AI implementation
First you assess what the company can absorb. Then you pick the tool. The other way around is how you end up with licenses nobody owns.
Institutional definition
What this line is
Data Voices' consulting is AI implementation: measuring maturity, upskilling the team, and rolling out a concrete process. It includes training programs (modules 0 to 9, 12–80 hour packages, groups of up to 30 people) when the bottleneck isn't the model, it's that nobody uses it.
Method
Method
01
Maturity
Which processes, which data, which permissions.
02
Upskilling
Training for the role that will operate it, not a generic seminar.
03
Implementation
One case in production.
04
Report to whoever's paying
Adoption and, when measurable, impact.
05
Follow-up
So it doesn't fizzle out after thirty days.
06
Training
Modules by function: leadership, marketing, finance, government, automation, change management. Booked individually or as a program. Stated credential: 100+ classes delivered in Argentina, Mexico, and Ecuador.
FAQ
Frequently asked questions
Is it training or a project?
Both, in that order, when the team isn't ready. Project alone, if the team already operates.
Is the diagnostic the product?
No. It's the filter. The product is a process up and running.