What an MCP server is, and why it matters
The Model Context Protocol is the standard way to connect an AI assistant to business tools and data. What it means in practice, and how to plan your first connections without mistakes.
Enterprise · AI
An assistant that works across every module, respects each user’s permissions and connects to your business tools via MCP server.
From question to decision
Informed decision
01 · Features
Innovaq’s AI isn’t a separate module: it’s the layer that reads data from CRM, People, Sales, Task, Finance, Learning and Regulate, answers questions, prepares documents and carries out actions, always with the user’s confirmation.
Plain-language questions about clients, people, invoices and risks.
Connects AI to your business systems and the tools you already use.
Dedicated models trained on your company’s documents and procedures.
Integration with leading AI services.
Documents, reports and repetitive tasks, with a final confirmation.
Role-based permissions and traceability for every request.
Combines data from several modules in a single answer.
Nothing happens without your confirmation.
Connects to your tools via MCP.
Learns your company’s terminology.
02 · Demo
A real working day, step by step. Sample data.
DEMO · AI
03 · Our approach
04 · Calculate benefits
05 · Resources
Practical guides to how AI works day to day, with examples, diagrams and charts.
The Model Context Protocol is the standard way to connect an AI assistant to business tools and data. What it means in practice, and how to plan your first connections without mistakes.
Off-the-shelf models are ready to use and powerful; a dedicated AI knows your company’s language better. How to choose, and why the best answer is often a combination of the two.
AI-driven automation is only useful if you can trust it. The principle of AI that prepares and a user who confirms, and how to apply it when designing workflows.
Bringing an AI assistant into everyday work is not just a technology question. Use cases, permissions, sources, training and governance rules: where to start and what to avoid.
An assistant that answers in natural language is only as useful as the questions it receives. How to phrase requests, read the sources and recognize when an answer needs a closer look.
Companies using AI have clear responsibilities, both for personal data and for the AI systems themselves. A practical reading of the GDPR and the AI Act for those who have to decide and organize.
An assistant only answers well if it reads tidy, up-to-date documents. How to sort out archives, versions and ownership before connecting them, without turning it into an endless project.
The request log is not just for audits. Read methodically, it shows what people really ask, where the assistant falls short and which automations are worth building.
Innovaq is a company in its launch phase.