How should a business choose its first AI project?
A business’s first AI project often shapes what happens next.
If it is too ambitious, it can consume significant effort without producing a clear result.
If it is too simple, it may teach very little.
The right first project should be useful, measurable and limited enough to test quickly.
Do not start with technology
A poor starting point is:
“We want to install AI.”
A better starting point is:
“Our sales team spends several hours every week finding information and preparing follow-ups.”
The second statement already contains a problem, users and a measurement opportunity.
Seven questions
BEXTIO recommends seven questions.
1. Is the problem clear?
It should be possible to describe it without mentioning AI.
2. Can the current situation be measured?
Time. Cost. Error. Volume. Delay. Conversion rate.
3. Does the required data exist?
The documents or data needed should be available and sufficiently reliable.
4. Are the users identified?
A project without committed users can quickly become a demonstration.
5. Is the risk manageable?
For a first project, high autonomy is usually unnecessary.
6. Can human validation remain in place?
The business should be able to compare AI output with competent human judgment.
7. Is there a decision at the end?
The pilot should lead to: stop, redesign, extend, scale or industrialize.
A simple selection framework
Each project can be assessed according to:
VALUE
FEASIBILITY
DATA
RISK
ADOPTION
MEASURABILITY
TIME TO EVIDENCE
The priority project is not always the one with the highest theoretical potential.
It is often the one with the strongest combination of value and execution capacity.
Examples of good first pilots
- document search;
- sales preparation;
- case-file summarization;
- operations assistance;
- customer-feedback analysis;
- management reporting.
These are usually easier to test than autonomous systems directly influencing significant decisions.
The real objective of the first project
The first project should not only produce an outcome.
It should teach the business how to:
- scope;
- measure;
- test;
- document;
- correct;
- decide.
That capability will make future projects faster and stronger.