Paid engagement · 2 to 3 weeks
Before any project, know where AI pays for itself.
The AI Opportunity Diagnostic looks at how your company runs and shows where AI raises revenue or cuts costs, with KPIs to track and an estimated return for each opportunity. We share the price on the 40-minute call.
Report: illustrative example, synthetic data. AI-generated photo.
Before you hire us
Who it’s for
- Companies that have grown and feel operations bottlenecked on the owner or a few key people.
- Owners who have tried technology before and don’t want another bet without numbers behind it.
- Owners who need to decide where AI goes first, with an estimated return before any project starts.
Four stages, in 2 to 3 weeks
How it works
It grows out of the 40-minute call: if the call shows there is a real opportunity, the Diagnostic proposal follows. Four stages, over 2 to 3 weeks.
Stage 01Week 1
Diagnose
Interviews, data and documents to map how your processes work today and where time and money are being lost.
Stage 02of 04
Solve
For each process: what to automate, where AI only assists and what stays human, following the Golden AI Ratio.
Stage 03of 04
Quantify
KPIs to measure each opportunity, and the math on how much it raises revenue or cuts costs.
Stage 04Weeks 2 to 3
Price
Prioritization by value and effort, with quick wins first and the estimated return of each wave.
The report your company keeps. Illustrative example, synthetic data.
When the weeks are up
What you get
Process mapping
How your operation runs today, where it gets stuck and who depends on whom.
Quick wins
What can go into production first, with little effort and a visible return.
KPIs
How to measure each opportunity before and after, so nobody has to rely on gut feeling.
Estimated ROI
How much each opportunity raises revenue or cuts costs, with the assumptions written down.
Golden AI Ratio per process
Roughly 60% automated, 30% AI-assisted and 10% human, process by process.
Report
A document your company keeps, bringing all of this together for the decision.
If it makes sense to keep going
After the Diagnostic
Next · 01
Custom project
In waves: a proof of concept in about 2 weeks, a first version in use in 4 to 8 weeks, then production.
Next · 02
Ongoing improvement
Maintenance, new automations and KPI tracking once the system is live.
Frequently asked questions
Questions about the Diagnostic.
How long does the Diagnostic take?
2 to 3 weeks, depending on the size of your operation and the number of processes analyzed.
Is the Diagnostic a paid service?
Yes. The AI Opportunity Diagnostic is a paid engagement, and we share the price on the 40-minute call, which is free.
What do I get at the end?
A report with the process mapping, the quick wins, the KPIs, the estimated return of each opportunity and the Golden AI Ratio per process.
Do I have to hire you for the project afterward?
No. The report stays with your company and is there to support the decision. If it makes sense to move forward with ZexIA, the project is done in waves, starting with the quick wins.
Who from my company needs to take part?
The people who make the decisions and the people who run the processes being analyzed. A few short interviews, plus access to the data and documents that show how the operation works.
How is my company’s data handled?
We access only what the analysis needs, the data is stored in isolation, and none of it is used to train public models.
Next step
The first step is a 40-minute call. It’s free.
On the call you’ll see whether the Diagnostic makes sense for your operation, and what it costs.