CBTW is officially joining Anthropic’s Claude Partner Network.

We are training every one of our engineers, in every country we operate in, to build and deliver natively with AI. Because our entire workforce now operates at this standard daily, we bypass fragile API wrappers and isolated pilot programs and adapt everyone to the new reality of creating code.

For our customers, this comprehensive training changes the reality of delivery.


From AI experiments to production-grade engineering

AI can speed up development. Its real value comes when teams know how to use it with structure, discipline, and control.

CBTW helps engineering organizations turn AI-assisted development into a reliable delivery model. We support clients in moving from early experiments to production systems that can handle real business, technical, and operational constraints.

What changes when engineers master AI natively

When AI becomes part of the engineering standard, teams can focus on the questions that matter before a system reaches production.

• How much autonomy should an agent have?

• Where does the trust surface begin and end?

• How do we reduce the cost per correct outcome?

• How do we contain hallucinations before they create business risk?

• How should systems degrade when something goes wrong?

• How do teams keep control as AI becomes part of delivery?

The difference between a demo and a production agent is everything that happens when it goes wrong.
Enterprise AI infrastructure needs engineering discipline, clear operating rules, and teams that understand how to build with AI from the inside.

CBTW brings this standard to AI-assisted software delivery, helping clients design systems with the right level of control from the start.

Let’s discuss your AI delivery model

AI-native engineering can support your software delivery, platform strategy, or agent deployment roadmap.

Fill in the form and our team will contact you to discuss your current setup, your priorities, and the next steps to move from experimentation to controlled deployment.