23 %
des organisations disent scaler un système agentique dans au moins une fonction. Concevoir le workflow, les droits et la supervision reste le vrai chantier.
Source, McKinsey, The state of AI in 2025 AI Development Studio
Imagine the SaaS
of your dreams
Agent Studio designs custom AI agents connected to your business tools — CRM, support, content, finance, or operations. The market is moving fast, but industrialisation remains rare: 23% of organisations report scaling an agentic system in at least one function, according to McKinsey. Our role is to turn a business need into an operational, measurable, and governed product.
Repères factuels
Moving from prototype to business workflow is the real challenge
39 %
des organisations expérimentent encore les agents IA sans être passées à l'industrialisation. Le besoin principal est donc le passage du prototype au produit métier.
Source, McKinsey, The state of AI in 2025 Approach
Custom
Connections
APIs & workflows
Supervision
Human-led
Governance
GDPR-first
Why does a custom AI agent become necessary when a generic tool is no longer enough?
A custom AI agent becomes necessary when value depends on your data, your business rules, and your existing tools. At that point, a generic tool is insufficient — you need a system that understands your context, acts with guardrails, and integrates into your actual operations.
We work like a modern development studio, constantly evolving to offer you the best technological solutions.
Our vision: SaaS or AaaS (Agent as a Service) on demand. Turnkey tools, perfectly adapted to your business and processes.
Everything is possible: Express landing pages, automatic translation, advanced analytics, custom AI agents...
const createAgent = async () => {
await ai.connect('gemini-3.0');
// Deploying custom logic...
return new SuperSaaS();
}
What can a custom AI agent realistically handle?
A custom AI agent can handle reading, drafting, qualifying, coordinating, and triggering actions in your tools. Its value comes from operating inside your business environment — with a defined framework — rather than in a generic space disconnected from your operations.
Custom SaaS
You imagine it, we build it. Software solutions perfectly adapted to your business needs.
AaaS - Agent as a Service
On-demand AI agents to automate your processes and increase your productivity.
Rapid Development
Express prototyping and deployment. From idea to production in a few weeks.
Modern Technologies
Modern stack: Next.js, React, Supabase, Vercel, and business integrations through APIs, connectors, and custom workflows.
Scalable Solutions
Scalable architecture that grows with your company, from startup to enterprise.
Security & Compliance
Hosting in France/Europe, GDPR compliance, and enterprise-grade security.
When should you choose the Studio over a simple experiment?
Choose the Studio when the topic is no longer purely exploratory and must become an exploitable asset. The signal is usually the same: a clear need, business logic to connect, existing tools to integrate, and a quality or supervision requirement that goes beyond a simple prototype.
| Situation | Why the Studio | Expected output |
|---|---|---|
| A use case is validated but remains manual or fragile | The Studio turns a validated need into a more robust system with integrations, supervision, and business rules. | Agent or interface connected to your tools and ready to be operated. |
| Teams already use multiple AI tools with no clear architecture | The Studio unifies flows, clarifies permissions, and structures how data moves through the system. | A more coherent, readable, and governable system. |
| You want to move from a test to a durable asset | The Studio organises the transition from prototype to product with metrics, guardrails, and an improvement trajectory. | More stable deployment, quality monitoring, and a foundation for industrialisation. |
Why does connecting the agent to your business tools change the outcome?
Connecting the agent to your business tools changes everything because value is generated through the data, validations, and actions already present in your organisation. Without integration, the agent remains peripheral. With integration, it becomes an operational link capable of reading, proposing, writing, or triggering actions in the right context.
Orchestra
Salesforce
Slack
Stripe
HubSpot
Which use cases can we deploy first?
We prioritise use cases where information flows across multiple tools, teams, or validation steps. These are typically the flows that generate the most friction, re-entry, and lost time — making them the best candidates for an agent connected to the real environment.
Business Tools
- Custom CRM
- Tailored ERP
- Project Management
- Smart Billing
- Ticketing System
- Analytics Dashboard
E-commerce
- Online Store
- B2B/B2C Marketplace
- Booking Platform
- Integrated Payment
- Automated Stocks
- Customer Loyalty
Automation
- Workflow automation
- Multi-tool integration
- Data Sync
- Auto Reporting
- Smart Notifications
- Document Processing
AI & Agents
- Intelligent Chatbot
- Virtual Assistant
- Predictive Analysis
- Content Generation
- Auto Translation
- Computer Vision
Market data
Companies no longer want demos — they want governed deployment
23 %
des organisations disent scaler un système agentique dans au moins une fonction. Concevoir le workflow, les droits et la supervision reste le vrai chantier.
Source, McKinsey, The state of AI in 202539 %
des organisations expérimentent encore les agents IA sans être passées à l'industrialisation. Le besoin principal est donc le passage du prototype au produit métier.
Source, McKinsey, The state of AI in 2025What is the right next step after a Studio project?
After a Studio project, the next step depends on what needs to be consolidated around the deployed system. Some organisations need to train teams; others need to test further missions; others need to deepen their orchestration and supervision method to expand scope without losing quality.
Train teams before the build
Bring your decision-makers and operators up to speed before deploying a custom agent.
Test a mission before industrialising
Launch a first scoped use case with a short timeline and measurable deliverables.
Understand our orchestration method
See how we define roles, validations, and human supervision.
What to read before launching the build?
These guides help clarify architecture, integration, and security before connecting an agent to your CRM, your data, or your business workflows.
Architecture
Multi-agent Orchestration
How to structure multiple agents without building a fragile system.
Integration
Integrating AI Agents into Your CRM
Best practices for connecting your agents to your business tools.
Security
Security and Compliance for AI Agents
The minimum framework for deploying to production without accumulating risk debt.
Common questions before launching an Agent Studio project
The questions below come up regularly when an organisation wants to move from prototype or intent to a custom AI agent that is genuinely connected, supervised, and capable of improving a business process without adding another layer of technical confusion.
What does Agent Studio actually build?Answer
Agent Studio builds AI agents, connected workflows, and business interfaces capable of reading data, acting within your tools, and remaining supervised. The goal is to turn a precise business need into an operational product — not to deliver a demonstration.
When should we move from piloting or prototyping to the Studio?Answer
Move to the Studio when a use case has already demonstrated its value and needs to become a more durable system. That is the right moment to connect tools, harden rules, clarify supervision, and prepare a long-term operating logic.
Which tools can you connect?Answer
We can connect CRMs, document bases, support tools, communication channels, financial tools, and internal interfaces, depending on the use case. The key point is not just the technical connection, but how data, validations, and actions are orchestrated together.
How do you secure a custom AI agent?Answer
A custom agent is secured with clear permissions, human supervision, validations at the right points, and an architecture that limits what the agent can read, write, or trigger. The Studio integrates this logic from the product scoping phase.
Ready to transform your vision into reality?
Let's discuss your project and discover together how we can create the perfect solution for your company.