An AI copilot, built into your software.
Your customers want AI in your product. We build in a copilot that answers on their data and acts in your software, through an MCP server built from your API, with reliability tests before every release.
- In your product
- in your brand colours
- MCP server
- built from your API
- Tested
- before every release
Your customers expect AI in your product.
Three things we hear from software vendors.
« All our competitors are announcing an AI assistant. Our customers ask us when ours is coming. »
« We don't have an AI team, and the product roadmap is already full. »
« We can't let an agent act on our customers' accounts without being sure of what it does. »
The result: an AI project pushed back quarter after quarter. A turnkey, tested copilot changes the game.
What we deliver.
A copilot built into your product, maintainable by your team, with the safeguards to open it to your customers.
Built-in copilot
An assistant panel in your interface, in your brand colours, that answers on each customer's data and explains what it does.
Your product's MCP server
Built from your API: every useful action becomes a tool that the copilot, and other assistants, can use.
Action agents
Create, update, follow up, prepare a document: the copilot acts in the software, with human approval on sensitive actions.
Reliability test bench
Real scenarios replayed before every release to measure the accuracy of answers and actions.
Cost tracking per customer
AI consumption attributed to each end customer, so you can manage your margins and your offer.
Handover to your team
Code in your repositories, documentation and support for your developers to evolve the copilot.
- MCP server
- Claude or open source models
- Human approval
- RAG on customer data
- Evaluation bench
- Embeddable web component
Four steps, at your pace.
Our guiding thread: the ICPC method. You stay in control at every step, and you can stop whenever you want.
- Identify
Choosing use cases
With your product team, we pick the questions and actions your customers want most.
- Frame
Architecture and safeguards
Tools exposed from the API, permissions per customer, actions requiring approval, reliability criteria.
- Produce
Integration and testing
MCP server, copilot in your interface, test bench, then a beta with a few customers.
- Capitalise
Roll-out and evolution
Gradual roll-out to your customers, new tools, tracking of reliability and costs.
Vendors who want AI in their product, without an AI team.
- Vertical B2B SaaS vendors: CRM, management, operations, accounting.
- ERP vendors who want to add agents to their offer.
- Product teams of 10 to 200 people, with an existing API and a busy roadmap.
Little to prepare to get started.
- A documented API, or access to the team that knows it.
- A product owner to decide on use cases.
- A test environment with representative data.
Your data stays yours, right from the start.
Sovereignty
Hosted in Europe, within your perimeter.
Confidentiality
No third-party training on your data, ever.
Freedom
Choice of models, no vendor lock-in.
Compliance
GDPR & AI Act by design.
Ownership
The code and configurations belong to you.
Frequently asked questions
The other Studio offers.
Claude workflows for your business
Skills and MCP connectors that automate your business in Claude, installed and then maintained over time.
AI agent audit
Are your agents expensive, or breaking silently? Costs, memory, crons, MCP and routing under the microscope, fixes included.
Private AI assistant
An in-house ChatGPT, connected to your documents and tools. No data ever leaves your perimeter.
Let's start with a conversation.
A first conversation to check that this offer fits your need. We'll tell you honestly what is useful, and what can wait.