Odoo and AI now form a particularly interesting combination for SME leaders looking to automate their processes, better leverage their data, and save time for their teams. With Odoo v19, artificial intelligence is gradually integrating into the heart of the ERP through AI agents, automation, natural language interactions, and new possibilities for connecting to company data.
For an SME in Bordeaux or Gironde, the challenge is not simply to add artificial intelligence because the technology is available.
The real question is much more concrete:
How to use AI to solve a real business problem?
A salesperson wasting time searching for information. A customer service team answering the same questions every week. A leader lacking visibility into their operations. Employees still spending several hours manually processing, sorting, or transferring data.
It is in these situations that the association between Odoo and artificial intelligence can add value.
The goal is therefore not to replace teams, but to provide them with a smarter work environment, capable of better leveraging the information already present in the company.
Odoo and AI: what really changes with Odoo v19?
For a long time, ERP and artificial intelligence have evolved separately.
On one side, the ERP centralized the company's data: customers, quotes, orders, inventory, purchases, invoices, or projects.
On the other side, AI tools were mainly used to write content, summarize text, or answer general questions.
With Odoo v19, these two worlds are coming closer.
Artificial intelligence can now be integrated into a business environment and work from a defined context. The AI agents can receive instructions, leverage information sources, and use tools as needed.
For a manager, this evolution changes the way to view the ERP.
Odoo is no longer just a database where employees have to search for information. The goal is gradually to allow users to interact more naturally with their information system.
Instead of navigating through multiple menus, a user can make a request.
Instead of searching for a procedure in different documents, they can query a specialized agent.
Instead of manually executing certain repetitive tasks, AI can intervene in a properly defined automation process.
Technology then becomes interesting when it disappears behind a simple business benefit: finding faster, deciding more easily, and reducing non-value-added tasks.
1. Facilitate access to company information with AI agents
In many SMEs, the problem is not the lack of data.
It is often the opposite.
The information exists, but it is spread across the CRM, sales, documents, emails, projects, or different tools.
An employee can therefore spend several minutes trying to find information that is already available.
Odoo's AI agents open up a new approach.
An agent can be configured to meet a specific need, with instructions and sources tailored to its role.
A use case for a sales team
Imagine a salesperson who wants to prepare for their week.
Rather than manually going through their pipeline, activities, and various client files, the goal could be to facilitate access to relevant information for their work.
They could seek to identify:
- the opportunities to follow up on;
- the files requiring action;
- the useful information before a meeting;
- the next steps in a sales process.
The benefit is not to "do AI."
The benefit is to allow the salesperson to spend more time with their clients.
For an SME in Bordeaux or Gironde that is developing its business activity, this type of use can become particularly relevant as the volume of prospects increases.
2. Create specialized assistants according to the professions of your SME
A common mistake is wanting to create an artificial intelligence capable of doing everything.
In a company, this approach is rarely the most effective.
A sales agent does not have the same needs as a customer service agent or an internal support agent.
The evolution from "Topics" to the "Skills", or competencies, illustrates this logic: the behavior of an agent can be organized around specific capabilities and contexts.
A small business can thus consider multiple assistants.
A sales agent
Its role can be to help teams access information related to prospects and opportunities more easily.
A support agent
It can help address recurring questions and direct complex requests to a colleague.
An internal agent
It can facilitate access to procedures, documents, or information useful to the teams.
This specialization allows for starting from a specific business need.
The right question is therefore not:
"How do we implement AI in our company?"
But rather:
"What repetitive task or daily difficulty do we want to improve?"
3. Improve customer relations through AI and Live Chat
For a company, response speed has become a real business challenge.
A prospect visiting a website may have a question about a product, a service, or a function. If no answer is available, they may simply leave the site.
The integration of AI agents into Live Chat Odoo opens up interesting possibilities for managing some of these interactions.
The goal is not necessarily to automate all conversations.
A more effective approach is to use AI to :
- handle certain simple requests ;
- gather information ;
- guide a visitor ;
- qualify a request ;
- pass the conversation to a colleague when necessary.
Enriched preview cards also allow for making certain interactions more visual and directly actionable.
For a small business with a website connected to its Odoo environment, the journey can thus become smoother :
Visitor → Question → Qualification → Contact → Business Opportunity
The benefit of an integrated ERP is clearly evident here: digital interactions do not remain isolated from the rest of the company.
4. Connect AI to business data and tools
A general-purpose artificial intelligence does not naturally know your business.
It does not know your processes, your customers, or your internal rules.
To be truly useful, it must be able to work with relevant context and controlled access.
Developments around the Model Context Protocol (MCP) respond to this issue of connection between artificial intelligence, data, and tools.
For a small business, the potential is significant.
The company rarely uses a single system. It may have Odoo, an e-commerce site, business tools, internal documentation, or specialized solutions.
The challenge is therefore to avoid creating a new technological "island."
AI gains more value when it can be integrated into a coherent information system.
This is also why the quality of integration remains essential. Connecting tools without considering data flows can simply shift the problems.
5. Reduce repetitive tasks through intelligent automation
One of the most concrete applications of AI concerns automation.
In a small business, many tasks are still performed manually:
- analyzing a request;
- searching for information;
- classifying an item;
- guiding an action;
- preparing a response;
- identifying the next step in a process.
Odoo allows for the association of AI with action mechanisms and business tools.
But this possibility must be used methodically.
AI can participate in decision-making or in interpreting a context. Business rules, controls, and rights must, however, remain properly defined.
For a leader, the objective must be measurable.
For example:
| Business problem | Potential use of Odoo and AI | Desired benefit |
|---|---|---|
| Hard-to-find information | Specialized AI agent | Reduce search time |
| Repetitive customer questions | Agent in Live Chat | Improve responsiveness |
| Complex business process | Contextual assistance | Better track opportunities |
| Scattered documentation | Conversational access to sources | Facilitate team work |
| Repetitive tasks | AI-assisted automation | Save time |
| Mobile users | Voice interaction | Simplify access to the tool |
AI should therefore be considered as a lever for process improvement, and not as an end goal.
6. Simplify the use of Odoo through natural language and voice
One of the most interesting developments concerns how users interact with their ERP.
Historically, using management software required learning its interface.
You had to know the menus, filters, and navigation logic.
Conversational AI is gradually changing this relationship.
With natural language interaction and the ability to dictate requests to an AI agent, access to certain features can become more intuitive.
This evolution can be particularly interesting for :
- salespeople on the go ;
- the activity managers ;
- the field teams ;
- the technicians ;
- the collaborators primarily using a smartphone.
The ERP is gradually becoming less dependent on traditional navigation.
However, voice or natural language do not replace a good configuration. They represent a new interface to a system that must remain properly structured.
7. Transforming AI into a business advantage, not a technological gadget
This is probably the most important point for a small business leader.
The arrival of new artificial intelligence features may make you want to activate everything immediately.
This is not necessarily the best strategy.
Before launching a project, it is better to answer four questions :
- What problem do we want to solve ?
- How much time does this problem waste today ?
- What data is needed ?
- How will we measure the result ?
Let's take an example.
A company receives many similar requests each week.
The right project is not :
"We want an AI agent."
The right project is :
"We want to reduce the time spent processing repetitive requests while maintaining human intervention on complex situations."
The need becomes clear.
The technological solution can then be designed around this objective.
Why get support on an Odoo and AI project in Bordeaux?
Artificial intelligence does not automatically correct a poorly organized information system.
If the data is incomplete, the processes inconsistent, or the access rights poorly defined, adding an AI layer will not solve the problem.
A successful project therefore begins with the analysis of existing processes.
For companies located in Bordeaux and Gironde, working with an integrator who can understand the business challenges allows for approaching the project in the right order:
Business need → Process → Data → Odoo → Automation → AI
At Nuprod, we support SMEs in the integration, customization, and evolution of their Odoo environment.
Our approach is to identify the uses that can truly add value to the teams, rather than adding technology without operational objectives.
Are you an SME in Bordeaux or Gironde looking to identify relevant uses of Odoo and AI for your business?
Book a free ERP audit with a Nuprod expert to analyze your processes and identify high-value automation opportunities.
FAQ on Odoo and artificial intelligence
Does Odoo v19 really integrate artificial intelligence?
Yes. Odoo v19 develops an environment dedicated to AI uses, particularly around agents, tools, conversational assistance, and automation. However, the available features may depend on the version and configuration of your environment.
What are the best uses of AI in Odoo for a SME?
The most interesting uses are generally those that address a specific problem: finding information more quickly, handling repetitive requests, assisting sales teams, or simplifying certain processes.
Can AI be used with Odoo CRM?
Yes. AI can particularly open up possibilities around sales assistance, access to information, and automating certain tasks. However, the use case must be defined according to the company's business process.
Can AI completely automate the processes of a SME?
Complete automation is not always desirable. The best projects combine automation, business rules, controls, and human intervention when the situation requires it.
Are Odoo and AI suitable for SMEs in Bordeaux and Gironde?
Yes, provided that it starts from the actual needs of the company. A SME can begin with a targeted use case, measure the results, and then gradually expand its use of AI.
Why call on an Odoo integrator in Bordeaux for an AI project?
An AI project in an ERP requires understanding the processes, data, access rights, and business objectives. Local support can facilitate workshops, configuration, deployment, and adoption by the teams.
Conclusion: Odoo and AI, a new step for the digitalization of SMEs
The association between Odoo and AI marks an important evolution of the ERP.
Smart agents, automation, data connectivity, enriched Live Chat, and voice interaction open new possibilities for businesses.
But for a small business leader, technology should never be the starting point.
The real challenge is to identify the tasks that slow down the business, the information that is difficult to exploit, and the processes that could be simplified.
In Bordeaux, as everywhere in Gironde, the small businesses that will make the best use of artificial intelligence will probably not be the ones that use the most tools.
It will be those that have managed to connect their data, their processes, and their teams around truly useful use cases.
Do you want to know how Odoo v19 and artificial intelligence can integrate into your business?
Talk to a Nuprod expert and let's identify together the business solutions and automations suitable for your organization.