Who it is for
For mid-sized and large companies in Chile and LatAm that are exploring AI, bought licenses, have scattered pilots, or need a clear reading before investing in automation, agents, or training.
EMI measures how ready a company is to adopt AI in practice. In a few questions, it evaluates disposition, culture, data, processes, governance, and tools to show where the organization stands and where to start.
Start diagnosisEMI connects six critical dimensions of AI adoption: people, usage culture, available data, real processes, governance, and tools. The result looks beyond technology and shows the whole system.
For mid-sized and large companies in Chile and LatAm that are exploring AI, bought licenses, have scattered pilots, or need a clear reading before investing in automation, agents, or training.
The company answers maturity questions, declares an operational pain, selects industry and size, and receives an EMI reading with global level, dimension radar, benchmark, and action sequence.
EMI shows a weighted score, weakest-link score, adoption archetype, gap against the industry standard, and a first suggested quick win with human review.
The diagnosis compares your result with an expected standard by industry and employee range. This helps understand whether the company is below, at, or above its market.
EMI guides
The six EMI dimensions for evaluating AI adoption in companies: disposition, culture, data, processes, governance, and tools.
Read guide →EMI is the Equios Maturity Index, an AI maturity diagnosis for companies that measures real readiness for AI adoption.
It takes a few minutes. The goal is to capture a fast executive reading and turn it into an actionable conversation.
It is the dimension most likely to slow adoption. A company can have advanced tools, but if culture, data, or governance are weak, impact will not scale.
No. EMI is the starting point. It helps understand where the company stands and prioritize the first quick win, training, or adoption roadmap.