From our AI service portfolio

From the Right AI Use Case to a Scalable Solution

With Vibe, an AI use case idea instantly becomes something tangible. This doesn’t solve a problem—it merely shifts it: When every idea immediately becomes a tangible result, they all demand the same level of attention—but not every one deserves it. Value is only created when a use case is integrated into day-to-day operations. This is exactly the path we’ll take with you, from the initial criteria to a scalable architecture.

Not every idea deserves a solution

An idea is, at first, an unstructured spark. It deserves attention, but not yet an investment. Whether it will become a viable use case depends on four criteria—not on how convincing the first prototype looks.

That’s why every project begins with discovery: identifying potential opportunities on an AI roadmap, prioritizing them, and narrowing down the strongest candidate to its smallest meaningful scope—the micro use case. Only then does the prototype follow.

Five Steps, One Path

1. AI Discovery

Where can AI create value within your corporate strategy, and how is that value measured? We identify potential opportunities at each stage of the value chain on an AI roadmap and prioritize the candidates.

Format & Output: Discovery Workshop → AI Roadmap, Prioritized Use Cases

2. Use Case Assessment

What is the specific added value, and how do we use AI to achieve it? We break the use case down into its smallest components and outline potential solutions.

Format & Output: Design Sprint → Micro Use Case

3. Vibe Prototyping

What is the level of user acceptance, and is the solution technically feasible? We are validating the concept and incorporating feedback based on real-world tasks.

Format & Output: Build Sprint, User Testing → Living Prototype, PoC, Solution Architecture Recommendation

4. MVP Design (ready to pilot)

What features will be included in the initial product release to make the pilot possible? We define the scope of functionality, select the components for each Agentic AI layer, and establish acceptance criteria.

Format & Output: In-Depth Workshop Sessions, Scoping → MVP Specification Ready for Pilot Testing

5. Solution Design (ready to scale)

How will the solution be integrated and made scalable? We define components, interfaces, and data flows, and incorporate security and operational requirements.

Format & Output: Architecture Review → Scalable Architecture, Integration Concept

Transfer to Production

Construction, pilot testing, and operation are carried out as separate projects. Steps 4 and 5 provide the detailed specifications and architecture for these—either for your internal teams or in collaboration with us.

AI Use Case in 2 Weeks · Go-Live for the Customer After 3 Months · Scaling Begins in the 4th Month · Can Be Integrated Into Any Package

A Talk to Inspire and Spark Ideas: What AI Can Really Do

Whether you’re starting with a specific idea or still need some guidance: Both begin with a conversation.

Let's build something great together