---
title: "Data governance for AI | Digital Cuisine"
description: "We organise sources, responsibilities and access before AI works with them. For a knowledge base whose origins and maintenance are traceable."
url: "https://cuisine.digital/en/services/data-governance"
lang: en
generated: cuisines-markdown-v1
---

AI consulting for businesses

# Good answers start with data.

We organise sources, responsibilities and access before AI works with them. For a knowledge base whose origins and maintenance are traceable.

[Request an initial AI conversation](https://cuisine.digital/en/contact?thema=Data%20Governance)[View our work](https://cuisine.digital/en/references.md)

![Linde](https://cuisine.digital/images/projects/linde-global-website-relaunch/logo.webp)

## Copilot governance & platform architecture

Copilot governance for Linde: platform architecture, approval processes and a dashboard for agent inventory, usage and lifecycle.

View project 

[View project](https://cuisine.digital/en/linde-copilot-governance.md)

International data provider

## Copilot agent as a product in the Microsoft Store

Copilot agent in the Microsoft Copilot Store: Graph Search Connectors, Python data preparation, custom SharePoint search.

View project 

[View project](https://cuisine.digital/en/copilot-store-agent.md)

Financial services provider

## Data protection for Copilot use

DPIA for Microsoft 365 Copilot at a financial services provider: data flow analysis, risk assessment, measures and decision documents.

View project

## For distributed and sensitive company information

An assistant can expose existing permission problems more quickly. That is why we examine not only search technology, but also data classification, access and maintenance.

Depending on the environment, we use existing tools such as Microsoft Purview and add missing rules. Business departments and IT retain clear responsibilities.

## What you receive

**Classification and permissions** Identifying sensitive content and suitable access rules.

**Metadata and provenance** Describing the meaning, quality and origins of information.

**Lifecycle** Building updates, retention and deletion into the AI solution's workflow.

## Frequently asked questions

### Do we need to replace the data platform?

Not as a rule. We assess which existing systems and rules can already be used.

### Is this only an IT task?

No. Data owners in business departments are important for the meaning, quality and maintenance of content.

The next step

## How well organised is your data?

Tell us about your idea or challenge. Together we work out what makes sense and how we can support you.

[Book a call (30 min)](https://outlook.office.com/book/AIcuisine@cuisine.digital/)

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