Agents that read and write to Odoo.
With your team in the loop.
Custom AI agents that look up a customer, check stock, draft a quote, post an invoice, log an activity, and escalate when something is off. Auditable. Approval-gated. Built around your Odoo, not bolted on.
Six AI agents we have scoped or shipped against Odoo.
Each one handles a multi-step task that used to need a human at the keyboard. The human is still in the loop, just no longer typing.
Quote-drafting agent
Sales rep forwards a customer email. The agent reads it, pulls the partner record from Odoo, drafts a quote with the right products, prices, and terms, and waits for human approval before sending.
Procurement agent
Watches stock levels, evaluates supplier prices and lead times, and proposes purchase orders. A buyer approves with one click. The PO posts to Odoo with full reasoning logged.
Internal knowledge agent
Trained on your SOPs, contracts, and past project docs. Answers questions from Slack with citations. Knows what is in Odoo and can look up specific records.
Reporting agent
Pulls from Odoo, your data warehouse, and analytics tools. Delivers the weekly digest in Slack with anomaly callouts, not just charts. Editable narrative summary, not a static dashboard.
Triage and routing agent
Reads inbound email, WhatsApp, and form submissions. Classifies intent, looks up context in Odoo, drafts a response, and routes to the right person if escalation is needed.
Exception handler
Watches for unusual orders, stock discrepancies, late payments. Investigates by calling Odoo, the bank API, the supplier's system. Surfaces what is wrong, why, and what to do about it.
Agents that act with permission, not in spite of it.
The reason most teams are nervous about AI agents is the headline failure modes. We engineer them out at the start, not after the first incident.
Human approval where it counts
Every customer-facing send, every financial post, every irreversible action is gated behind a one-click approval. The agent does the work, your team holds the trigger.
Full audit log
Every prompt, every tool call, every record read or written. Queryable, exportable, retained as long as you need. Auditors and your future self will both thank us.
Confidence-thresholded fallback
Below a confidence score we set with you, the agent escalates rather than guesses. You would rather a 30-second wait than a wrong customer message.
Scoped permissions
The agent reads what it needs, writes only where you allow. Per-model and per-field access control in Odoo. No omnipotent service accounts.
AI agent questions, answered straight.
What is an AI agent in the context of Odoo?+
An AI agent is an autonomous program that uses a language model as its brain and tools (Odoo API, email, search, calendar, etc.) to complete multi-step tasks. Unlike a chatbot, it can take actions, not just generate text. We build agents that read from and write to Odoo while a human stays in the loop on anything irreversible.
How is an AI agent different from n8n or Zapier?+
n8n and Zapier follow a fixed workflow you design. An AI agent decides the steps as it goes, based on the input and what it finds along the way. Agents are right when the task is too varied to script. Workflow tools are right when the task is repeatable and predictable.
Will the AI agent send things to my customers automatically?+
Only if you explicitly enable that. Default behavior is a draft-and-approve loop. Customer-facing sends always go through a human review until you flip a flag. We can lift restrictions selectively, by action type, over time.
Which LLM do you use? OpenAI, Claude, open-source?+
Whichever fits the task. Frontier models (Claude, GPT) for nuanced reasoning, smaller and faster models for high-volume routine work, local open-weights models when data residency requires it. Often a mix inside one agent.
How do you prevent hallucinations writing to Odoo?+
Three layers. (1) The agent calls Odoo through a strict tool schema, so it cannot invent field names or values. (2) Writes are gated on human approval. (3) Confidence-thresholded escalation. The result is closer to deterministic than vibes-based.
How long does an AI agent engagement take?+
Six to ten weeks for an initial agent in production. Includes scoping, tool design, evals, human-in-the-loop UX, and audit log. Subsequent agents on the same stack ship in two to three weeks.
What task in your business is too varied to script, but too repetitive to want to do?
Tell us. That is exactly the shape of work an AI agent is for. We will scope it, propose a guardrail design, and ship the first version in weeks.