产品详细信息以英文显示。翻译即将推出。
速览
- 价格
- $299.00 USD
- Odoo 版本
- 17, 18, 19
- 设置时间
- 30分钟
- 许可证
- 一次永久
- 语言
- 11 语言
一次性购买
AI Automations Studio
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.
$299.00USD
现在无需付款。此操作会向我们的团队发送报价请求——我们会通过邮件跟进价格和后续步骤。
核心功能
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
Inbound-reply capture through controller webhooks that re-enter a live flow, enabling two-way conversational automations
All customer-facing messages rendered from QWeb templates so copy, branding, and translations stay editable by your team
Action nodes call any model through the ORM (create/update/activities/emails) with `@api.depends` computed fields where derived values are needed
Security enforced with `ir.model.access.csv` plus record rules so flows can only read/write records the executing user is permitted to touch
Human-in-the-loop approval nodes that pause a run and route to a user/group before continuing
Optional exposure of flows to your other systems over Odoo's XML-RPC / JSON-RPC API for external triggering
Multi-company aware — flows and channel credentials scoped per `res.company` when your database is multi-company
Built and tested for Odoo 17.0, 18.0, and 19.0, with the Community vs Enterprise dependency path made explicit for your database
关于此产品
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.
为什么选择 AI Automations Studio
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.
你得到什么
- Installable source code for your version of the module, packaged with a clean `__manifest__.py` and pinned to your Odoo major version
- Installation and configuration on your staging environment, including channel credentials and AI adapter wiring
- Technical documentation — data model, node catalog, security (access + record rules), and integration/webhook reference
- End-user guide plus a live training session for your workflow builders and admins
- UAT on a staging copy of your database with a documented, tested rollback plan before production promotion
- Post-go-live support window for defect fixes and configuration questions
- Git repository handover with full commit history and tagged release for your version
这是给谁的
Operations lead who outgrew Automated Actions
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.
CRM / customer-success manager
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`.
Odoo functional consultant / internal admin
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.
Founder / COO of an Odoo-run SMB
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.
安装概述
从ECOSIRE下载
在 ecosire.com 上购买许可证并从您的帐户仪表板下载 AI Automations Studio 模块 ZIP。
上传至Odoo
将 ZIP 解压到服务器上的 Odoo 自定义插件文件夹中（或通过“应用程序”>“从 Odoo.sh / runbot 上的文件安装”上传）。
安装模块
激活开发者模式，打开应用程序，单击更新应用程序列表，搜索 AI Automations Studio，然后按安装。
配置设置
打开新菜单，粘贴您的 ECOSIRE 许可证密钥，连接任何外部凭据（Shopify、Amazon、Stripe 等），然后保存。
验证并上线
运行内置连接测试，同步前 10 条记录，并安排定期 cron。如果出现任何问题，请联系支持人员。
AI Automations Studio 如何比较
| 标准 | 伊科西尔 | 定制建造 | 竞争对手 | 奥杜本机 |
|---|---|---|---|---|
| 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 |
关于AI Automations Studio的常见问题
Is this an app I can download and install today?
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.
How long does delivery take?
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.
How does pricing and scoping work?
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.
Which Odoo versions and editions are supported?
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.
What about support and updates after go-live?
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.
How is the AI chatbot secured and which provider does it use?
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.
Can existing workflows and external systems trigger these flows?
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.
相关模块
申请报价
AI Automations Studio
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.
- 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