Teams that run Odoo hit a wall when their automation needs outgrow the built-in tools. Odoo's native base_automation (Automated Actions) fires server actions on create/write/unlink or on a timed condition, and Server Actions let you run a bit of Python — but there is no visual canvas, no branching-with-loops, no human-in-the-loop approval steps, and no way for a non-developer to see or edit what a rule actually does. The moment you want "if a lead scores above 40, wait two days, message the customer on WhatsApp, and if they reply, create a crm.lead activity and notify the salesperson," you are writing bespoke Python across several ir.actions.server records with no orchestration view and no audit trail. Multi-channel messaging is worse: Odoo Community has no first-class WhatsApp, and stitching email, SMS, and chat into one conversation thread per customer is a custom job every time.

AI Automations Studio is the layer we build to close that gap. At its core is a visual workflow builder — an OWL-based canvas backed by new models such as ecosire.automation.flow, ecosire.automation.node, and ecosire.automation.run — where triggers, conditions, delays, branches, loops, and actions are nodes you connect on a graph instead of scattered server actions. Each run is persisted so you get a full execution log with per-node status, inputs, and errors. Nodes can call any Odoo model through the ORM, invoke an AI chatbot node (an assistant grounded on your own records via retrieval over selected models and served through our LLM-adapter service with your API key), and send messages across channels through a pluggable ecosire.messaging.channel abstraction that unifies email, SMS, WhatsApp, and live chat into one mail.thread-linked conversation timeline. Inbound replies are captured via webhook controllers and can re-enter a running flow, enabling true two-way, conversational automations. Everything is secured the Odoo way: ir.model.access.csv for model-level rights plus record rules so a workflow only touches records the running user is allowed to see, and QWeb templates for any message or report a flow emits.

Because this is built to order, nothing ships until we have agreed the scope with you. We start with a short scoping call, map your triggers, channels, and target models, then build your version on Odoo 17.0, 18.0, or 19.0 — respecting the Community vs Enterprise split in your database (for example, where a capability leans on Enterprise-only modules, we either integrate cleanly or provide a Community-safe path and tell you which). You get installable source in a __manifest__.py-packaged module, tested on a staging copy of your database, then promoted to production with a rollback plan. Typical delivery is 2-4 weeks from confirmed scope. Pricing starts from $299 (indicative, single-company base scope); the number of messaging channels, external integrations, AI grounding depth, and multi-company or multi-language requirements increase the quoted scope.