Does your company use AI, or adopt it?

Kintara is an AI adoption consultancy for enterprise. Most organizations already have AI; very few actually use it. We close that gap: diagnostics, upskilling, workflow redesign and governance so AI changes how people work, not just which licenses you pay for.

Using AI means having the tools switched on: someone tried a chat, someone requested a license. Adopting it means people change how they work —with criteria, habit, governance and measurement— and someone keeps that wheel turning: pushing it, supervising it, sustaining it over time. 87% of AI projects fail at exactly that leap: not because of the technology, but because of how it's adopted. Buying the tool is day one; adoption is everything that comes after.

Organizations that already invested in AI but aren't seeing the return: dormant licenses, pilots that stall, every team experimenting on its own with no shared criteria. If AI usage in your company is experimentation noise with no traction, that's our entry point. We work with leaders and teams across Latin America and remotely worldwide.

Four entry points that make up the Adoption Stack™ by Kintara, depending on where you are:

• Activation Sprint (4 weeks): fast clarity on where to focus AI to move the business — diagnostic, leadership workshop and a 90-day roadmap.
• AI Fluency Program (8 weeks): teams reach real fluency and apply it to the tasks that matter and are relevant to their role, with a usage toolkit and adoption measurement.
• Adoption Engine (3 to 6 months): turns that usage into sustained results — upskilling, pilots with a scale-or-discard criterion, and workflow redesign.
• AI Governance (3 months): scales AI with control, transparency and sustainability — ethical framework, policies and usage criteria.

Everything starts with a 30-minute diagnostic call.

What each program costs is defined by each client's specific needs and objectives: how many people take part, the company's AI maturity at the start, and how far you want to take adoption. That's why we size it in the diagnostic call —from your starting point and your goal, not from a closed package. You leave knowing what you need and what it involves, with no commitment.

Kintara is founded by Belen Abbruzzese: former Director at Novartis (LATAM/Canada) and former Mercado Libre. We've led strategy and optimized operations for over 10 years; that's why our focus is on the business and on how to apply AI in service of that transformation, not on technology for its own sake. Change led from inside the organization, not from theory.

Both —but in an order. The technical part is the first step; today the bottleneck is adoption: the criteria to use AI well, the habit to sustain it, the governance to scale it, and the measurement to know if it works. Kintara works both layers, with the focus where the outcome is decided: on how people and the organization take it up.

We measure many dimensions —one alone isn't enough. But we're guided mainly by three signals, because they summarize well how the transformation is progressing: real usage (are they using it in their work, not in a demo?), trust (do they delegate tasks that matter to it?) and autonomy (can they solve without someone guiding them?). That turns adoption from a feeling into something you can see and improve.