The question is no longer whether generative AI works, but what each dollar invested returns. The data gap between AI pilots and real value remains wide: BCG estimates only about 26% of companies generate value beyond proofs of concept. The difference is rarely the technology itself — it is how use cases are selected, measured, and scaled.
What the Data Shows
Measured case by case, generative AI ROI is more encouraging than the general skepticism suggests. A Google Cloud survey of executives found 74% report returns within the first year on at least one use case, with productivity gains as the most cited benefit. McKinsey reports that over 70% of organizations now use generative AI in at least one business function.
Academic studies point the same way. Stanford and NBER research on AI assistants in customer support measured a 14% average productivity increase, rising to 34% for less experienced agents. GitHub Copilot studies show tasks completed up to 55% faster, and document processing cases report 60-80% time reductions.
Returns appear first in high-volume, low-complexity processes: customer support, content generation, software development assistance, and document processing.
Real-World Impact
For companies in LATAM, two factors shape the equation. AI consumption is priced in dollars, making AI FinOps — tracking cost per query, per document, per resolved ticket — essential for a positive return. And the winning use cases tend to be those that free up skilled professionals’ hours: an insurer cutting claims analysis from days to hours captures a direct, measurable return.
How to Get Started
- Establish a baseline: know what each ticket or document costs today.
- Pick one or two high-volume use cases where small gains compound.
- Calculate total cost: licensing, integration, model consumption, training.
- Define metrics before implementation, not after.
- Scale only what proves ROI within 90 days.
Syloper helps companies across LATAM identify the use cases with the best return-to-effort ratio and build implementations that can be audited in numbers. If you are evaluating where generative AI can deliver real value, our AI Consulting service is the place to start.
