innovaq

Enterprise · AI

The intelligence that connects the whole suite.

An assistant that works across every module, respects each user’s permissions and connects to your business tools via MCP server.

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From question to decision

  1. 01
    Question in plain language As you would ask a colleague
  2. 02
    Search across authorized data Every module, within your permissions
  3. 03
    Answer with sources Every figure links back to its record
  4. 04
    Suggested action Documents, reminders or updates ready to go
  5. 05
    User confirmation Nothing goes out without your go-ahead

Informed decision

01 · Features

The goal

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.

Key features

Conversational assistant

Plain-language questions about clients, people, invoices and risks.

MCP server

Connects AI to your business systems and the tools you already use.

Custom AI

Dedicated models trained on your company’s documents and procedures.

Off-the-shelf models

Integration with leading AI services.

Automations

Documents, reports and repetitive tasks, with a final confirmation.

Protected data

Role-based permissions and traceability for every request.

Key benefits

01

Cross-module answers

Combines data from several modules in a single answer.

02

Always in control

Nothing happens without your confirmation.

03

Open

Connects to your tools via MCP.

04

Custom

Learns your company’s terminology.

02 · Demo

AI in action.

A real working day, step by step. Sample data.

DEMO · AI

An assistant that knows your whole business.

03 · Our approach

How we work with you.

01 / 05

04 · Calculate benefits

What it could be worth to your company.

05 · Resources

Articles and insights.

Practical guides to how AI works day to day, with examples, diagrams and charts.

Technology · 3 min read

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.

Read the article →

Strategy · 3 min read

Custom AI or off-the-shelf models?

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.

Read the article →

Governance · 3 min read

AI that asks first: automation with the user at the center

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.

Read the article →

Adoption · 3 min read

Introducing an AI assistant into your business: a practical guide

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.

Read the article →

Everyday use · 4 min read

Asking questions of your business data: how to get answers you can trust

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.

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Regulation · 4 min read

The AI Act and the GDPR: what to know before using an assistant at work

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.

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Data · 4 min read

Getting your documents ready for AI: archives, versions and reliable sources

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.

Read the article →

Method · 4 min read

The request log: measuring and improving your assistant

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.

Read the article →

Innovaq is a company in its launch phase.