Don’t just adopt AI. Transform the business.

CosBE: AI transformation for small and mid-sized companies

There’s a reason AI alone changes nothing

You’ve started using ChatGPT at work. It’s useful in places. But the numbers haven’t moved, and no one can tell you whether this is the right direction.

The difference isn’t how you use AI. It’s whether you redesign the business around it.

What sets apart the companies that actually change?

The CosBE AX methodology

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Rebuild how the business runs, with AI

Three strengths of CosBE

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“Business perspective” We start with the business problem, not with AI.

We design AI’s role around what makes your company distinctive, across strategy, operations and organization.

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“Technical capability” We don’t just pick AI tools. We build what’s needed.

Beyond LLMs, we combine image recognition, machine learning and data infrastructure to turn complex business problems into systems that actually run.

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“Proven methodology” A repeatable method that works with what makes each company different.

A method built from real projects with small and mid-sized companies: from defining your distinctive value to MVP, adoption on the ground, and redesigning operations and organization.

Case Studies

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Manufacturing

Distinctive value: High-quality, short-lead-time delivery from production to shipment
Challenge: Sales capacity dropped after veteran salespeople retired
Solution: An AI sales agent judges machining feasibility, quotes, confirms delivery dates and takes the order
Result: AI handles small-lot, small-value orders while limited sales staff focus on complex, large deals

Construction

Distinctive value: Management capability in construction
Challenge: Establishing a new pillar of business growth
Solution: Developed a service that turns management know-how into a general-purpose AI offering
Result: Launched a new business in a short period

Consulting

Distinctive value: Hands-on corporate turnaround
Challenge: Creating Excel tables from certified copies of corporate registers took an enormous amount of time
Solution: Rule-based processing combined with AI delivers accuracy an LLM alone cannot guarantee; users just upload large batches of registers
Result: Freed valuable consultants from repetitive manual work