Topic overview
All articles on AI strategy and compliance
Every amber article on data protection, regulation, rollout and choosing AI for your company.
This page lists every amber article that helps you use AI in your company safely and with a plan. The first group covers data protection, the AI Act and data sovereignty. After that come planning the rollout, finding and assessing use cases and choosing software, with market overviews and comparisons of amber with other vendors. Each card links straight to the article. If you are new to the topic, start with the intro article.
Start here: GDPR-compliant AI for businesses: 4 legal requirements · At amber: Security and data protection
On this page: Data protection and regulation · Rollout · Use cases and value · Software and vendors
Data protection, regulation and data sovereignty
What the GDPR and the AI Act require from you and why server location alone is not enough.
Start here
GDPR-compliant AI for businesses: 4 legal requirements that matter
The place to start: the four GDPR requirements for AI in your company, from the legal basis to the data protection impact assessment.
AI compliance in the enterprise: a guide to safe AI use in 2026
The AI Act, the GDPR, works councils and shadow AI: a practical framework with deadlines and a checklist.
Cloud or on-premise: advantages and disadvantages
How cloud, on-premise and private cloud differ and what the choice means for your company.
Why digital sovereignty is not the same as GDPR compliance
Why server location is not enough and what decision-makers should check to stay in control of their data.
The AI Act and AI training: what companies need to know
Which obligations the AI Act brings in each phase, including mandatory AI training for employees.
Shadow IT: how to spot the risks and fix them safely
Which risks shadow IT poses for data protection and compliance and which strategies help contain it.
Private AI: should you train large language models on your own data?
Whether training your own language models pays off and which alternative enterprise search offers.
What does the AI Act mean for the use of AI in companies?
The challenges the AI Act creates for companies and what they mean for your AI projects.
Planning and running the rollout
From strategy to guidelines and checklists to the mistakes you should avoid.
Defining a digital strategy: best practices for companies
Who defines and implements a digital strategy and what role AI plays in it.
7 tips for defining and implementing an AI strategy for companies
What a sustainable AI strategy needs and when standard or custom solutions fit.
Introducing generative AI: success factors for companies
Which basics and requirements matter in a rollout, with tips for choosing a tool.
AI introduction checklist: rolling out generative AI successfully
The checklist for users, data and requirements before you introduce an AI solution.
Introducing AI in your company: people and technology
The in-depth article on rollout: use cases, internal data, data protection and your employees.
AI guideline for companies: free template to download
What belongs in an AI guideline for employees, with a template you can download.
New Work with AI: simply think differently
How AI changes the way people work and how companies choose employees.
3 mistakes that make generative AI projects fail and how to avoid them
Why AI projects keep failing on data quality, preparation and software selection.
Technical foundations for introducing generative AI in companies
The technical prerequisites you need if you want to use generative AI in your company.
Finding use cases and proving value
How to find the right use cases, prioritize them and put a number on the value.
The company brain: why your knowledge layer decides AI success
Why enterprise AI does not need another tool but its own knowledge layer.
Identifying and prioritizing AI use cases in companies
Two frameworks that help you find use cases and prioritize them sensibly.
Example: how to define an AI use case
A concrete example shows step by step how to define a use case for your company.
What hard-to-find knowledge costs every year
How much time internal search costs and how to calculate the business case for a solution.
Minimize business risk by providing information
How missing information turns into business risk and what good information provision does about it.
The hidden costs of hard-to-find knowledge
Which costs arise when employees spend their time searching instead of finding.
Choosing software and comparing vendors
Market overviews, questions for your selection and comparisons of amber with other vendors.
Overview
The 11 best AI platforms for companies in 2026
The market overview: eleven platforms compared, with types, selection criteria and typical use cases.
Langdock alternative: amber and Langdock compared
How amber and Langdock differ in approach, integrations and data handling.
neuland.ai alternative with deep integrations
What amber offers as an alternative to neuland.ai, with a focus on integrations into existing IT landscapes.
European Glean alternative for established IT landscapes
What amber offers as a European alternative to Glean for IT landscapes that have grown over time.
MeinGPT alternative: amber and MeinGPT compared
Features, integrations and who each solution suits.
Blockbrain alternative for established IT landscapes
What amber offers as an alternative to Blockbrain, with a focus on deep integrations.
AI for companies: the 8 best AI tools in 2026
Eight tools for knowledge, meetings, content, finance and IT, plus how to choose one and keep company data safe.
When building your own solution pays off and when standard software is the better fit.
Questions to ask when selecting AI software for your company
Questions on use, usability, features, data, data protection, operations and consulting.
More topics
The other topic overviews, the blog and our customer projects.
How search inside a company works, how to choose and roll out a solution, plus tips for SharePoint, Confluence and Outlook.
How companies capture, share and find their knowledge, from the guide to software and AI.
What AI agents and AI assistants can do, how to roll them out and which alternatives to Microsoft Copilot exist.
Interfaces like MCP, RAG and context for enterprise AI, plus the basics of generative AI.
All articles by date, with search and a category filter.
Customer stories and industry solutions: how companies use amber in their daily work.