Odoo AI

AI agents and fields inside Odoo 19 that draft, summarize, sort and answer in Arabic and English, with a person reviewing before anything posts.

AI
Capabilities

What this module handles

Support and sales teams in Saudi companies already use ChatGPT in a separate tab, pasting customer names, order numbers and Arabic complaints into a public tool with no record of what left the company. Odoo 19 adds AI across the apps rather than as a separate chatbot: agents are configured with instructions and sources, and AI fields and server actions apply the same models to records, which is why Naqlah, an Odoo Gold Partner in Saudi Arabia, scopes it carefully after an Odoo 19 upgrade.

  • AI agents with custom instructions and sources such as Knowledge articles and uploaded documents
  • AI fields that propose values from the record context, shown for review before saving
  • Drafts and summaries in the chatter, email templates and Helpdesk tickets in the record's language
  • AI live chat answering website visitors from your configured sources with handover to a person
  • Document sort in Documents that classifies incoming vendor bills, delivery notes and contracts
  • Voice transcription of calls and notes into text on the record
  • AI server actions triggered by automation rules on create, update or schedule
  • API keys and default prompts managed centrally by the administrator
Saudi ready

Built for how business runs in Saudi Arabia

Agents read and write Arabic and English based on the language of the record, so an Arabic complaint on a Helpdesk ticket gets an Arabic draft and a green coffee importer in Europe gets an English one. Naqlah scopes which teams, models, fields and sources each assistant can see, excludes sensitive fields such as iqama numbers and health data, and sets human review on every output so nothing posts without a person approving it. Because sending record content to an AI provider is a processing activity under the Personal Data Protection Law, and a cross border transfer where the provider sits outside the Kingdom, we document the data flow, update consent notices where needed and check sector rules for regulated clients before rollout, usually as part of an Odoo 19 upgrade.

Scoped access
Agents are limited to the chosen models and sources, and sensitive fields are excluded by configuration. A support agent sees tickets and the returns policy, not payroll.

Human in the loop
Drafts and proposed field values are reviewed before saving or sending. Nothing posts on its own unless you deliberately configure an automation to do so.

PDPL assessment
Data flows to the AI provider are documented, with Dammam hosting covering the database and the inference path assessed separately. Consent and privacy notices are updated where required.

How it connects

How does an AI agent in Odoo answer a customer support question in Arabic?

1. Question arrives
A customer asks about a return in Arabic through website live chat or a Helpdesk ticket linked to their Salla order.

2. Sources searched
The agent searches the Knowledge articles you configured as sources, such as the returns policy and courier escalation steps.

3. Draft reviewed
A draft reply in Arabic is shown to the support agent, who edits, approves or discards it.

4. Reply logged
The approved reply is sent and logged on the ticket, and an AI field proposes the ticket reason for reporting.

Implementation

What Naqlah configures in your implementation

  1. Confirm Odoo 19 Enterprise and AI availability. We check your edition, hosting and the AI features enabled for your database before any design work.
  2. Configure keys and default prompts. API keys, default prompts and tone guidelines in Arabic and English are set centrally by the administrator.
  3. Build agents with sources. Each agent gets instructions and a scoped set of Knowledge articles, documents and models it may read.
  4. Define AI fields. Fields such as ticket reason, lead qualification summary or document type are added to CRM, Helpdesk and Documents.
  5. Set review and posting rules. Every output is routed through a person, with any automation that posts on its own agreed explicitly.
  6. Document the data flow and train users. The PDPL data flow record is written, notices updated and teams trained, with customization for server actions where needed.

Timelines depend on scope, and Naqlah gives you a clear roadmap in the first consultation.

Who it is for

Companies that get the most from this module

  • eCommerce support teams. Arabic live chat and ticket drafts from the returns policy and Salla order data, with ticket reason classification.
  • B2B sales teams. Bilingual supplier and customer emails drafted on the lead, English for importers and Arabic for local vendors.
  • Finance teams. Document sort for incoming vendor bills, delivery notes and contracts in the Documents inbox.
  • HR and recruitment. Application summaries and interview notes transcribed on the candidate record.
  • Companies upgrading to Odoo 19. AI switched on where the writing load is heaviest as part of the upgrade plan.
Before and after

ChatGPT in a separate tab vs Odoo AI

AreaBeforeWith Odoo via Naqlah
DraftingChatGPT tab and copy pasteDraft generated on the record in its language
SummariesRead the whole threadOne click summary of the chatter or ticket
ClassificationManual tags when someone remembersAI field proposals reviewed and saved
Website chatScripted bot with fixed answersAgent answering from your Knowledge articles
Data handlingCustomer data pasted into public toolsScoped sources and a documented data flow
ReviewNoneA person approves before anything posts
FAQ

Module questions, answered

Everything else, we cover in a free 30-minute consultation.

What AI features are in Odoo 19?
Will Odoo AI make changes on its own?
Which Odoo modules use AI?
Does Odoo AI work in Arabic?
Where does our data go and is Odoo AI compliant with PDPL?
Does Odoo AI need Odoo 19 Enterprise?
Related

Modules that work well together

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