AI Quickscan in 3 hours: discovering where GenAI delivers immediate value

What exactly is an AI Quickscan?

An AI Quickscan is a compact three-hour work session. Together we look at your organization, your processes and your daily work. The goal is simple: to gain insight into where AI can help and where it cannot.

We don’t focus on tools, we focus on work. On friction. On recurring tasks that are unnecessarily time-consuming or error-prone.

You don’t have to have AI knowledge. Precisely not. The Quickscan is for people who know their processes and want to improve them.

 

This is what those 3 hours look like

 

The session is tightly structured. No long presentations. Lots of conversation, analysis and structure.

 

Step 1: making processes and friction visible

We start with everyday work. What takes time? Where do people get stuck? What tasks are done over and over again?

Think about:
– Reports that are compiled manually
– Emails or quotes that are constantly being rewritten
– Information that is scattered across systems
– Decision-making that is slow due to lack of overview

We deliberately look for friction. Not for perfection.

 

Step 2: repetitive, error-prone and labor-intensive

Next, we zoom in. Which tasks meet one or more of these characteristics:
– Repetitive
– Labor-intensive
– Error-prone

These are often the first places where Generative AI can deliver value. Not by replacing people, but by making work lighter and more consistent.

 

Step 3: Where can AI already support today?

Only now does AI come into the picture. Very concrete. Not future stories, but practical applications that are already possible today.

For example:
– GPT workflows for preparing texts
– Summarize and structure documents
– Support for customer inquiries or internal knowledge sharing
– Control and enrich existing data

We always look at one question: does this really help the work move forward?

 

Working with the Double Diamond model

 

During the Quick Scan we use the Double Diamond model. This means: first get the problem in focus, then look for solutions.

 

Phase 1: Understanding
What is really happening in the process? Where is the delay or frustration?

Phase 2: define
What is the real problem, apart from assumptions?

Phase 3: explore
What AI solutions could logically fit here?

Phase 4: choose
What is realistic, feasible and valuable as a first step?

This approach prevents you from looking for a solution to the wrong problem.

 

What does the AI Quickscan provide?

 

Afterwards you will receive a clear report. Not a thick document, but something you can move forward with.

The report includes:

 

– Clear bottlenecks in your processes
You see where time and attention are leaking away.

– Possible AI solutions
Concretely described, for example, in the form of GPT workflows or supporting applications.

– A clear priority list
Estimated by time, cost and expected value.

– A practical plan of action
Without obligation. You decide what to do with it.

 

Which it emphatically is not

 

• The AI Quickscan is not a demo.
• No sales pitch.
• No tool talk.

 

We don’t install anything. We don’t push anything. We create overview and direction.

The goal is not to automate everything, but to make conscious choices. Where does AI really help? And where is it smarter not to?

 

Who is this Quick Scan suitable for?

 

The AI Quick Scan fits well with organizations that:

– Are interested in AI, but do not yet have a clear starting point
– Want to experiment without a large investment
– Want insight before they decide
– Are looking for practical steps, not strategy documents

Especially for SME organizations, this is often a logical first step. Starting small, but thoughtfully.

 

Standing still for a moment pays off

 

A lot of wasted time is not in big mistakes, but in small repetitions. Work that once made sense, but now chafes. The AI Quickscan is a time to consciously consider this.

Three hours to see where your organization can work smarter. Without pressure. Without obligation.

The question is not whether AI can do anything.
The question is: where do you want it to help?

What would you like to automate, if you could do it smartly?