Optimize quality management with AI tools
Companies strive to provide high-quality products and services to ensure customer satisfaction and market competitiveness.
Quality management systems (KMS) play a crucial role in this regard.
With the rise of artificial intelligence (AI), new opportunities have emerged to improve these systems.
In this blog, we discuss how AI tools contribute to KMS.
The function of Quality Management Systems (KMS).
A KMS helps take an organization’s quality to the next level.
All knowledge and agreements are recorded in a readable and efficient manner, which helps to keep an overview and ensures that standards are correctly covered.
Risks are better mapped out, with the corresponding measures, and quality-related activities are recorded more clearly and easily.
By putting everything in one system, it becomes easier to prepare reports and make adjustments in the right places to meet objectives.
A KMS can consist of extensive applications or simply a system that neatly stores all documentation.
There are several applications available on the market that can support a KMS.
The needs and requirements of an organization must be carefully considered in order to determine which application fits best.
In recent years, our consultants have helped several companies realize a well-equipped KMS, where there is a difference in the required functionalities per industry.
What is similar, however, is the challenge of capturing data properly, easily and legibly and searching through all data quickly.
The added value of AI in data and documentation in KMS
AI in particular can help with these challenges.
Searching within large amounts of data is increasingly supported by AI.
Instead of searching for a specific topic, we move to a situation where a problem or question is presented to the search engine, which then comes back with the right answers and topics.
AI is making more and more progress in this.
As with other Large Language Models(LLM), AI in a KMS needs data.
However, this data must be of good quality to provide accurate answers.
Ensuring data quality within the KMS remains a major challenge for any organization.
Creating and modifying processes, procedures and work instructions, for example, requires time, knowledge and skills.
AI can support this by using Process Mining, which uses information to model the process correctly.
Errors and quality problems can be made visible, and it becomes possible to turn a story into a process.
For example, someone can simply tell their story, after which the system modulates the process.
Although these functionalities are still under development, their implementation in KMS systems is getting closer.
The Role of AI Assistants in KMS
The AI assistant already has a strong presence in KMS.
This assistant helps create content, recognize risks and take appropriate action.
Similar functionality can be seen in solutions such as Zenya and Fully in Control.
In addition to assisting with risk and content creation, AI also plays an important role in managing and organizing large amounts of information within the KMS.
Here, metadata emerges as a powerful tool.
Metadata is very useful for search and reporting, as it helps to find and categorize documents quickly and accurately.
AI can automatically extract relevant metadata from documents, such as date, author, document type and keywords, making for more efficient use of data.
Moreover, the use of metadata makes it possible to generate comprehensive reports and analysis without requiring manual input.
This automation can save a lot of time and improve data accuracy.
However, while AI-based metadata application offers tremendous benefits, this functionality is not yet available in all systems.
Maximize quality with AI
Quality is important, but how important is it now within an organization?
While AI can help an organization achieve strategic goals, it is important to look carefully at the cost and added value.
With the right approach and guidance, the benefits of AI within a KMS may well justify the investment.
Therefore, it is essential to properly identify what the specific needs are within the organization so that a KMS can be chosen that best meets them.
At Symbol, we know that every organization has unique quality management challenges.
Our consultants help choose and implement a KMS that fits the specific situation and allows the organization to excel.
Whether it’s process optimization, risk management or AI, we make sure no one is left behind.
Don’t get left behind, the right tools and guidance are at your fingertips.
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