Adoption IA
8 min de lecture

How to adopt AI in your business?

Artificial intelligence (AI), particularly generative AI, is redefining the business landscape, revolutionising how companies operate, innovate, create value and interact with customers. While it presents challenges, its transformative power is undeniable, and those who navigate it effectively will reap immense value.

This article presents a clear framework for successfully adopting AI in sales and marketing, guiding organisations through the key stages of the AI adoption curve.
Author
Thomas SPITZ
Date de publication
11 February 2025

Presentation

Generative AI is ushering in a new era in sales and marketing, offering businesses the opportunity to rethink how they interact with customers, develop personalised experiences and innovate in their approach to growth. Unlike traditional deterministic systems, generative AI can produce varied results for the same input, reflecting the creative and adaptive nature of human thinking. This allows businesses to move beyond rigid processes and achieve new levels of creativity, efficiency, and performance.

However, to harness the full potential of generative AI, it is not enough to simply implement the latest tools. Organisations must learn to work with its non-deterministic nature, understanding that the power and potential of generative AI far outweigh the challenges. This requires a clear strategy that integrates AI into the core of your business, aligning it with your most critical objectives and ensuring it has a measurable impact.

As experts in AI and business strategy, we provide a comprehensive framework to guide your organisation through this transformation. This white paper outlines the key steps to help your sales and marketing teams fully leverage generative AI and maintain a competitive advantage in today's rapidly evolving market.

Pourquoi structurer votre parcours d'adoption de l'IA ?

Too many companies are jumping into AI without a plan. Tools are implemented without a clear strategy, use cases are scattered, and data security is often overlooked. The result? Inefficiency, duplication, and unnecessary risk.

To remedy this situation, AI Partners presents a 4-phase adoption curve, helping companies understand:

- Where they are today,
- What the next steps are,
- How to develop a long-term AI roadmap.

Step 1 : AI Experiment !

This is the testing phase. Often, it all starts with ‘Shadow AI’: employees testing AI tools informally, without a defined framework. The first priorities are clear:

Secure data usage.

Choose the right tools (co-pilots, ChatGPT, open source models, etc.).

Identify concrete and measurable use cases.

Train teams in incentive techniques to maximise the return on investment of AI licences.

⚠️ The real challenge? Finding the right balance between investment, security and performance. The goal is not to move quickly, but to move intelligently.

Step 2 : Agentic AI !

Once adoption is underway, companies can move up a gear: automating tasks or entire workflows via AI agents. These autonomous systems connect to internal data, APIs and business tools to perform actions without human intervention.

Example: An AI agent can analyse customer appointments in advance, identify user profiles, and generate personalised sales scripts based on purchasing behaviour — thereby boosting the efficiency of sales teams.

➡️ Think of AI agents not just as chatbots, but as AI operators integrated into your business workflows.

Step 3 : AI Edge !

At this stage, the challenge is no longer limited to using existing tools. It is about developing your own AI models, trained on your internal data. This change in approach allows you to:

- Create predictive models tailored to your business.

- Enhance personalisation and recommendation systems.

- Build a unique competitive advantage that cannot be copied.

Your historical data then becomes your superpower. And a real bulwark against your competitors.

Step 4 : AI First !

This is the final phase of transformation. The company is no longer just adopting AI: it is reinventing itself around it.

The process begins with a simple question: ‘What can AI do first?’ Then, human resources are only added where AI reaches its limits.

This approach unlocks:

- New business models, driven by the capabilities of AI,

- A complete overhaul of the organisation, designed from scratch,

- Continuous innovation, fuelled by your internal knowledge and data.

➡️ Soon, not having AI agents will be as much of a handicap as not having a website is today.

Conclusion :

Adopting AI isn't about following a trend — it's about transforming your business with vision and determination. And if you don't have a plan yet, your teams probably do. Without a framework, you risk losing control... without even seeing it coming. Take the time to explore our white paper or contact us to build your roadmap together. The future of your business is at stake right now.

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