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Agentic AI for Enterprise by ÎÚÑ»´«Ã½

Empower your enterprise with agentic AI-driven transformation.

We help organizations looking to derive actionable insights and achieve agentic-driven business transformation. To do that, we streamline high-performance deployment and reduce complexity by seamlessly and securely integrating agentic capabilities into their existing technology infrastructure.

Scaling AI agents is not a one-time project—it’s a structured journey. With the right strategy, foundations, and execution, enterprises can move from disconnected AI pilots to a fully AI-driven enterprise.

We offer bespoke AI solutions tailored to your unique business needs, ensuring seamless integration of AI agents as part of your team in sync with your company-specific processes. 

How we can help

AI agents will transform the way businesses operate, leading to unprecedented levels of productivity, scalable efficiency and innovation.

According to our research, most organizations agree that AI agents promise smoother automation and enhanced productivity: AI agents will help drive higher levels of automation in our workflows (71%) or significantly improve customer service, leading to improved satisfaction (64%). Still organizations meet key challenges such as integration complexity, accountability, governance, and ethical concerns.  

We help organizations navigate the complexities of implementing agentic AI solutions, bringing robust governance frameworks that allow compliance, scalability, and consistent performance. We also address strategic objectives such as:  

Rapid prototyping and deployment

Accelerating AI agent rollouts with pre-configured workflows and optimized infrastructure, reducing time-to-market. 

Seamless integration

Combining AI agent capabilities with existing business applications to unlock new levels of process automation, efficiency and data-driven decision-making.  

Scalability and governance

The dedicated agentic capabilities of ÎÚÑ»´«Ã½ RAISE, including governance, real-time monitoring and orchestration, enables unified control of agentic solutions with tangible results. 

Our offer includes three possible implementation routes: Off-the-shelf agents for common tasks, custom AI agents tailored to specific processes, and embedded agents integrated into existing platforms. This flexibility ensures that our AI agents fulfill the unique requirements of your organization for optimal performance and scalability. In addition, our dedicated agentic gallery simplifies the procedure of developing AI agents from the ground up for each business process, resulting in significant time savings and cost reductions.  

Partnering with NVIDIA, ÎÚÑ»´«Ã½ is building over 100 bespoke AI agent-driven solutions tailored to various industry use cases, from life sciences, telco or financial services to manufacturing and retail. 

The future of enterprise operations lies in the seamless integration of AI agents working together with humans and under their control.

ÎÚÑ»´«Ã½ RAISE: Reliable AI solution engineering

Discover our Gen AI value cases operational accelerator – for cost, scale, and trust.

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Meet our experts

Mark Oost

AI, Analytics, Agents Global Leader
Prior to joining ÎÚÑ»´«Ã½, Mark was the CTO of AI and Analytics at Sogeti Global, where he developed the AI portfolio and strategy. Before that, he worked as a Practice Lead for Data Science and AI at Sogeti Netherlands, where he started the Data Science team, and as a Lead Data Scientist at Teradata and Experian. Throughout his career, Mark has worked with clients from various markets around the world and has used AI, deep learning, and machine learning technologies to solve complex problems.

Itziar Goicoechea

Agentic AI for Enterprise Offer Leader
Itziar has more than 15 years of international experience as a tech and data leader, specializing in data science and machine learning within the e-commerce, technology, and pharmaceutical sectors. Before joining ÎÚÑ»´«Ã½, she was Director of Data Science and Machine Learning at Adidas in Amsterdam, leading a global team focused on developing AI solutions for personalization, demand forecasting, and price optimization. Previously, she contributed to computer vision and natural language processing projects at Bayer and Apple. Itziar holds a PhD in Computational Physics, during which she applied deep learning and machine learning techniques to the discovery of new materials.

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