Artificial intelligence is undoubtedly one of the greatest technological revolutions of our time, comparable to the impact of the internet and smartphones. Among its most immediate benefits is the exponential increase in productivity. Generative AI models, widely used in various sectors, are capable of creating answers, summaries and analyses based on large volumes of previously trained data. This drastically reduces research, decision-making and query resolution times.
\nHowever, in the corporate environment, especially in companies that use robust ERPs such as JD Edwards, a more specific need arises: accessing personalized answers based on the organization's internal data and contexts. It is in this scenario that the concept of RAG - Retrieval-Augmented Generation - comes to the fore.<\/p>\n
RAG allows generative AI models to be enriched by personalized knowledge bases, without the need for training. In other words, AI responds based on content defined by the company: internal policies, operational flows, technical manuals, exception procedures, etc.
\nWith this approach, a powerful application is born: knowledge agents.<\/p>\n
Knowledge agents are intelligent digital assistants, developed with generative AI and integrated with the company's strategic information collections. They act as facilitators in users' daily lives, offering contextualized and precise answers based on the internal content already available.<\/p>\n
Applied to the ERP, these agents become real operational guides:<\/p>\n
Over the years, companies using JD Edwards have accumulated a wealth of technical and operational documentation. However, this content is rarely accessible in a practical way. It's common to see users wasting time looking for information in folders, consulting colleagues or sending emails to support.<\/p>\n
With the application of generative AI + RAG, this reality changes. A knowledge agent trained with information from the ERP itself and internal documents can answer questions such as:<\/p>\n
The time savings are significant. What used to take minutes (or even hours) now
\nis resolved in seconds with autonomy, precision and traceability.<\/p>\n
What's more:<\/p>\n
Integrating generative AI, RAG and knowledge agents into ERP systems is not just a technical innovation... it's a strategic evolution. Companies that adopt these solutions not only gain in productivity, but create an environment where knowledge is alive, accessible and actionable.
\nThis integration represents the next step in the digital transformation journey of companies seeking greater agility, operational intelligence and excellence in the management of their processes.<\/p>","protected":false},"excerpt":{"rendered":"