Connected AI

Your AI plugged into
your real tools.

AI integration for your software: we connect artificial intelligence to your online store, ERP, CRM or business applications. Ask a question in plain language, and the AI answers with your real data and can act for you, under your control.

Discuss my AI integration project
What it changes

What AI integration makes possible

AI assistants are powerful, but they don’t know your business. Once connected to your software, they become a real team member that looks up, analyses and acts inside your tools.

Questions about your data

Ask your software questions in plain language and get a precise answer drawn from your real data.

  • “How does this month’s revenue compare to last month?”
  • “Which customers haven’t paid their invoice?”
  • “Which products will be out of stock next week?”

Actions in your tools

The AI doesn’t just answer: it can create, update or send, with your approval.

  • Create a quote or an order
  • Update a customer or product record
  • Prepare a reminder or follow-up email

Online store

Run your WooCommerce store through conversation: orders, inventory, products and customers.

  • Order and return tracking
  • Writing and updating product pages
  • Sales and promotion analysis

ERP and CRM

Your sales management and customer relationships available to AI, without switching tools.

  • Dolibarr, Odoo and other ERPs
  • Custom or off-the-shelf CRMs
  • Dashboards generated on demand

Business applications

Your internal software and databases, even older ones, made AI-ready.

  • Custom-built applications
  • Internal SQL databases
  • Software with no official AI connector

Automated agents

AI agents that chain tasks across several applications, end to end.

  • Weekly report sent automatically
  • New order processing
  • Sync between store, ERP and accounting
The technology

The MCP protocol, simply explained

MCP (Model Context Protocol) is an open standard that lets an AI assistant plug into any software. It works like a universal socket between AI and your tools.

  • An open standard, adopted by the leading AI assistants: no vendor lock-in.
  • A custom connector, built for your software and your exact needs.
  • Permissions set by you: what the AI can read, and what it can change.
  • Works with a private AI installed on your own server.
Our method

From idea to connected AI, in 4 steps

A step-by-step project: you see results on a real use case before going further.

1
Week 1

Scoping

We identify the questions and actions that would save you the most time.

  • Review of your software and its access
  • Choice of the first use cases
  • Security and privacy rules
2
Weeks 1 to 2

Prototype

A first read-only connector, tested on your real data.

  • Plain-language questions about your data
  • Demo for your team
  • Value confirmed before going further
3
Weeks 2 to 4

Go-live

The full connector, secured and linked to the AI assistant of your choice.

  • Controlled actions with human approval
  • Authentication and action log
  • User training
4
Ongoing

Support

Maintenance, improvements and new use cases as your needs grow.

  • Connector and protocol updates
  • Monitoring and fixes
  • New features added
Security

Powerful AI, always under control

Connecting AI to your software means giving it access to sensitive data. Security is built in from the start.

01
Limited permissionsThe AI only accesses the data and actions you have authorised, nothing more.By default: read-only, with changes enabled one by one.
02
Human approvalImportant actions, such as creating an order or sending an email, require your approval.Result: no irreversible action without your sign-off.
03
TraceabilityEvery AI request and action is recorded in a searchable log.Result: you know who asked for what, and when.

What if your AI finally knew your business?

A free audit to identify which software to connect first.

Book my free audit
Key takeaways

AI integration: what to remember

Successful AI integration isn’t about adding yet another tool, it’s about making your current software accessible to artificial intelligence. With the MCP protocol, your AI assistant reads your real data and acts in your tools, with permissions you define.

  • Start from needs: the questions and tasks that cost your team the most time.
  • Start read-only, then enable actions one by one.
  • Secure it with limited permissions, human approval and an action log.
  • Choose freely your AI assistant, or a private AI hosted on your own server.

For more use cases, read our guide AI agents for business: 8 practical use cases or see our page on artificial intelligence for SMEs.

FAQ

Frequently asked questions about AI integration

What is AI integration in business software?

It means connecting an artificial intelligence assistant to your software (online store, ERP, CRM, business application) so it can read your real data and perform actions, instead of answering only with general knowledge. (see the definition of the Model Context Protocol)

What is an MCP server?

An MCP server is a connector that exposes a software’s data and functions to an AI assistant, following the open Model Context Protocol standard. We build it to measure for your software.

Which software can be connected to AI?

Almost any software with an API or a database: WooCommerce, Dolibarr, Odoo, CRMs, custom-built applications or internal SQL databases.

Is my data safe?

Yes. The AI only accesses what you authorise, sensitive actions require your approval and everything is logged. For highly sensitive data, the connector can work with a private AI hosted on your server.

Do I need to change software to use AI?

No. The whole point is to keep your current tools and make them accessible to AI, with no migration and no change of habits for your team.