Teams running Odoo spend a surprising share of their day translating intent into clicks: hunting for the right record across res.partner, sale.order, and account.move, updating a dozen fields by hand, and stitching together follow-ups that Odoo's built-in automated actions and server actions can't express without a developer. Odoo's native tooling is excellent at deterministic rules, but it runs out of road the moment you want a natural-language request — "find overdue invoices for this customer and draft a follow-up activity" — turned into a safe, reviewable set of ORM operations. Bolt an unconstrained AI onto your database and you inherit the opposite problem: a system that can write anything, anywhere, with no record rules, no approvals, and no audit trail.

The AI Work Agent is the controlled middle path, and ECOSIRE builds it to fit your database. We deliver a proper Odoo module — a __manifest__.py declaring dependencies, new models.Model classes for agent sessions, action requests, and audit entries, plus OWL/XML views and QWeb-rendered summaries. The agent performs read-only data discovery by translating requests into parameterized ORM search_read calls scoped to models and fields you approve, never raw SQL. When a request implies a write, the agent proposes a structured CRUD payload rather than executing it blindly: the proposed create/write/unlink is materialized as an approval-gate record that a human reviews and confirms before anything touches live data. Every proposal, approval, and executed operation is written to an immutable audit log capturing the user, model, record ids, field-level diff, and timestamp.

Security is enforced with Odoo's own primitives, not bolted on. Access to the agent and its models is governed by ir.model.access.csv and record rules, so the agent can only ever see and touch what the acting user is already entitled to — it inherits, never escalates, permissions. Higher-risk models (anything financial, HR, or partner-facing) can be flagged to require a second-approver gate. Workflow automation is expressed as configurable recipes that chain discovery, proposal, and post-approval side effects (creating activities, tagging records, triggering an existing automated action), and the whole layer is reachable programmatically through Odoo's XML-RPC/JSON-RPC API so your other systems can submit requests and read audit history. We build against your target line — Odoo 17.0, 18.0, or 19.0 — and account for Community vs Enterprise differences (for example, leaning on your Enterprise studio/approvals where present, or shipping the equivalent in Community).

Because this is build-to-order, delivery follows a clear path: a scoping call to map your models, risk tiers, and workflows; a fixed written quote; development on our infrastructure; UAT on a staging copy of your database; then production install and a training session. Typical delivery is 2–4 weeks from confirmed scope. Pricing starts from $299 (indicative, single-company base scope); multi-company topology, deeper localization, additional external integrations, and larger data-migration volumes increase the quoted scope. You receive the full source and git repository at handover — there is no lock-in.