AI that doesn’t just answer. It analyzes, acts, and prepares.
Ask for what you need. Operativo’s AI builds operational views on your real data, simulates the impact of new orders on the plan, and designs new features with you, preparing changes for review and approval before release.
What’s the efficiency trend by shop floor over the last 3 months?
Yes, and create a view with the details
Now connects to Claudevia MCP serverThis is not a chatbot
Most production software ships with a chatbot that answers questions. Operativo ships an AI agent that works on your data and delivers concrete results.
The market
- ✗Answers generic questions about the process
- ✗Suggests actions but never executes them
- ✗No access to real production data
- ✗Every change needs a ticket and weeks of waiting
Operativo AI
- ✓Builds operational views with tables, charts, and KPIs on your data
- ✓Analyzes real production data in real time
- ✓Simulates finite-capacity scenarios before you decide
- ✓Designs new features with you and prepares releases for approval
- ✓Every change is proposed, reviewed, and approved before release
What it does for you
An AI agent that works on your data to deliver concrete results
Build operational views on demand
Want to see late orders grouped by customer? Just ask. The AI creates the view with tables, charts, and KPIs in seconds — no configuration screens, no manual reports.
Design new features from chat
Describe what you need in chat. The AI designs the solution with you and prepares the technical change, without opening tickets and waiting weeks. Release remains subject to review and approval.
Simulate scenarios on the live plan
Check the impact of new orders or priority changes before you decide. The simulation uses the same finite-capacity logic as the scheduler.
Your data, your answers
Ask questions about your real production data and get operational answers. Trends, shop-floor comparisons, time analyses: what used to take hours in Excel now starts from a question.
Warns you before it’s too late
Identifies risks, bottlenecks, and anomalies before they become emergencies. Monitors production continuously and alerts you when intervention is needed.
Controlled and transparent
Answers come from your real production data. Every action respects user permissions, operational context, and approval before release.
See how it works
Ask in plain English, the AI acts. Here are four real scenarios.
Show me late orders grouped by customer
Analyzing production data...
Finding orders past due date and grouping them by customer
Building the custom view with the results
I created the "Late orders by customer" view. There are 12 late orders spread across 5 customers. ACME Srl has the highest average delay: 4.2 days.
Where you actually work
Operativo’s AI supports you in the moments you make operational decisions: while you plan, when you need a quick data point, or when an alert needs attention.
Inside the platform
While you plan or monitor production: ask for a view, run a simulation, or flag a change without switching screens.
On desktop
When you need a quick answer: open the chat without interrupting what you’re doing.
On your phone
When you’re out of the office: get alerts on delays or anomalies and respond before they become problems.
From Claude, via MCP
Connect Operativo to Claude: the AI cross-references your plan, orders, and warehouse with email, documents, and calendar — outside Operativo, on the same real data.
New · MCP server
Connect Claude to your production
With MCP (Model Context Protocol, the open standard for connecting AI to business data), Operativo becomes a tool Claude uses alongside email, calendar, documents, and spreadsheets. Information that bounces between ERP, email, and phone today starts moving on its own.
Rossi & C.
Order ORD-2214
"What’s the status of my order? When will it arrive?"
Claude + Operativo MCP
Querying the production plan in Operativo...
Draft ready
Good morning, order ORD-2214 is in painting: delivery is confirmed for Thursday, July 16.
You review it and hit send.
Customer emails about delivery dates
Claude cross-checks the request with the scheduler and drafts a reply with real dates — not "we’ll get back to you".
Monday morning briefing
Orders at risk, machines under pressure, pending customer emails: one picture, data already cross-referenced.
Urgent quotes
Before promising a date, Claude checks the real machine loads for the coming weeks.
Management reports
Production, warehouse, and monthly trends in one document — no copy-pasting from three systems.
A chatbot answers about one system. An MCP makes your systems work together.
Read-only connection with your account permissions: Claude reads the data, the decisions stay with you.
See the AI in action on your data
Book a demo and see how Operativo’s AI creates views, simulates scenarios, and can accelerate new features with review and approval before release.