Odoo AI 2025 : AI Integrated into the RAG
At Odoo Experience 2025, Odoo unveiled a major step forward in integrating artificial intelligence with its customizable AI agents based on the RAG (Retrieval-Augmented Generation) paradigm. This technology promises to transform customer relations, support, and internal productivity by making AI accessible, modular, and directly embedded into the Odoo ecosystem.
The introduction of AI agents clearly shows that artificial intelligence is no longer just a gadget, it is a real operational lever for businesses.
L’introduction des agents IA montre clairement que l’intelligence artificielle n’est plus un simple gadget, mais un véritable levier opérationnel pour les entreprises.
Understanding RAG: Reliability and Contextualization
RAG combines the capabilities of generative AI with intelligent access to internal and external data sources. Unlike a classical AI limited to its initial training, a RAG agent can search, exploit, and synthesize up-to-date business information such as internal documents, FAQs, contracts, or knowledge articles. This approach greatly reduces the risk of “hallucination” and enables the provision of reliable, contextualized responses. It is precisely this ability of AI to rely on business sources that makes the creation of specialized agents and automated lead generation possible.
Creating and Configuring Your AI Agents
Odoo’s AI Agents module allows the creation of intelligent agents tailored to each business need. Each agent can be configured according to the AI model used, the desired style of response, and the information sources it can access. The “topics” define the actions the agent can perform during an interaction — for example, automatically creating a CRM record or drafting and sending an email. At the conference, a concrete example was presented: a live chat agent aimed at website visitors, trained on the technical data sheet of a solar panel, the corresponding Wikipedia page, and knowledge articles. This combination shows how RAG and agent customization complement each other to provide precise and contextualized responses to web users.
Automated and Intelligent Lead Generation
This ability to exploit business sources directly feeds lead generation. When a visitor asks a question on the website, the AI consults indexed documents and provides a substantiated answer. If the answer is uncertain, it can automatically create a CRM opportunity while respecting GDPR. This feature perfectly links information consultation and the sales process, turning customer interaction into an intelligent and productive flow.
Specialized Agents: Security and Business Expertise
The use of business sources is also at the heart of creating specialized agents restricted to sensitive content such as contracts, general conditions, or warranties. This specialization ensures precise answers for legal or technical cases and reduces the risk of errors. For example, a salesperson could query an agent about warranty clauses of a product and receive an exact answer referencing the source document, with no risk of misinterpretation. The synergy between specialized agents and lead generation ensures commercial support that is both safe and intelligent.
Cross-Functional Applications: AI at the Heart of the ERP
Odoo AI is not limited to customer support. It integrates directly into the ERP to facilitate data access and decision-making. Users can query the ERP in natural language to obtain information about employees, generate sales charts, or create pivot tables on invoicing and product tracking. This integration illustrates the continuity between support automation, lead generation, and internal data exploitation. The same RAG mechanisms and source customization ensure reliability and relevance of information, while making its exploitation accessible to all.
Architecture and Modularity of Agents
Creating an agent relies on a modular structure. Prompts define the behavior and tone of the agent, documentary sources are added to ensure reliability, and topics allow for the configuration of automated actions. It is recommended to split large documents to optimize indexing and the relevance of responses. This modularity is the key that links agent customization, specialization, and their ability to generate leads or interact with the ERP.
Benefits for Businesses
Odoo’s AI agents offer numerous advantages. Their creation requires no coding, making them accessible to business users. The automation of support and lead pre-qualification provides significant time savings, while the reduction of hallucinations through business sources ensures the reliability of answers. Additionally, Odoo AI works both in SaaS and on-premise deployments, with the possibility of using custom keys and APIs for maximum flexibility. All these features show that AI is now a strategic lever, transversal to all internal and commercial processes.
Conclusion: Operational AI Serving the Business
Odoo AI demonstrates that artificial intelligence is a tangible tool for improving customer relations, optimizing support, and boosting internal productivity. Thanks to RAG and agent modularity, every company can create its own AI assistants, perfectly integrated into workflows and business documentation. This continuity between data consultation, customer interaction, and internal decision-making transforms the ERP into a true intelligent assistant, capable of understanding and acting in a business context.
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Learn more about the author of the article:
Axel Debève
Business Analyst
Business Analyst at Nalios France since May 2024. Always attentive and solution-oriented, Axel supports businesses in understanding and optimizing their needs through Odoo. Pragmatic and attentive, he takes pride in analyzing business processes to provide clear and tailored solutions. His mission: to turn clients’ challenges into concrete and effective everyday solutions.
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