Does the solution stay GDPR-aware?

Yes. We keep data and processing in the EU, work with clear roles and access, and document cleanly. Data protection is part of the scope from the start, not a later add-on. We also factor in the AI competence duty under Article 4.

AI implementation means turning the prototype into daily work

AI implementation that takes the prototype into production.

Many companies have tested an idea or built a prototype, but it only runs in a test window, not in daily work. That is exactly where AI implementation comes in. We take the validated prototype into production, with the needed integrations, clear access and a clean handoff. A good idea becomes a solution that the team really uses, every day, on real data and in your existing systems.

Book a strategy call How it works

Next step Book your strategy call directly at our booking calendar or email info@ki-agentur.co.

What you gain

You gain the step from trial to operations.

Instead of a prototype that disappears in a drawer, you get a production solution that saves time and reduces manual work.
Because the scope is clearly defined upfront, the project stays predictable and the risk stays low.
Your team works with the solution instead of first having to understand it, because we document and hand over cleanly.
That is how the groundwork from the workshop or the first idea finally pays off.

What implementation includes

Implementation is more than a deployment. It covers integration into existing systems such as CRM, inbox, ticketing or data sources, clear roles and access, tests and safeguards, plus documentation and the handoff to your team. We make sure data and processing stay in the EU and the solution runs GDPR-aware. At the end there is no test setup, but something that carries daily work.

How implementation runs

Strategy call
We look at the prototype and the target systems.
Scope
We lock integrations, access and the scope.
Integration
We connect the solution to your systems and secure it.
Test and release
We check with real data and release.
Handoff and operations
We document, do a short onboarding and support the start.

AI implementation with fixed scope vs. an open IT project

An open IT project tends to grow in scope while the point of production use stays unclear.

We work with a fixed scope that locks integrations and goal upfront, so you know what you get and when.
The handoff is part of the scope, not a later add-on, and data protection is considered from the start.
That makes implementation predictable and lowers the risk noticeably.

AI implementation with fixed scope vs. an open IT project
Criterion	Open IT project	AI implementation (fixed scope)
Scope	often grows	clearly defined upfront
Time to production	unclear	predictable, short
Risk	high	low
Handoff	often open	part of the scope
Data protection	separate	considered from the start

Book your strategy call at our booking calendar or reach us at info@ki-agentur.co.

Book a strategy call

Book your strategy call via the calendar: Book a strategy call. Alternatively, reach us by email at info@ki-agentur.co.

Pick a slot right in the calendar
Clarify your use case and goals together
A clear next step after the call

Or send an email to info@ki-agentur.co

Pick a free slot.

Frequently asked questions

What is the difference between implementation and development?

Implementation takes an existing prototype into production, with integrations and handoff. Development builds new, custom software from the ground up. If your prototype stands, implementation is the fastest route to production use. More on development at AI development that takes a prototype to real software.

Do you need a finished prototype?

Not necessarily. If a prototype exists, we start there. If not, we build it first in a workshop or as a short build and then implement. That keeps the path from the first result into operations from one source, without friction.

How long does an implementation take?

That depends on the integrations and the target systems. Because the scope is clearly defined upfront, you get a predictable timeframe instead of an open project. You get a concrete picture after the strategy call, where we look at prototype and systems.