Six cardinal rules and one piece of advice to transform your Business with AI
Six cardinal rules and one piece of advice to transform your Business with AI
Customer Success Stories
Integrating AI into a company can feel complex, but with the right approach, it becomes a powerful engine of growth.
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Inetum has identified six cardinal rules to help organizations navigate this transformation with confidence and impact.
“There are critical steps you must follow despite the buzz in the market. Speed and haste deliver different outcomes,” advises Beatrice Rollet, CTO at Inetum.
The message is clear: successful AI adoption requires method, structure, and the right rhythm.
1. Start with Business Value, not Technology
Before diving into what tools are available, focus on business transformation. Identify high-value processes, assess impact on teams, and prioritize use cases based on:
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Economic value.
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Technical feasibility.
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Scalability potential.
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Risks.
“Start with user needs, and a strong business sponsorship, then choose the right technology to serve the target business outcomes,” says Beatrice Rollet.
2. People at the Heart of it
AI should augment human capabilities. Success depends on:
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Equipping teams with the right tools and training.
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Fostering trust through transparency and explainability.
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Involving users early in design.
The goal: true human and AI collaboration that increases, enhances and transforms business value.
3. Define a Business-Wide Strategy
Generative AI and especially Autonomous AI Agents that excel in breaking silos generated by acquisitions, SaaS adoption. Adopting a 360° vision is key in leveraging the full potential of AI:
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Identify quick wins to demonstrate value, not just technology.
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Build an incremental roadmap.
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Secure business executive sponsorship and cross-functional alignment.
4. Build a Robust Technology Foundation
Without a strong technical backbone, projects fail. Key elements:
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Seamless integration with existing systems.
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Continuous performance and security monitoring.
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Flexibility to adapt to evolving business needs.
5. Modernize Data Management
AI is only as good as its data. Invest in:
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A unified, scalable data platform.
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Strong data governance.
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High-quality, well-structured datasets.
“The models only deliver the right outcomes if the data is right. Investment in data governance, which is always a good financial investment,” says Beatrice Rollet.
6. Embed Security, Ethics, and Compliance from Day One
AI introduces new risks, such as data poisoning, and prompt injection attacks that increase reputational exposure.
Mitigate against them by:
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Establishing AI governance policies.
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Monitoring regulatory changes.
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Ensuring ethical and responsible use.
“Responsible AI is a must-have especially in regulated markets. Collaboration between Legal, Security, Ethics, AI and IT specialists is a great investment to build trust and to boost adoption,” says Beatrice Rollet.
And One Piece of Advice: Think Product, Not Project
AI is not a one-off initiative. It’s a long-term plan with quick iterations. Treat it as a product with continuous investment, not a short-term project. This mindset enables: sustainable funding, iterative learning and model improvement.
AI transformation is more than a technology transformation, it is an organizational shift encompassing processes and financial skills. Companies that follow these six rules, and adopt a product mindset, will turn AI into a durable competitive advantage.
