From AI Assistant to AI Colleague: Why Agentic AI Is the Next Step for Organizations

Google Cloud AI Live 2026 made one thing abundantly clear: AI is rapidly evolving from a smart assistant into an active digital colleague. During the event, NextNovate sat down with Ennio Brands, Technology Manager at Elektramat, to discuss what this shift means for organizations and how they can start preparing today.

From Generative AI to Agentic AI

Over the past few years, organizations have embraced Generative AI to help employees write content, analyze information, and improve productivity. While these capabilities have delivered significant value, the focus is now shifting towards the next evolution: Agentic AI.

Unlike traditional AI assistants that simply respond to prompts, AI agents can independently gather information, interact with multiple systems, and execute tasks within business processes. As a result, AI is moving beyond being a productivity tool to becoming an active participant in the way organizations operate.

Technology Is No Longer the Biggest Challenge

During the interview, Ennio Brands explains that AI technology is advancing at an unprecedented pace. Building AI solutions is becoming increasingly accessible, meaning the conversation is shifting away from technology itself and towards governance and operational control.

Organizations are now facing questions such as:

How do you manage multiple AI agents?
How do you ensure security and governance?
How do you maintain transparency and accountability?
How do you prevent a fragmented landscape of disconnected AI solutions?

Successfully answering these questions will determine whether organizations can scale AI with confidence.

“We’re moving from AI as a tool to AI as a digital colleague that truly adds value to our business processes.”
Ennio Brands, Technology Manager @ Elektramat

A Strong Foundation Has Never Been More Important

Agentic AI requires far more than powerful language models. Organizations need a secure cloud platform, trusted data, and well-integrated business processes to unlock AI’s full potential.

Without a solid foundation, AI initiatives remain isolated experiments. With the right architecture in place, AI becomes a scalable capability embedded throughout the organization.

From Experimentation to Business Value

One of the key takeaways from Google Cloud AI Live 2026 was the industry’s shift away from isolated AI use cases towards enterprise-wide adoption.

The focus is no longer on demonstrating what AI can do, but on creating measurable business value through scalable, secure, and governed AI solutions.

Achieving this requires more than technology alone. It demands the right balance of cloud infrastructure, data, governance, security, and organizational adoption.

Conclusion

The message from Google Cloud AI Live 2026 was unmistakable: the future of AI is not about building more chatbots. It is about intelligent agents that collaborate with people, automate meaningful work, and become an integral part of everyday business operations.

The conversation with Elektramat highlights that organizations should start preparing today—not by deploying dozens of AI agents overnight, but by establishing the cloud, data, and governance foundation needed to scale AI responsibly and sustainably.