Self-started · regional observatory

Mendoza FuturIA

An independent observatory measuring, with a verifiable method, how ready Mendoza's organizations are to adopt AI.

There is no measurement of AI-adoption maturity for Mendoza's productive fabric. Mendoza has a real, heterogeneous structure —winemaking, agribusiness, energy— and an emerging AI ecosystem, yet no one measures whether those organizations are ready to adopt AI, or where AI pays off and where it only destroys value. I founded and lead Mendoza FuturIA to turn that gap into measurement, and measurement into governed decisions. It is also the testing ground for my approach: the sociotechnical reading turned into a concrete instrument.

cat observatory.txt

name: Mendoza FuturIA
type: regional observatory of AI-adoption maturity
nature: self-started, independent, non-profit at its origin
direction: Gonzalo Flores Kemec · founder and director
scope: province of Mendoza, Argentina (regional Cuyo lens)
instrument: IMIA model (7 dimensions × 6 levels)
status: founding phase (pre-operational) · 2026

Mission

Measure, publish, support

Measure, with a verifiable method, how ready Mendoza's organizations are to adopt AI; publish that knowledge independently; and help them move from pilot to production without governance being left as an afterthought. The underlying thesis —every organization is a sociotechnical system— comes from my approach: read the human fabric before touching the technology.

Scope

What it does and doesn't do

Researches & publishes

The state of AI adoption and maturity in the region, as a report and index, independently.

No hype

No ROI promises without measurement, no "AI transformation" as a slogan.

Maintains the instrument

Applies IMIA as a common measure and recalibrates it with real data.

No org exposure

Does not publish data from identifiable organizations.

Builds a regional network

Public voice and ties with academia, the cluster, and the public and private sectors.

No replacing judgment

Measures conditions; it does not guarantee outcomes or replace human judgment.

The instrument

IMIA — maturity across seven dimensions

The observatory measures with IMIA, a model of 7 dimensions × 6 levels where governance acts as a gate: no organization reaches integration maturity without verifiable AI rules. It is not a compliance annex — it is the architecture of the standards (NIST AI RMF —the Govern function; EU AI Act) turned into a measure.

Status: founding phase (pre-operational), 2026. The direction, the method (IMIA) and the observatory's founding corpus exist. There is not yet proprietary field data, a measured index, or a legal entity: those are later stages, deferred by design. This page describes an observatory being founded —its method and its direction—, not a consolidated operation.

The context makes the local gap urgent: in Latin America AI penetration is below 4% —versus more than 20% in Europe— and within each country the distance between large firms and SMEs is huge. That gap is both the opportunity and the mission. Source: ECLAC, 2024.

./observatory --contact

Academia, cluster, public or private sector?

For collaborations, partnerships, or questions about the IMIA model and maturity measurement.

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