A build-to-order Odoo automation layer that pairs a visual, drag-and-drop workflow builder with an AI chatbot and unified multi-channel messaging. ECOSIRE scopes, builds, installs, and supports it on your Odoo 17, 18, or 19. Built to order by ECOSIRE for Odoo 17, 18, 19 — indicative price from $299.00 USD; request a quote for a scoped proposal.

A build-to-order Odoo automation layer that pairs a visual, drag-and-drop workflow builder with an AI chatbot and unified multi-channel messaging. ECOSIRE scopes, builds, installs, and supports it on your Odoo 17, 18, or 19.
अभी कोई भुगतान नहीं। यह हमारी टीम को एक कोटेशन अनुरोध भेजता है — हम कीमत और अगले चरणों के साथ ईमेल द्वारा संपर्क करेंगे।
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.
OWL-based visual workflow canvas backed by `ecosire.automation.flow` / `.node` / `.run` models — build orchestrations as connected nodes, not scattered server actions
Trigger nodes on ORM events (`create`/`write`/`unlink`), timed/cron conditions, incoming-message webhooks, and manual/button starts
Branching, delay, wait-for-reply, and loop nodes for true multi-step, stateful flows instead of single-shot automated actions
Persisted execution log — every `ecosire.automation.run` records per-node status, payload, and stack trace for full auditability and replay
AI chatbot node grounded on selected Odoo models via retrieval, served through an LLM-adapter service using your own API key (no vendor lock to one provider)
Unified multi-channel messaging via a pluggable `ecosire.messaging.channel` layer — email, SMS, WhatsApp, and live chat in one conversation
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.
Runs several fragile server actions and scheduled jobs and wants one visual, auditable place to see and edit what fires when — with delays, branches, and approvals native automation can't express.
Needs lead-score-driven follow-ups that reach customers on WhatsApp, SMS, and email from a single thread, with replies feeding back into the flow — not a separate blast tool disconnected from `crm.lead`.
Owns the database and wants a supported, source-delivered automation layer that respects `ir.model.access.csv` and record rules, installs cleanly on 17/18/19, and won't become undocumented tribal knowledge.
Wants to automate repetitive customer messaging and internal handoffs with an AI assistant grounded on real records, without hiring a full-time developer to maintain bespoke Python.
Buy the license on ecosire.com and download the AI Automations Studio module ZIP from your account dashboard.
Extract the ZIP into your Odoo custom addons folder on the server (or upload via Apps > Install from file on Odoo.sh / runbot).
Activate Developer Mode, open Apps, click Update Apps List, search for AI Automations Studio, and press Install.
Open the new menu, paste your ECOSIRE license key, connect any external credentials (Shopify, Amazon, Stripe, etc.), and save.
Run the built-in connection test, sync your first 10 records, and schedule the recurring cron. Contact support if anything fails.
| Criterion | ECOSIRE | Custom Build | Competitor | Odoo Native |
|---|---|---|---|---|
| Visual builder | OWL drag-and-drop canvas with branches, loops, delays | Whatever you build; usually none | Often form-based rules, limited or no true canvas | |
| Multi-step orchestration | Stateful runs with wait-for-reply and approvals | Possible but hand-coded and fragile | Typically single-shot triggers | |
| Multi-channel messaging | Email, SMS, WhatsApp, chat in one thread | Each channel integrated separately by you | Usually one or two channels | |
| AI chatbot | Model-grounded assistant, your own API key | Build and secure the integration yourself | Rarely included or add-on only | |
| Execution audit log | Per-node run log with payloads and errors | Only what you choose to log | Often minimal or none | |
| Security model | `ir.model.access.csv` + record rules enforced per run | Depends on developer discipline | Varies by vendor | |
| Ownership & support | Source + git handover + support window | You own it and maintain it | Vendor-controlled, license-bound | |
| Delivery model | Scoped, built, installed in 2-4 weeks | Open-ended dev timeline | Instant download, fits-all |
No. AI Automations Studio is build-to-order: ECOSIRE scopes it with you, then builds, installs, and supports your version. It is not an existing apps.odoo.com download, and we never claim instant download.
Typically 2-4 weeks from confirmed scope. After the scoping call we agree the node set, channels, and target models; the timeline moves with the number of integrations, AI grounding depth, and multi-company or localization requirements.
Pricing starts from $299 as an indicative single-company base figure. It is not a fixed price — after the scoping call we send a fixed written quote. Extra messaging channels, external integrations, AI depth, and multi-company/multi-language needs increase the quoted scope.
We build and test for Odoo 17.0, 18.0, and 19.0 on both Community and Enterprise. Where a capability depends on Enterprise-only modules we integrate cleanly or provide a Community-safe path, and we tell you exactly which applies to your database.
Every engagement includes a post-go-live support window for defect fixes and configuration help, plus the full git repository so your team owns the code. Version upgrades and new features are scoped as follow-on work when you need them.
The AI node runs through an LLM-adapter service using your own API key, so you control the provider and data boundary. Grounding is limited to the Odoo models you select, and all flow actions are constrained by `ir.model.access.csv` and record rules.
Yes. Flows can be started by ORM events, cron/timed conditions, inbound message webhooks, manual buttons, or externally over Odoo's XML-RPC / JSON-RPC API, so other systems in your stack can kick off automations.
A build-to-order Odoo automation layer that pairs a visual, drag-and-drop workflow builder with an AI chatbot and unified multi-channel messaging. ECOSIRE scopes, builds, installs, and supports it on your Odoo 17, 18, or 19.