We translate an owner’s ambition into a blueprint for change.
Strengthen your distinctive value with AI. Rebuild how the business runs with AI. Because we translate an owner’s ambition into a blueprint for change.
Adopting AI and transforming the business with AI are not the same thing
Typical AI adoption
- Aims to make existing work more efficient
- Used by individuals or single departments
- AI applied at isolated points
- Work processes and the business model stay the same
AI Transformation
- Aims to solve business problems
- Extends to customer touchpoints and new businesses
- AI applied across whole processes and functions
- The business model and organizational design change
How CosBE AI transformation works
We move step by step, based on the CosBE AX methodology, to deliver real business change.
- 1
Strategy
Re-examine what makes your company distinctive and set the direction for AI. Translate the owner’s ambition into a blueprint for change.
- 2
Pilot (MVP validation)
Build a small AI that actually runs and test it in real operations. The first cycle gives you the evidence that this will work.
- 3
Scaling
Take what you learned across departments and company-wide. Connect multiple AIs and redesign the whole workflow.
- 4
Business model transformation
Move to a business structure and model built on AI, where your distinctive value keeps getting stronger.
CosBE AI Transformation
Four principles of success
Issue First
Start with the problem
Start from the business problem to be solved, not the technology. Work backwards from “what should change”, not “what can be built”.
Lean & Agile
Start small and improve fast
Build a minimum viable prototype quickly and iterate. Not a grand plan, but a way of building conviction step by step.
A network of small AIs
Combine small, specialized AIs
Connect AIs built for specific tasks instead of one all-purpose AI. Flexible, easy to update and cost-efficient.
Built around the people who use it
Improved by feedback from the front line
Feedback from the field feeds back into AI learning, so accuracy keeps improving. Designed to grow through use.
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
Get in Touch
Not seeing results from AI? Not sure where to start? That doubt is where the design begins.