Adrián Villaseñor
Co-founder · CEOLeads the firm and each client relationship, and reviews and signs off the milestones we deliver.
Team
Why Criterium AI exists.
Large enterprises are spending on AI and systematically failing to turn that spend into measurable, defensible results. We founded Criterium AI to close that gap.
The failure is almost never the model. It is the absence of evidence standards, clear success criteria, continuous measurement, and the willingness to stop what isn't producing a return. Another tool or another deck doesn't fix that.
That is why we chose not to build custom software. If our revenue depended on building, we could not tell a client not to build. Our obligation is one of means: apply the method, document the evidence, and say in writing when something should not be done.
We want it to be normal in our markets that every material AI initiative arrives with its evidence, a success metric tied to a business KPI, continuous evaluation after go-live, and the contractual right to stop what isn't working. Think big, start simple.
If our revenue depended on building, we could not tell a client not to build.
Team
Who sits at the table.
A senior team that works directly with executive committees. The person who sells the engagement is the person who delivers it.
Miguel Gómez Santa María
Co-founder · CAIOLeads the firm's AI strategy and the delivery of every engagement, from diagnostic to product in operation.
Commitments
What we commit to in writing.
Nothing here is a new promise: it is how we work today, and we put it in writing so it can be verified.
Evidence before opinion
Anything unsupported is marked as an assumption, not a finding.
Vendor neutrality
We recommend the platform that fits the case, not the one that suits us.
Evaluate before switching on
No agreed acceptance criteria, no deployment.
The right to stop
Every case has kill criteria, and closing in time is also an outcome.