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.
Articles
Articles and insights.
Practical guides to the modules of the Innovaq suite, with examples, diagrams and charts.
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.
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.
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.
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.
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.
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.
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.