Many organizations, who are enthusiastic about generative AI, face disappointment when promising AI pilots are exposed to information security and regulatory risks during the implementation phase. The real problem is not the technology, but the ability to securely connect AI to the company’s critical data. There is now a solution to this.
The management team is excited about the AI strategy. IT has made a successful pilot. However, when transferred to production, the project gets stuck in the Death Valley of artificial intelligence: Is artificial intelligence allowed to read confidential contracts? How to ensure GDPR compliance?
Does this sound familiar? Probably.
“Many companies have great AI strategies in place, but that’s where the development usually stops. The potential is noticed in the experiments, but governance and data protection issues discourage the enthusiasm that has begun,” confirms Unikie’s Chief Business Officer Markus Jakobsson.
Lessons learned by customers
Unikie is a technology and innovation company that makes practical AI-based solutions for industrial companies. Unikie’s own experience with artificial intelligence has shown that AI should be put directly into practice instead of running small experiments, so that it can be iteratively improved and thus collect immediate best benefits for the business.
At the same time, Unikie’s AI specialists have observed that companies often face significant challenges when attempting to implement their AI strategies. This has encouraged Unikie to productize their own work and offer customers practical help for the smooth and safe implementation of artificial intelligence and bringing solutions directly to the companies’ own production environments.
The new Unikie AI Hub was born around this.
Experiments should be taken directly to a real production environment
Unikie AI Hub is a development platform with the biggest advantage of being quickly deployed in a genuine and secure infrastructure.
The platform is imported directly into the company’s own Azure cloud environment, so all related Azure internal management models, roles and privacy settings are automatically enabled.
According to Jakobsson, the most technologically critical thing is the ability to process the company’s own, fragmented data. That’s why Unikie AI Hub not only uses large language models but uses intelligent AI agents to connect them to in-house data – whether it’s project data, documentation, Jira tickets, or even image data such as building floor plans.
“The challenge with AI is its tendency to supplement missing information purely by reasoning. Unikie AI Hub mitigates hallucination risk and verifies claims by sourcing them from the company’s reliable data,” Jakobsson emphasizes.
Immediate business benefits in industry and sales
In complex systems, such as large production facilities and ships, the key bottleneck is often information: instructions, documentation, tickets, and measurement data live in different places and in different formats. AI Hub combines these into a single view and produces up-to-date guidance and impact assessments of changes quickly – so that content is anchored to the company’s trusted sources.
“The question of whether artificial intelligence can make mistakes is often raised. On the other hand, there is less talk about how many mistakes people make themselves and how much they could be reduced with the help of artificial intelligence,” Jakobsson points out.
AI Hub brings significant speed to sales.
It often takes weeks for the salesperson to find out the customer history for a large request for a quote. With the help of the AI Hub, he receives a data-based estimate of the call for tenders in five minutes. This quick analysis makes it easier to decide whether to participate in the tender process and speeds up the submission of the actual tender.
In industry, real-time monitoring and analytics can be added to predictive maintenance through the AI Hub, on which the language model builds an explanation and a proposal for action. In this way, deviation observations can be put into practice more quickly, which is reflected in cost savings and faster lead times.
Unikie Innovation Summit 2026 – insight and concrete actions
On January 28th, 2026 Unikie will organize an AI-themed customer event in Tampere, where we will delve into e.g. how pilots can be turned into real business value and how organizations can solve governance challenges in the age of artificial intelligence. The event is intended for anyone who is ready to move from AI experiments directly to production.
“There will be Unikie AI Hub’s demo stands and industry speakers to share their own experiences. It is definitely worth coming and hearing about the concrete steps that will be taken to sharpen competitiveness in 2026,” Jakobsson encourages.
Registration for the Unikie Innovation Summit is now open. Read more and join us.
Read more about Unikie AI Hub
