industrialization and Scaling
We support the expansion of successful projects through best MLOps practices (deployment, monitoring, updates), user adoption, and continuous feedback loops.
8. AI Ethics, Compliance, and Governance
We help you address regulatory requirements (GDPR, DSA, AI Act) and implement responsible, transparent AI governance within your organization.
