Introduction

Businesses are investing billions of dollars in AI agents and infrastructure to transform business processes, but seeing limited success in real-world applications, often due to the inability of agents to truly understand business data, policies, and processes.

Ontology as a Barrier

Ontology is a business definition of concepts, their hierarchy, and relationships. Its implementation can help AI agents understand business data in context and find the right relationship with other data.

Practical Implications

The implementation of an ontology can have significant practical implications, such as imposing guardrails on AI agents to prevent them from making mistakes. Additionally, ontology can help standardize business processes and improve data quality.

Conclusion

In conclusion, ontology is a key technology to prevent AI agents from making mistakes. Its implementation can have significant practical implications and improve data quality and business processes.