What data do I need for prototyping?

Real data from the target process, also anonymised or pseudonymised. The more realistic the data, the more meaningful the prototype. We clarify together in the kick-off what is available and sufficient.

Service in Detail

AI Prototyping: Prove the concept in 2–4 weeks — before you release the full budget.

Many AI projects fail because planning goes on too long on paper instead of testing early. In prototyping we build a working demo of your concrete use case — with real data, real interfaces, and measurable results.

Request Prototype Potential analysis first?

⏳ Time-to-Demo

2–4 weeks

Investment

from €4,500 (1 use case)

Method

Rapid Prototyping
with real data

Deliverables

Working prototype, test protocol, Go/No-Go recommendation

What an AI prototype really delivers

Prove technical feasibility

Does the idea work in your infrastructure? Does the AI do what it is supposed to — or does it need adjustments?

Measure quality

Accuracy, speed, error rate — measured with real data, not estimated.

Convince stakeholders

A working demo is more convincing than any concept paper.

Create investment certainty

Based on the prototype you decide whether and how much to invest in the full implementation.

Prototyping Process in 4 Phases

Sharpen the Use Case

Exact definition: Which input, which output, which system? We set clear success criteria (accuracy, latency, format) before we build.

Data & Interfaces

Clarify data access, anonymise if needed, set up test API access. The foundation for a valid prototype.

Build & Iterate

Weekly demos. We build, measure, adjust. No black-box development — you see progress live.

Validation & Decision

Final test protocol, quality proof, cost-benefit estimate, and a clear Go/No-Go recommendation.

Frequently Asked Questions about AI Prototyping

What is the difference between prototyping and implementation? +

A prototype proves that the idea works — in limited scope, without full system integration. Implementation follows on the basis of validated findings.

What does an AI prototype cost? +

A focused prototype (1 use case, real test data, working UI) from €4,500. More complex data integrations: €7,000–12,000.

Can the prototype go directly into production? +

Rarely without modifications. Prototypes are optimised for validation, not for production load and security requirements. Structured implementation follows validation.

What data do I need? +

Real data from the target process, also anonymised. The more realistic, the more meaningful the result. We clarify together in the kick-off what is sufficient.

Your first AI prototype in 4 weeks?

Talk about your use case in a free initial consultation — and find out whether prototyping is the right next step.

Request Initial Consultation

Concrete Offer

What you get, how long it takes, and how risk is reduced.

90-Day AI Pilot

Result: Use case, prototype, test with realistic data, governance, team feedback, and rollout decision.
Timeframe: 6-12 weeks
Price anchor: from 4,900 EUR
Best fit: Best when you want evidence before a larger rollout.

Risk reduction

Pilot before rollout
Human-in-the-loop and fallback rules
Documented data flow and handover

Proof material

Review sample deliverables before deciding: pilot report, implementation plan, prompt and fallback set, handover documentation.

View work examples

Standard process

Maturity check and initial consultation
Scoped pilot with realistic data
Rollout decision and handover

Not included by default

External licenses, large-scale data cleanup, major ERP/CRM rebuilds, and legal case-by-case advice are scoped separately before project start.

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