Artificial intelligence

Applied AI measured in results

No flashy demos nobody uses: we integrate AI into your processes and Odoo starting with one use case and a clear metric, and only scale what proves its return. Your data stays under your control.

Our approach

Results first, technology second

  1. 01

    One problem, one metric

    We pick a specific process and measure how it performs today (time, errors, cost) before touching anything.

  2. 02

    Pilot with real data

    A scoped pilot with real users and real data to prove impact without putting operations at risk.

  3. 03

    Human in the loop

    AI proposes; your team approves. Critical actions always go through a person.

  4. 04

    Measure and decide

    We compare against the baseline: scale what works, adjust or drop what does not.

Use cases

Where AI actually helps

Select a use case to see what it does, how it connects to your systems, and which metric defines success.

Document reading

What it does
Reads supplier invoices, purchase orders and receipts (PDFs, photos, emails) and extracts the key data.
How it integrates
Creates drafts in Odoo (bills, orders, contacts) that your team reviews and approves in one click.
How we measure success
Minutes per document and share of fields correct without manual fixes.

Assistant over your knowledge

What it does
Answers team questions using your manuals, policies, contracts and Odoo data, always citing the source.
How it integrates
Search over your documents and Odoo queries that respect each user’s permissions.
How we measure success
Time to find an answer and questions resolved without escalation.

Support triage

What it does
Classifies tickets, detects urgency, suggests replies and related articles.
How it integrates
Right inside Odoo Helpdesk: the agent sees the suggestion and decides whether to use it.
How we measure success
First response time and misclassified tickets.

Sales & CRM

What it does
Summarizes conversations and meetings, prioritizes opportunities and drafts follow-ups.
How it integrates
Suggested notes and activities in Odoo CRM, ready to review and send.
How we measure success
Follow-up time on opportunities and conversion rate by stage.

Demand & inventory

What it does
Forecasts demand from your history and seasonality, and suggests replenishment.
How it integrates
Purchase proposals in Odoo Inventory that the owner approves.
How we measure success
Stock-outs and slow-moving inventory.

Agents for repetitive work

What it does
Run multi-step workflows such as reconciliations, standard quotes or data cross-checks.
How it integrates
With least-privilege access, a log of every step and human approval before confirming.
How we measure success
Hours freed per week and errors per process.

Data security

Your data, under your control

AI is only worth it if it is secure. These are the rules we design every integration with.

How information flows
  1. 1 Your systems & Odoo Minimum data needed
  2. 2 Security layer Anonymization · permissions · logging
  3. 3 AI model No training on your data
  4. 4 Validation Rules and format checked
  5. 5 Human approval Your team decides

Your data never trains models

We use providers with enterprise agreements that exclude training on your data and limit retention.

Minimization & anonymization

We send the model only what is strictly needed; personal data is masked whenever possible.

Inherited permissions

The assistant only sees what the user can already see in Odoo and your systems. Nothing more.

Human approval

No critical action (payments, invoices, messages to customers) runs without a person approving it.

Full traceability

We log every query, source used and proposed action for auditing and continuous improvement.

Tamper protection

Defenses against prompt injection, output validation and hard limits on what AI can do.

Where your data lives

We choose region and provider with you; when required, we deploy open models in your own cloud.

Compliance

Designed around Colombian Law 1581 of 2012: purpose, authorization and disclosed international transfers.

How we start

From idea to measured impact

  1. 01

    Assessment

    We identify the processes with the highest potential and measure their baseline.

  2. 02

    Secure design

    We define data, permissions, provider and controls before building.

  3. 03

    Pilot

    We build the use case with a group of real users and real data.

  4. 04

    Measurement

    We compare against the baseline and share the results with you.

  5. 05

    Scale

    We roll out what proved its return and keep measuring.

FAQ

About AI in your company

Do I need Odoo to use AI with you?

No. We integrate AI with your current systems; if you run Odoo, integration is more direct because it already centralizes your data and processes.

Which AI models do you use?

We choose per use case, cost and data requirements: leading providers under enterprise agreements, or open models deployed in your cloud.

Is my data used to train the AI?

No. We work with providers and settings that exclude training on your data, and we send only the minimum information needed.

What if the AI gets it wrong?

That is why we design with human approval, automatic validation and quality metrics. AI proposes; your team decides.

How much does it cost?

It depends on the use case and volume. The assessment defines the pilot cost and expected return before you invest in scaling.

See all frequently asked questions

Let's find your first AI use case with real return

In a free assessment session we identify the process with the highest potential and how to measure its impact.

Book a free consultation