Industrial AI
Industrial AI in the ERP: a copilot that explains, guides and never writes without confirmation
The AVIA ERP assistant reads the screen context, answers in plain language, explains business-rule refusals and prepares documents. It proposes; you confirm.
A copilot that knows the context
Industrial AI
It knows which page is open and which entity is displayed, and reads real-time indicators: pending purchase requests, manufacturing orders in progress, items below their minimum.
- Status
- Available
- Module
- Industrial AI
The principle
- It knows the open page, the displayed entity and a few real-time indicators
- Every write goes through a confirmation click
- Every exchange is logged
Short answer
The AI in AVIA ERP is a copilot built into the ERP, not a tool beside it. It answers in the context of the screen, produces four natural-language reports, explains why a business rule refused an action, guides three procedures step by step, prepares records and document drafts, and reads scanned documents. It writes nothing without a confirmation click from the user, and it replaces neither business rules nor permissions: its actions go through the same controls as the screen.
What the assistant does
Every capability exists in the product. Those whose scope is narrower than their name are marked “Partial” and explained.
- Available
A copilot that knows the context
It knows which page is open and which entity is displayed, and reads real-time indicators: pending purchase requests, manufacturing orders in progress, items below their minimum. It answers in the user’s language — French, English or Arabic — and can return an Excel table or a chart.
- Partial
Natural-language reports
Four predefined reports: top customers by revenue, margin per project, items below threshold, open purchase orders. The query is fixed; the AI picks the report and writes a short summary. It is not a free-form question on the whole database.
- Available
Refusal explanations and guidance
When a business rule refuses an action, the copilot explains the refusal from the rule catalogue, without guessing. Three procedures are guided step by step: supplier then order, releasing a manufacturing order, closing a period. The state of each step is read from the tenant’s data.
- Available
Assisted document creation
It prepares an item, a customer, a supplier, a manufacturing order, a purchase request, a workstation, a project or a job, as well as a draft supplier invoice or quote. The action goes through the same processing as the screen, so through the same controls, and only once confirmed.
- Available
Reading scanned documents
It reads supplier invoices, field sheets and handwritten inventory sheets. For inventory, the result is a proposal of values that a person checks: the AI does not write to stock on its own.
- Available
A log of every exchange
Each interaction is recorded: user, question, answer, response time. The user can rate the result — accepted, modified or rejected — and the copilot’s actions are logged.
What the AI does not do
A copilot that promises everything is one you distrust. Here are the limits.
- It never writes without confirmation: no creation or change is executed before the user’s click, and no autonomous action exists.
- It does not answer any question on the whole database: natural-language reports cover four templates, and guided procedures cover three.
- It does not invent rules: it explains those in the catalogue, and rereads the twelve risk signals as the rule engine computes them, without recalculation.
- It does not detect anomalies by learning: risk signals are rules, not a statistical model.
Going further
A copilot is only as reliable as the data it reads. Three guides on inventory, data migration and choosing an ERP, sectors where traceability matters, and neighbouring pages.
Guides
Production
Cycle counting: putting an end to the annual production shutdown
8 min read
Architecture
ERP data migration: the step that decides the project's success
8 min read
Architecture
How to choose an industrial ERP: the 7-step method
9 min read
Sectors
- PharmaceuticalGood manufacturing practice, audit trail, batch and expiry management, release.
- Medical devicesBatch records, upstream and downstream traceability, recall management.
- MachiningRoutings and machine times, CNC centres, subcontracting, dimensional inspection and true cost price.
Related pages
Frequently asked questions
Can the AI change my data on its own?
No. The copilot prepares and proposes, but never writes without a confirmation click from the user. The confirmed action goes through the same controls as if it were entered on screen.
Can I ask my data any question?
No, not across the whole database. Natural-language reports rest on four predefined templates (top customers, margin per project, items below threshold, open purchase orders): the AI picks the right one and writes the summary, without writing a free-form query.
What does the AI do with business rules?
When a rule refuses an action, the copilot explains the refusal in plain language from the rule catalogue and guides the user step by step. The rules remain the consultant’s: the AI neither creates nor bypasses them.
Can the AI read my invoices and inventory sheets?
Yes: supplier invoices, field sheets and handwritten inventory sheets. For inventory, it proposes values that a person checks before anything is written.
Are exchanges with the copilot kept?
Yes, each interaction is logged (user, question, answer, response time), and the user can rate it accepted, modified or rejected. How the language model processes data is clarified with us before deployment.
Let’s look at the copilot on one of your processes. Forty-five minutes, one real process, a written summary.
Book an industrial diagnostic