Now booking Q3 — Odoo 20 upgrades & agentic-AI integrations Start a project →
Agentic AI for Odoo

Your ERP, finally thinking for itself.

We build AI agents that live inside Odoo — reconciling accounts, drafting replies, forecasting stock, parsing invoices. Not a side SaaS. Not a chrome extension. Native modules, your data stays put, your bill stops growing.

Start an AI pilot → See use cases
Why now

Odoo 20 went agentic. Most teams haven’t caught up.

The 2026 Odoo release direction is autonomous workflows — LLM-driven reconciliation, predictive operations, helpdesk co-pilots. The platform finally supports what the rest of SaaS has been doing for two years.

But the install base is on v17, v18, v19. Every quarter you wait without an AI layer is another quarter your team types things a model could do in milliseconds.

  • Open-model first — OpenAI, Anthropic, Mistral, local Llama. You choose.
  • Your data never leaves your Odoo instance unless you say so
  • Token budgets capped per workflow — no $5k surprise bills
  • Production guardrails: every AI action is logged & reversible
Odoo AI Assistant Reconciling June statements
Active
I’ve matched 142 of 156 bank lines automatically. 14 need your attention — shall I show the top 3?
Yes, top 3.
Line #47 — $2,840 from BLUEDART CORP. Looks like the Bluedart cashback for May. Apply to Logistics rebates?
AI use cases

Six places AI pays for itself in week one.

These are the agents we ship most often. Each one is a self-contained module — you can run any of them without buying the rest.

Accounting reconciliation

Match bank statements to invoices and ledger entries. 90% auto-cleared, the rest flagged with reasoning — not just “needs review.”

Predictive replenishment

Forecast SKU-level demand from sales velocity, seasonality, lead times. Generates PO suggestions you can one-click approve.

Helpdesk co-pilot

Drafts replies based on past tickets & product docs. Auto-tags, routes, escalates. Tier-1 close-rate jumps 60% on day one.

Invoice & PO parsing

Drop a vendor invoice PDF, get a coded draft entry. Handles GST, foreign currency, line-item splits, partial receipts.

SOP & doc generation

Turn process recordings into versioned SOPs. Bound to Odoo records so audit trails stay clean.

CRM next-best-action

Surface which deals to call today, what to say, what objections to prepare for — reasoned from your actual deal history.

The honest pitch

Most “AI for ERP” pitches are vibes. Here’s the difference.

Typical AI add-on

  • Wraps a single LLM API call in a button
  • Sends your customer data to whichever provider is cheapest this week
  • No audit trail when the model is wrong
  • Subscription on top of your Odoo bill, forever
  • “Hallucination” treated as a UX problem, not a correctness one
  • Stops working when Odoo upgrades

How we build it

  • Each AI action is a proper Odoo module with tests
  • You choose the provider; we can run local models too
  • Every AI suggestion has a reasoning trail & user override
  • One-time module — no per-seat or per-call SaaS markup
  • Confidence scored; low-confidence outputs get human review by default
  • Versioned and maintained across Odoo upgrades
~70%tickets auto-resolved by helpdesk co-pilot
90%bank lines auto-reconciled
$2.4kavg. monthly SaaS replaced per client
3–6 wkstypical pilot to production
How we deliver

From “we should try AI” to production, in four weeks.

1

Pick the win

30-min call. We point at the workflow with the highest ROI for your data shape.

2

Pilot in staging

One agent, two-week build, your real data in a sandbox. Measurable before/after.

3

Ship to prod

Confidence thresholds tuned, audit dashboard live, rollback button tested.

4

Expand

Add the next agent. Each pays back inside its first quarter or we say so.

Model stack

Pick the provider. Or pick all of them.

We’re model-agnostic. Routing per workflow based on cost, accuracy, latency — not vendor loyalty.

Claude (Anthropic) GPT-5 (OpenAI) Gemini (Google) Mistral Llama (local) Qwen (local) Whisper (audio) pgvector Pinecone Ollama (on-prem) LangChain DSPy

Run one AI agent in your Odoo — in four weeks.

Pilot scope is fixed: one workflow, staging-first, before/after measured. If it doesn’t pay back, you don’t roll it out.