Artificial Intelligence as the next step in industrial development
Artificial intelligence has, in a very short time, become one of the most significant areas of technological advancement. Discussions often focus on what AI can do today, but it is equally important to consider how it can be utilized in the future in a secure, reliable, and genuinely business-supporting way.
AI as a Tool for Industry
ALMA’s AI integration roadmap is moving steadily toward the future. Several important factors must be considered when discussing the integration of AI into a comprehensive enterprise system.
Artificial intelligence does not replace an ERP system; it complements it. ERP systems contain vast amounts of data from production, procurement, inventory, sales, and maintenance operations. AI can rapidly analyze this information and generate valuable insights that support both operational efficiency and decision-making. New technologies and interfaces make this continuity possible.
At ALMA, we believe that leveraging AI will help companies operate more efficiently, profitably, and competitively in a rapidly changing business environment.
As with any new technology, AI adoption is approached with caution. Therefore, we are committed to ensuring that AI integration into our systems is carried out with a strong focus on information security, customer benefits, and practical user needs.
AI Is Reshaping the Way Industries Work
The direction of technological development is clear: AI is not remaining a separate tool. Instead, it is becoming a natural part of companies’ daily systems and processes. Rather than requiring users to switch between separate AI services, AI is increasingly being integrated directly into the systems where work is performed and data is generated.
In industrial environments, this means that ERP systems, maintenance management systems, and production control solutions will increasingly utilize AI to support decision-making. AI does not replace existing systems; it helps transform the information they contain into actionable intelligence.
More Than a Conversational Assistant
Artificial intelligence is not limited to chat-based assistants. It encompasses a broad range of technologies, including forecasting, recognition, information retrieval, analysis, and content generation.
In the future, AI will increasingly focus on predictive capabilities. As companies accumulate years of data from production, maintenance, procurement, and supply chains, AI can help identify patterns, uncover relationships, and mitigate risks. Simply put, AI represents an additional layer of intelligence within maintenance and business systems, supporting enterprise operations as a whole.
AI enables:
- Predictive maintenance planning
- Identification of production disruptions before they occur
- More efficient utilization of resources
- Faster decision-making
- More accurate information retrieval
Practical Benefits for Industrial Operations
Our AI pilots have already demonstrated several proven benefits, particularly in information retrieval. Large, long-life industrial facilities containing extensive technical documentation benefit especially from AI-powered search capabilities.
End users gain access to intelligent tools that can be configured according to their individual roles and needs. AI-enhanced system searches are both flexible and highly accurate, enabling users to locate precise information within the system as quickly as possible.
One of AI’s most significant advantages in industry is its predictive capability. Traditionally, production planning relies on historical data, process mapping, and human experience. AI can rapidly identify relationships within data and predict maintenance requirements and future operational needs.
Maintenance technicians and engineers may sometimes need support when evaluating wiring diagrams or technical plans. AI can assist by accelerating the review process and helping users understand the overall operational logic of a system, complementing guidance provided by colleagues and experts.
The benefits of AI agents are particularly evident during ideation, in creating first drafts and preliminary analyses, and when unexpected situations occur while subject matter experts are unavailable.
“Artificial intelligence will help people consider critical factors at the right moment. Our goal is to apply these tools in ways that support human decision-making.”
Juha Nissilä, CEO
The benefits of integrating AI into enterprise management extend beyond accelerating daily processes. AI also enables tools that support organizations operating in busy and rapidly changing environments.
Industrial maintenance involves numerous stakeholders, and the efficient flow of information between them is essential.
As with every major technological shift throughout our 40-year history, we have closely monitored and evaluated AI developments, considering both the challenges that integration introduces and the best ways to address them.
Different customers may have different:
- Information security requirements
- Data confidentiality levels
- Operational needs
- Approval processes
- Cost models
In addition, various assessments may be required before introducing AI services into environments with strict compliance or regulatory requirements.
AI cannot simply be deployed as-is. Each implementation must be evaluated individually, taking into account the intended use case and the data involved.
Security and Governance
As AI becomes more widespread, increasing attention is being directed toward information security, user permissions, and data governance.
Organizations are understandably reluctant to expose critical production or business information to open systems without strict control mechanisms.
For this reason, the next phase of AI development is based on targeted and purpose-driven use cases. Instead of relying on a single general-purpose AI system to solve every problem slowly and without sufficient security controls, companies are adopting carefully defined AI solutions designed for specific tasks.
As is typical at ALMA, we develop our products in close collaboration with our customers. We see each customer as an individual operating environment with its own unique requirements.
"The most successful implementations are built on transparent collaboration, high-quality data, clear access controls, and precisely defined operating models."
People Remain at the Center
Although AI capabilities continue to advance rapidly, the role of human experts is not diminishing. In fact, their expertise becomes even more valuable in factory environments where information moves quickly and decisions must be made efficiently.
The greatest value of AI is realized when it frees people from routine tasks and time-consuming information searches. This allows specialists to focus on areas where human expertise remains irreplaceable: decision-making, problem-solving, and continuous improvement.
Image source: Adobe Stock
Text and images: Jennifer Kuikka
AI enables:
- Predictive maintenance planning
- Identification of production disruptions before they occur
- More efficient utilization of resources
- Faster decision-making
- More accurate information retrieval