We engineer bespoke Ai customizations for Odoo (v14–v18). From building custom Ai-powered modules for Sales, Inventory, and Accounting to integrating ChatGPT, Claude, or private local LLMs directly inside your Odoo backend.
Not on Odoo yet? Start with our Odoo implementation services.
We build native Python modules that add intelligent automated features directly inside your existing Odoo business processes.
We connect Odoo to the optimal Ai brain for your workflow — cloud APIs or 100% private local GPU servers.
Natural language querying & automated drafting.
Dense multi-page financial PDF & contract analysis.
100% on-premise GPU hosting. Zero data leakage.
Multimodal visual inspection of items & damage.
Dictate voice notes directly into Odoo Chatter.
Select an invoice sample below to watch our custom module extract data and post verified records inside Odoo.
Auto-matched to PO-00412. Posted draft bill in account.move.
Why building tailored Ai modules inside your Odoo outperforms third-party recurring subscription plugins.
Zero recurring monthly per-user SaaS fees. You own the custom Python & OWL module code deployed directly in your Odoo instance.
Our custom modules strictly inherit your Odoo access control lists (`ir.model.access`) and record rules (`ir.rule`).
Built using Odoo extension patterns, with compatibility review and testing needed when Odoo or connected AI services change.
A useful automation starts with a specific task, clear acceptance criteria, and a safe path into daily operations. We scope the workflow before choosing the model or building the module.
We map the current process, the records involved, and the point where an employee makes a decision. Together we agree how to evaluate the result, such as extraction accuracy, review effort, or time per transaction.
Step 1 of 4A focused prototype tests the approach on approved examples, including incomplete inputs and common exceptions. This helps establish whether AI is suitable and which steps are better handled by ordinary validation rules.
Step 2 of 4We connect the workflow to the relevant Odoo records and define what the automation may read, draft, or change. Actions with operational impact can require human approval, with validation and exception handling built into the agreed scope.
Step 3 of 4A limited pilot lets users review outputs before a wider rollout. We compare results against the agreed criteria, address failure cases, and document deployment, rollback, and ongoing ownership before production use.
Ready for the next chapterOwning a custom module does not remove the cost of running it. The solution design should explain the recurring dependencies, what data is processed, and who is responsible when the workflow needs attention.
Cloud models may charge for requests, tokens, documents, or other usage. Private deployments require compute and administration. We scope these dependencies alongside module development so you can compare options against expected transaction volume.
We identify the fields needed for the task and whether they leave your environment. Provider settings, retention requirements, and deployment choices should be reviewed against your business requirements before production data is used.
AI outputs can be incomplete or incorrect. The workflow should validate required fields, flag uncertain results, and route exceptions to a person. Financial or other sensitive actions can remain in draft until an authorized user approves them.
Model behavior, provider APIs, and Odoo modules can change over time. The maintenance scope should include appropriate logging, checks against representative examples, and compatibility testing when a dependency or Odoo version changes.
Details that help you take the next step with confidence.
We first review the workflow, input quality, integration points, and acceptance criteria. A focused prototype helps expose dependencies before we estimate the pilot and production rollout. The timeline depends on complexity and access to representative examples.
Yes. We can design the workflow to prepare draft records and route them to authorized users for review. Required-field validation, exception queues, and approval steps are agreed according to the risk and business rules of the process.
Yes. We develop bespoke Odoo modules (Python backend + OWL frontend) engineered around your exact operational rules, custom fields, and workflows in Odoo Community or Enterprise.
Yes. For banks and privacy-conscious enterprises, we deploy self-hosted open-source LLMs on your dedicated local GPU servers. Zero data is ever sent to public cloud Ai providers.
We develop and integrate Ai customizations across Odoo versions 14, 15, 16, 17, and 18 on Odoo.sh, On-Premise Linux servers, AWS/GCP, and both Community & Enterprise.
We use Odoo extension patterns to make upgrades easier to maintain. Custom modules and connected AI services still need compatibility review and testing when you change Odoo versions; any required adaptation is scoped as part of the upgrade.
You own the custom module code under the agreed project terms. Cloud AI usage, hosting, third-party licenses, and ongoing maintenance may still create recurring costs, which should be scoped separately from development.
Tell us what repetitive workflow you want to automate. We will scope, prototype, and build the custom Odoo Ai module for your business.