Question 1

How does on-demand collaboration work?

Accepted Answer

We start with intake and a high-level estimate, then deliver iteratively with clear reviews and acceptance checkpoints.

Question 2

How fast can an MVP or prototype be delivered?

Accepted Answer

It depends on scope. A focused prototype is often possible within a few weeks when data access and decision-makers are available.

Question 3

How do you estimate effort and cost?

Accepted Answer

We estimate transparently by work packages and uncertainty. Billing is hourly based on actual demand.

Question 4

What does tailored really mean?

Accepted Answer

No template logic: We model data, workflows and UI around your real operating process.

Question 5

What does local AI mean and where is data stored?

Accepted Answer

By default, solutions run in controlled infrastructure in Germany/EU. Alternative models require explicit alignment.

Question 6

How does internal knowledge search (RAG) work in simple terms?

Accepted Answer

Relevant internal sources are indexed. The AI answers based on your content rather than generic, uncontrolled output.

Question 7

Document analysis: what can be classified or extracted?

Accepted Answer

Examples include document type, deadlines, amounts, contacts or case numbers. Scope is defined per use case.

Question 8

Why .NET and not another technology?

Accepted Answer

.NET offers stability, performance and long-term maintainability for business-critical applications. Together with MSSQL, Angular and clean APIs, it creates an architecture your team can evolve over time.

Question 9

Integrations and APIs: how do you connect existing systems?

Accepted Answer

Through stable interfaces with clear contracts, authentication, monitoring and proper error handling.

Question 10

Quality: reviews, tests, monitoring - what is your standard?

Accepted Answer

We use code reviews, automated testing and traceable logging. Quality is part of delivery, not an afterthought.

Question 11

How do operations and ongoing support work after go-live?

Accepted Answer

We prioritize jointly in a backlog, iterate transparently and keep documentation current for long-term maintainability.

Question 12

Data protection and compliance: what is your pragmatic approach?

Accepted Answer

We make data flows, access and deletion policies transparent. Legal assessment remains with your legal counsel.

Questions we hear most in intro calls

Questions we hear most in intro calls