01
VALUE
What outcome really needs to change? Connect the idea to revenue, margin, capacity, quality, risk, lead time or customer experience.
AI REALITY CHECK
You have AI projects. Do you know which ones are really worth the investment?
The challenge is no longer finding what AI can do. It is knowing where AI can actually create value for your business.
Bring one AI idea or one AI project. In 20 minutes, we will challenge it together.
One concrete conversation. One initiative. One first decision.
VINCENT BECKER/AI ACADEMY BELGIUM
7 500+professionals trained
100+companies supported
20 minto challenge one idea
The reality
AI is moving fast. Your decisions still need to be clear.
Companies are testing new tools, launching pilots and collecting automation ideas. But something that is technically feasible is not automatically a sound investment decision.
These statements may be right. But they are not decisions yet.
We need to automate our emails.
We need an AI agent.
This process takes too much time.
Our teams need to become more productive.
The right questions
Before talking about AI, ask the right questions.
01
What business outcome do we actually want to improve?
02
What is the real economic pain behind the symptom?
03
What is measured, what is perceived and what is still unknown?
04
Why AI? Is there a simpler solution?
The goal is not to justify AI. The goal is to make a better decision.
One framework, four steps
From intuition to decision.
02
REALITY
What is a fact? A perception? An assumption? An unknown? Do not build a business case on unmeasured certainty.
03
OPTIONS
Before automating: should we remove, simplify, measure, reorganise… or use AI?
04
DECISION
Choose the next move: EXPLORE, MEASURE, TEST or STOP.
A concrete example
Example: “We want to automate our emails.”
AI may be the right answer. It should not automatically be the first assumption.
AI REALITY CHECKSymptom
the team receives too many emails.
Reality Check
how many? What types? How much time is really spent? What are the consequences? What is measured?
Economic pain
lost sales opportunities? slow response times? overload? errors? processing cost?
Options
remove certain messages, change channels, standardise, improve routing, measure… and only then assess AI automation.
The full Reality Check
The full AI Reality Check turns ambiguity into decisions.
Reality Check
facts, perceptions, assumptions and missing information.
Three Decision Cards
a clear view of three priority opportunities.
A decision for each opportunity
explore, measure, test or stop.
90-day roadmap
next actions, validations and measurements.
Executive summary
concise and ready for management discussion.
The right framework
Not another AI audit.
- It is not training.
- It is not a catalogue of AI use cases.
- It is not development.
- It is not an ROI promise based on unverified assumptions.
VALUE / REALITY / OPTIONS / DECISION
It is a decision framework to determine where to move forward, what to measure first and where not to invest too quickly.
Built on experience
Why this Reality Check?
Vincent Becker
Founder, AI Agency Company
Operating across Europe and Africa
After training more than 7,500 professionals and working with more than 100 companies, I repeatedly see the same gap: AI tool adoption is progressing faster than the ability to demonstrate where AI actually creates value.
AI Reality Check was built from that field experience. Its purpose is not to generate more AI ideas. It is to improve the quality of the decisions that come before them.
Vincent BeckerYour next decision
Before investing in your next AI project, let us test one.
Bring a real initiative. In 20 minutes, we will challenge the desired outcome, the economic pain, the evidence level and whether AI is actually relevant.
20 minutes · One real initiative
Book my AI Reality Check — 20 min