Small and midsize businesses make up more than 60% of employment in Latin America. Many of those companies are now using AI not as a novelty but as part of everyday workflows: summarizing emails, automating paperwork, building AI agents that answer business questions in natural language, and offering instant customer support.
How businesses pick the right AI for the job
Teams balance speed, cost, and accuracy. For simple, frequent tasks they use fast, low-cost models. For complex analysis they deploy advanced models. That flexibility lets organizations align AI capability with task criticality and budget.
Gemini Enterprise is the central AI platform cited by these companies, often used together with other Google Cloud services: BigQuery for unified data, Looker for analytics, Cloud Run and Cloud Storage for application and content handling, Firestore and Cloud Functions for operational workflows, and Google Kubernetes Engine when full container orchestration is required.
Customer examples and concrete outcomes
- AdGoat (Argentina) processes more than 10 billion annual ad requests across over 100 global websites. It uses Cloud Run, the Gemini API, and Gemini Enterprise to automate content analysis, ad bidding, and audience targeting for e-commerce campaigns.
- Convert (Brazil) pairs Looker, BigQuery, and Cloud Run to power five specialized AI agents that answer complex business questions in natural language, speeding report delivery by 65% and cutting operational costs by 32%.
- Growth Digital built more than 113 AI agents using BigQuery and Gemini Enterprise. Teams produce proposals five times faster, reduce campaign reporting time by 80%, and lower financial error rates to under 0.01%.
- HealthAtom (healthcare tech) integrates the Gemini API with Firestore and Cloud Functions to power AI assistants that automate appointment scheduling and medical record reviews, supporting 80 million annual patient interactions.
Companies also use AI to digitize physical assets and fleets, create digital tracking profiles for machinery, and enable plain-language queries across mixed-brand equipment. In healthcare and logistics, agents automate repetitive tasks and surface critical insights to non-technical staff.
Midsize Latin American businesses are scaling AI by choosing the right model for each task and pairing AI models with cloud infrastructure and analytics. The reported outcomes include faster customer response, lower creative and operational costs, and measurable productivity gains across marketing, logistics, healthcare, and adtech.