AI can help you find and compare alternatives to hazardous chemicals. Specialists still need to check the source data and assess whether an alternative suits the work activity. This guide explains where AI can support substitution and what your team needs to assess.
Today’s challenges with substitution
Finding safer alternatives to existing chemicals is rarely straightforward. Companies often have to consider:
- Hazard classification and health effects
- Technical performance and function
- Regulations and regulatory requirements
- Availability in the supply chain
Traditionally, this has been done manually, by comparing safety data sheets (SDS), regulations, and internal experiences. The result can be lengthy processes, divergent assessments, and an increased risk of errors. This, in turn, can delay the introduction of safer chemicals and make it more difficult to meet HSE and sustainability requirements.
AI support in substitution
Artificial intelligence makes it possible to work more systematically and data-driven with chemical substitution. Instead of relying on manual searches and individual assessments, AI can analyse large amounts of chemical data in a short time and provide structured suggestions for alternatives. This can contribute to a better overview, more consistent assessments, and faster decision-making processes.
Although AI can provide valuable analyses and recommendations, the results must always be evaluated by qualified professionals. AI is a decision support tool and not a substitute for chemical, HSE, or regulatory expertise.
Faster identification of safer alternatives
With the help of AI, companies can quickly analyse large amounts of SDS data and other chemical information. The system can suggest substances or products with lower hazard levels, similar functionality, and better regulatory status.
This is particularly useful when regulations change or when there is a need for rapid transition to safer solutions.
Support for hazard and risk assessment
AI can help interpret complex data and present hazard information and risk factors in a more standardised way, as a starting point for specialists. This can reduce differences in assessments between departments and projects.
In addition, AI can reveal incomplete or outdated information, enabling the business to identify where updates or professional reviews are needed.
Better control of regulations – nationally and internationally
Many companies operate in several countries or have to comply with both local and international requirements. AI can help pick up regulatory changes and flag chemicals and proposed alternatives that should be checked against current requirements.
This can reduce the risk of overlooking changes and supports a more proactive approach to chemical management.
Support for sustainability and ESG work
AI can also be used to compare environmental properties such as degradability, ecotoxicity, emissions, and life cycle impact. This provides a better basis for decision-making for companies that work systematically with sustainability, environmental reporting, and ESG requirements.
Artificial intelligence can make the work of chemical substitution simpler and more systematic. For companies that want to reduce risk, improve the working environment, and be better equipped for future requirements, AI-based solutions can be an important step forward. When used correctly, with specialists making the final assessment, artificial intelligence can contribute to safer chemical use and more sustainable choices – across industries and national borders.