Your AI calls UC when a question involves culture.
Your AI isn’t enough
For the first time, an AI can help people understand cultural differences while they work, at the moment they need it. But it cannot do this on its own.
Left to its training, your AI repeats the etiquette tips and the stereotypes it has seen most often. It also agrees with whatever view the person brings to it. The answer sounds fluent and confident, but it is shallow.
That is the first problem, and it is easy to see. The second problem is harder to see. Your AI can only answer the cultural questions people think to ask, and most are never asked.
When something goes wrong between colleagues, people usually think either incapable or unwilling, sometimes both. They do not suspect culture. So your AI looks reliable, because it is judged on the questions it receives, not on the many it never receives.
How it works
An engineer in the United States writes to a colleague in Germany. Something between them is not working. He asks your AI assistant for help.
Your assistant sees that the question involves culture. It identifies the country and the topic, and then asks UC.
UC sends back the research. What the pattern is, how it appears in daily work, and a link to the page it comes from.
Your AI assistant writes the answer and includes the link. The engineer reads it in the tool he was already using. If he wants to see the analysis and the evidence, he clicks.
One question. One call. One answer. That is the whole process.
Why it’s better
An AI that answers from its training alone has one basic problem. It is guessing. Give it researched material to read, and the guessing stops.
It cannot check facts. An AI has no way to verify what it tells people. With UC it does not need to. Human beings research the material, write it, and check it before your AI ever sees it.
It cannot judge sources. Left to its training, an AI reads advice articles, blog posts, expat forums and marketing material. The claim that appears most often wins, not the claim that is most accurate.
UC works differently. Every statement about a culture has been researched, is supported by evidence. A law. A study. A court decision. A public statement. A news report.
The evidence sits on the page directly under the statement, where anyone can read it. We choose and weigh the sources before your AI sees them, and the link in the answer leads back to them.
It reads one culture through another. This is the most important point. Left to its training, an AI describes a low-documented culture using the assumptions of a high-documented one. Our research is done the other way. Each culture is described on its own terms.
Its knowledge is fixed. A language model stops learning on a certain date. Our research does not. We add to it and improve it continuously.
It invents. When an AI has no information, it fills the gap, often making things up. With our research in front of it, there is little left to invent.
It can show where the answer came from. A correct answer and a wrong answer can look the same when the source is hidden. Here the source is named. Your colleagues see that the answer comes from UC’s research, and the link takes them to the analysis and evidence.
What you get
The intelligence. Research on how people in a culture think and work. Not etiquette, but the reasons behind the behaviour. It is written in plain language and organised so that an AI can read it and use it directly.
The recognition rule. The research only helps if your AI knows when to use it. We supply a draft recognition rule to start from, and we improve it as we see how it performs across clients. Your teams adapt it to the way they work.
Access for your people. Anyone with an email address at your company can register on UC and read all of the research, country by country, topic by topic, with the evidence under every statement. There is no charge, no seats to buy, and no list to maintain. It is part of the agreement.
The site also has a culture advisor for talking a situation through. That is a separate personal subscription, and your people are free to take it or not. Reading the research needs nothing beyond their work email.
What you give
Your AI sends UC two pieces of information. A country and a topic. Nothing else.
Not the question. Not the message. Not the situation. Not the person. What colleagues write stays inside your system.
Your own team writes the connection to UC, so you do not have to trust us on this. Your people can read their own code and see exactly what it sends.
UC has no access to your system, no account in your environment, and no software running on your side. If UC does not answer, your AI writes its reply as it would have done anyway.
What it costs
One fee for each call. Not per user, not in tiers, and not negotiated. Under the fee per call there is a fixed annual minimum. If your calls cost less than the minimum, you pay the minimum. If they cost more, you pay for the calls.
Access to the research for everyone at your company is included.
We invoice every three months, after the fact, based on UC’s record of the calls. You can see that record. How many calls, which countries, which topics, and how the number changes during the year.
That record is useful on its own. It shows you where cultural difficulties actually arise in your organization, measured rather than guessed.
The fee per call does not rise as your use grows. You are not penalised for using UC more, and there is no renegotiation when the agreement renews.
Where it stands
The research exists and is used every day through our own advisor. What is new is this way of reaching it. No company is using it as of yet, and you would be the first.
Nothing here is difficult to undo. Your own team writes the connection. If you stop, you remove the rule and the calls stop. There is no system to shut down and no data of yours to recover.