Aventurasoft

What is AI transformation consulting?

AI transformation consulting is the work of helping a leadership team move from isolated AI pilots to an operating model where AI is producing measurable, durable outcomes. In our experience the hard problems are not technical. They are measurement (reporting phase-appropriate progress instead of P&L returns that are not yet possible), operating model (making human and agent accountability explicit), and governance (treating action permission as its own design discipline). Aventurasoft focuses on those three, in that order.

How long has Aventurasoft been in business?

Aventurasoft has been in business for 20 years. We spent the first two decades delivering digital transformation, custom software development, and data analytics work for enterprises. We launched our dedicated AI consulting practice in 2025, grounded in that operating history and in our founder's experience leading AI at a Fortune 500 organization.

Who is Enrique Guitart?

Enrique is Co-Founder and CEO of Aventurasoft. Most recently he served as Head of AI at a Fortune 500 restaurant group, where he led enterprise AI transformation across multiple brands and more than 2,000 employees. Before focusing on the AI practice he spent two decades running digital transformation and software engineering engagements for enterprise clients across multiple industries. He holds executive programs from MIT Sloan in AI for business strategy and from the University of Miami Herbert Business School in Chief AI Officer practice.

Where is Aventurasoft based?

Aventurasoft has offices in Miami and Buenos Aires and we work with clients across the Americas and beyond. Current and recent engagements span New York, Miami, Panama, and Buenos Aires. We travel wherever the work is.

Is Aventurasoft new to AI?

Our dedicated AI consulting practice is new. We launched it in 2025. Our operating history is not new. The firm has been delivering digital transformation, software engineering, and data analytics for 20 years, and that is the reason our AI work lands. We have seen enough enterprise systems under pressure to know where AI programs actually fall over, and we have the data and engineering muscle to fix the foundation before the AI layer goes on top. Our founder also brings the direct operator experience of having led AI transformation at a Fortune 500 organization with multiple brands and thousa

What is the AI Value Diagnostic?

The AI Value Diagnostic is a 30-day engagement that audits your existing AI stack, surfaces shadow AI activity, quantifies realistic P&L impact by workstream, and delivers a sequenced roadmap against your actual cost structure. It is the entry point to every other engagement we offer. We kept it to 30 days on purpose, because a diagnostic is supposed to be fast and bounded. It is priced at consulting rates and produces a board-ready deliverable. Most organizations we run it for discover they are already paying for significant AI capability they have not activated.

Why do you sequence tool rollout and training before agentic AI?

Two reasons, and a risk we see in almost every client we meet. The risk is shadow AI. AI is already in your organization whether you sanctioned it or not. People are pasting customer data into free chatbots, building unreviewed workflows in personal accounts, and making consequential decisions on top of outputs that nobody audited. The first job of a serious AI program is to get that activity into the light, give people governed tools they can use openly, and put controls around what happens next. Training matters for two reasons. First, it reduces fear. Second, AI is not going to replace peop

What is the 7 Layer AI Transformation Framework?

It is the model we use to scope, sequence, and govern enterprise AI transformation. The layers are AI feature discovery in the existing stack (Layer 0), data readiness (Layer 1), AI analytics and business intelligence (Layer 2), generative AI in the workforce including productivity tools and embedded copilots (Layer 3), automation and AI agents (Layer 4), and machine learning and predictive intelligence (Layer 5). Security and governance run in parallel across all of them from day one.