Post by Nadine Soyez

 

In early July, I attended the RAISE Summit in Paris, one of Europe’s most relevant and future-focused AI conferences. What an experience. I learned a lot. I want to share with you my learnings and insights from the summit so that you are up to date. There were simply too many insights for a single blog post. That’s why I’ll be publishing a series of blog posts to dive deeper into each core topic.

Here’s the first one: The Agentic AI Revolution

 

 

We Are Entering the Age of Agentic AI

 

We’re at the start of the Agentic AI era, and things are moving fast. What was considered visionary just a short time ago has already become reality: autonomous, proactive, and personalised AI agents that take on tasks, make decisions, and intelligently support processes. This is not a future scenario. It is the next evolutionary step. And it is already unfolding. Organisations should act now.

Agentic AI Is Already in Use. It’s More Than Just Chatbots 3.0

One message from the Summit stood out clearly: AI agents are not just smarter chatbots. They are capable of independently interacting with customers, managing internal processes, and making decisions based on contextual data. They don’t just react, they act proactively.

I’ve also researched a few studies that strongly back this up. According to Cisco Global Research (2025):

• 93% of surveyed IT and business decision-makers expect Agentic AI to lead to more proactive and personalised services.
• By 2028, 68% of all service and support interactions with tech providers are expected to be handled by Agentic AI.
• At the same time, 89% of customers still want a combination of AI and human support.

Here is the link to the study.

 

Customers Will Judge You by the Quality of Your AI

 

A quote from the summit stuck with me:

“In future, customers will judge companies by how well their AI handles customer interactions. If it’s not good enough, they’ll simply switch to a competitor.”

This is more than just talk. Gartner predicts that by 2029, Agentic AI will autonomously handle 80% of common customer service requests, reducing costs by around 30% and offering a better, low-effort customer experience. Forrester also reports growing consumer adoption of Agentic AI in daily life from travel planning to concert bookings.

Here you can find both studies: Gartner, Forrester

The takeaway? Failing to adapt means losing both efficiency and customer closeness.

 

Speed Beats Everything

 

Here’s what many underestimate: The barriers to entry have dropped dramatically.

No-code and low-code tools make it possible to build first agents without major IT investments. Anyone in your team can learn how to set up AI agents for their own workflows. This will become one of the core competencies of future jobs. Roles are evolving: employees become AI co-creators and orchestrators, while routine tasks disappear. Those who don’t build up AI skills now risk being left behind. The core message from the Summit was crystal clear:

Waiting is the biggest risk. If you don’t start testing AI now with small proof-of-concepts, you won’t build the learning curve you’ll need in 3–5 years.

 

Challenges: Trust, Ethics, Transparency

 

Naturally, there are challenges, and trust is a major one.

Too much automation can quickly feel impersonal or even intrusive. Consumers expect:

• Transparency in AI-driven decisions
• The highest standards in data privacy
• Explainability rather than black-box systems

The answer according to both the RAISE Summit and current research is a balanced approach: Agentic AI combined with human interaction creates the optimal experience.

What Can Companies Do Today?

Here are a few concrete steps to get started:

• Identify low-risk, high-impact use cases for AI agents such as internal support or customer service.

• Enable your teams to explore no-code platforms like Make, Zapier, or Copilot Studio,  n8n

• Create internal learning groups or ‘AI Guilds’ to share best practices across teams.

• Establish ethical frameworks and governance models to ensure responsible AI deployment.

• Re-learn your customers: where do they expect seamless AI support and where do they still NEED and value the human touch?

 

Final Thought: What to Expect from Here

 

Agentic AI is elevating how companies interact with consumers to an entirely new level. The greatest value will be unlocked through:

• Speed
• Personalisation
• Proactivity

But only if companies prioritise trust, transparency, and ethical design. The evidence is clear: those who implement Agentic AI in a thoughtful way will gain a clear advantage in relevance, efficiency, and customer satisfaction.

 

Let’s keep the conversation going:

How is your company approaching Agentic AI? Have you launched any early projects—or are there challenges you’re facing where input would help?