Enterprises

Equip your team with a culture advisor:


A culture advisor

A culture advisor lives inside the AI provider your company already offers — ChatGPT, Copilot, Gemini — or any other platform. No new software. No new login.

When a colleague encounters a situation shaped by cultural differences, the culture advisor explains what’s happening and provides advice on how to move forward.


What we provide

Cultural Intelligence. 38 countries, 24 topics, written in natural language, optimized for AI embedding. Example

Advisor Instructions. A document defining how the advisor behaves. Paste it into your AI platform’s system prompt. Customize it if needed. Excerpts

Presence Playbook. A guide for introducing the advisor to your team, keeping it visible, and integrating it into your workflows. A culture advisor only works if colleagues use it. Excerpts

Application Exercises. Structured formats for team learning. Use them to move cultural intelligence from individual queries to shared understanding. Example


How deployment works

Deployment takes one person, one day. They create the advisor in your existing AI platform, upload the files, paste in the instructions, and test it. Five Minutes

The advisor is now accessible. An introduction goes out: here is our culture advisor, what it does, how to reach it.

The internal person follows the playbook — especially at key moments: new projects, new teams, critical situations.


What it costs

€99 per team member per year. Flat. All countries. All topics. All updates included.

No usage meters. No per-country charges. No fee for implementation. The deployment package is included.

A culture advisor delivers value in four areas. Value


Try it first

The advisor on this site runs on the same intelligence your culture advisor would use. Test it with real situations.

If the explanations and advice are useful, imagine every team member having access — each and every day.

Like what you’re experiencing? Contact us about deploying for your team — or about hands-on support for your first implementation.


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