Five proven AI use cases transforming business operations in the Nordics

From PoCs to impact: AI solutions that drive real business value

Many of our customers struggle with understanding what AI’s opportunities really mean for them. Instead of falling for the temptation to dive into cutting-edge AI agents right away, many first return to the basics - assessing the state of their data readiness for AI usage. After all, AI is only as valuable as the data it relies on.

With rapid advancements in data and AI technologies, companies face tough decisions: when it's absolutely a must to reshape their architecture, when to invest in AI competencies, and when to rethink their ways of working; e.g. business and IT having an even tighter collaboration. 

There is growing recognition among companies that significant investments, especially in AI infrastructure, data practices, and compute capacity, are essential for scaling AI initiatives effectively. Moreover, AI adoption doesn't just happen magically in an organization. It's a major shift in ways of working and how people interact with technology. Essentially, AI needs change management in order to be successfully adopted. Organizations need to not only invest in technology but also in continuous competence development and adoption programs to build trust among employees. 

But one common challenge stands out right now nonetheless: too many AI proof-of-concept (PoC) experiments exist, yet we often see no no real impact or clear path forward.

At Recordly, we focus on AI projects that drive measurable business value. Our solutions don’t just stay in the testing phase; they enhance core processes, go into production, and create lasting change for our clients. 

So, what are the AI use cases that are actually delivering real results for Nordic businesses? Here are five AI-driven solutions making a real impact.

1. Enhancing document discoverability and summarization with AI

How Bromma’s service engineers quickly find the right instructions and needed details for servicing

Bromma, a global leader in crane spreader manufacturing, faced challenges with its quality service report logging system. Critical service details were scattered across unstructured data fields, making it difficult for engineers to retrieve relevant information. Searching through past reports required manual effort and prior knowledge of the system’s structure.

We developed a retrieval-augmented generation (RAG) AI agent that acts as an intelligent assistant for engineers. Through a user-friendly interface, service engineers can now ask the AI questions in natural language. The AI agent retrieves and summarizes relevant past cases, providing step-by-step diagnostic instructions and on-site testing procedures.

Key benefits

• Faster issue resolution times
• Improved knowledge sharing across global teams
• Scalable, future-proof solution
• Reduced dependency on manual searches

Customer insight:
“Before, finding past cases felt like searching for a needle in a haystack. Now, I can just ask the AI agent, and it retrieves the most relevant cases instantly. It’s like having an experienced colleague available 24/7.” 

– Harry Balman, Technical Support Engineer, Bromma

Read more about Bromma.

2. AI-powered virtual assistant for customer service

Improving customer satisfaction with an AI-powered virtual assistant in the Telco industry

A leading Nordic telecom operator struggled with long resolution times for customer inquiries. Support agents had to manually search through thousands of how-to articles, documents, and contracts, leading to inefficiencies and poor customer experience.

Instead of replacing human agents, we enhanced their capabilities with an AI-powered virtual assistant. By integrating a retrieval-augmented generation (RAG) model with the company's own data, we optimized search functionalities and made information retrieval seamless. The AI assistant now provides support agents with instant, contextually relevant answers, reducing resolution time.

Key benefits

• Faster and more accurate customer support
• Increased issue resolution rates
• Improved customer satisfaction and sales conversion

Reference? Sometimes, solutions are so powerful that our clients want to keep them a secret.

3. AI-driven forecasting for resource planning

Predicting orders more accurately with machine learning for smarter resource planning

A food manufacturer relied on manual Excel-based predictions to estimate order volumes. This approach lacked precision, speed and scalability, resulting in inefficiencies in workforce planning.

We implemented a machine learning (ML) model that predicts order volumes based on historical data. The framework combined time-series forecasting with regression analysis to understand product-specific trends. A user-friendly interface enabled business users to access forecasts, make data-driven decisions, and continuously improve predictive accuracy. As a side benefit, our client gained an AI-ready automated production environment and a foundation for further development and personalized forecasting models.

Key benefits

• The new solution runs much faster; we improved the speed from 24-36 hours to 2-10 hours
• More accurate order volume predictions, improving resource planning
• Scalable solution adaptable to seasonal changes
• Automation-ready framework, reducing manual effort

Reference? Sometimes, solutions are so effective that our clients want to keep them a secret.

4. AI-driven personalization in digital marketing

Enhancing and unifying our client’s personalization capabilities 

A major Nordic telco company had decentralized and underutilized personalization capabilities, limiting their ability to deliver real-time recommendations and tailored marketing efforts across different channels.

We developed a centralized personalization target architecture that enables real-time recommendations, scalability, and experimenting and A/B testing environments for optimization. 

Key benefits

• Unified, scalable personalization across marketing channels
• Increased customer engagement through real-time recommendations
• A structured environment for testing and continuous improvement

Reference? Sometimes, solutions are so productive that our clients want to keep them a secret.

5. Automating demand forecasting 

Speeding up day-to-day operations

Verkkokauppa.com, one of Finland’s largest e-commerce vendors, previously relied on a manual stock forecasting process, which was time-consuming and inefficient. Their existing machine learning solution for stock prediction needed modernization.

We developed a modernized MLOps platform that transferred their existing solution to the Google Cloud Platform. This upgrade improved scalability, provided a structured framework for future ML solutions, and significantly reduced the time required for demand forecasting.

Key benefits

• The new forecasting process takes significantly less time to run
• Standardized framework to support new ML solutions
• More customer-friendly and sustainable operations

Read more about our work with Verkkokauppa com here.

start with Building a strong AI ecosystem

Truly realizing AI’s full potential requires companies to look at - besides learning initiatives and ways of working - investments in infrastructure and architecture. 

We help organizations build comprehensive AI ecosystems that include:

• Scalable AI infrastructure that evolves alongside business needs
• Agile solutions that align with business goals while meeting IT reliability standards
• Human-centric AI applications that enhance productivity and decision-making.

Why choose Recordly?

At Recordly, we are more than just data experts. Our team of 50 senior consultants specializes in turning AI and data solutions into tangible business outcomes. We deliver scalable, strategic AI solutions that enhance decision-making, improve productivity, and provide a competitive edge.

• Recordly is a trusted AI partner endorsed by AI Finland
• We make real impact, not just experiments: proven AI success stories with measurable results are our thing 
• Scalable AI transformation: We help businesses move from AI POCs to full-scale. Our mission is to define how people and data collaborate, meaning business and IT work together.

Want to take your AI initiatives from experimentation to real impact? 

Let's talk. You can reach me on katriina.kiviluoto@recordlydata.com, or on LinkedIn.