Telia Advertisement: Why Do Corporate AI Projects Remain Experiments?

 

“Some companies enter the world of artificial intelligence (AI) as if they were boarding a plane without clear navigation. Although the technology is becoming increasingly accessible, according to Rokas Ališauskas, Head of Business Products at Telia, many companies remain at the stage of experimentation or pilot projects because they do not have the appropriate infrastructure and a clear management model that allows them to develop, test and deploy AI solutions on an enterprise-wide scale.

Limited to experiments

 

According to research company McKinsey, as many as two-thirds of the organizations participating in the study in 2025 are not ready to widely deploy AI solutions and are still experimenting with individual projects. According to R. Ališauskas, in many companies, AI initiatives begin as individual experiments, but later challenges arise in how to safely and effectively transfer them to real operations.

 

“Without a clear governance model and a standardized environment, implementing AI across the organization remains just a vision. One way to address the challenges of secure AI implementation is to create an AI Landing Zone – a pre-prepared technological environment that allows organizations to safely deploy AI models and solutions based on them in the public cloud,” says R. Ališauskas.

 

According to him, this environment includes data security controls, access control, network configuration, testing spaces and automated management mechanisms. It allows organizations to develop AI solutions safely and efficiently, thereby significantly accelerating the transition from individual experiments to systematic use of AI.

 

Increasing opportunities for innovation

 

Businesses are increasingly accessing advanced AI models through cloud platforms, such as Azure OpenAI Service or Amazon Bedrock.

 

They allow you to easily integrate advanced models into business systems and use them for various business purposes: automating customer service, analyzing documents or accelerating software development.

 

“However, technology itself does not ensure safe use. The most important thing is to have a solid infrastructure in which solutions are developed in accordance with security, legal requirements and internal organizational rules,” emphasizes the head of business products at Telia.

 

He says that in recent years, the largest cloud providers have been investing heavily in the development of AI. Microsoft’s partnership with OpenAI and Amazon’s cooperation with Anthropic allow businesses to use advanced models such as GPT‑4.1, Claude Sonnet 4.6 or Llama 4 and integrate them into daily business processes. This opens up new opportunities for innovation and efficiency, but at the same time the need for a secure and manageable environment is increasing.

 

“Technological solutions are easily accessible to organizations today. Challenges in implementing AI often arise due to the human factor, urgency, or insufficient infrastructure. The biggest challenge is to create an environment in which AI solutions can be developed safely, in compliance with organizational rules and data protection requirements. The “AI Landing Zone” principle allows such structures to be prepared in advance and significantly accelerates the systematic implementation of AI,” explains R. Ališauskas.

 

He adds that this infrastructure can be created both using international public cloud platforms and in cooperation with local technology partners who can offer regional infrastructure, data storage in Europe, and additional security and compliance guarantees. In this way, organizations can not only test and adapt AI solutions faster, but also ensure that their implementation is safe, effective, and meets both business, legal, and ethical requirements.”