Done, not assisted
An assistant helps with drafting. The work stays with you. The CoWorker knows your business and completes the case itself.
AI Comparison for Businesses
Copilot and Gemini make your tools more convenient, while an AI CoWorker from utxo AG completes the task.
Why existing tools fall short
Off-the-shelf tools like Copilot make existing software more convenient. The chatbot sits next to your systems. It never gets inside. The actual work stays undone.
Classic automation only works while the case fits the pattern exactly. A different phrasing, missing context, one exception, and the flow breaks off.
Every session starts from zero, with no access to your systems. And they'd rather offer a plausible guess than an honest follow-up question.
Per-user pricing grows with the team, including everyone who barely opens the tool. Costs start immediately, measurable improvement rarely follows.
Head-to-head comparison
Neither approach is universally better. They solve different problems. The key question: what outcome do you actually need?
From request to result
No prompt engineering, no copy-paste. The CoWorker takes the task, works inside your systems, and hands over a finished result.
Email, inquiry or case, in plain language. No form, no special command.
The CoWorker knows your business, accesses CRM, ERP and inbox, and moves the case forward on its own.
Reply sent, system updated, meeting booked, logged and auditable at any time.
The decisive differences
An assistant helps with drafting. The work stays with you. The CoWorker knows your business and completes the case itself.
The CoWorker remembers customers, cases and tone of voice. A chatbot starts every session from scratch.
Your data is never used for training. Hosting to your requirements: Germany, the EU or on-premise. We assess local models project by project.
A fixed price for development, a predictable subscription for operations. The success criterion is set before the project starts.
An honest assessment
Not every company needs a CoWorker. Not every problem justifies a custom development effort. Here is our honest take.
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