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From Pilots to Practice: TOTVS Director on AI’s Transition into Daily Farm Operations
In this conversation ahead of the World Agri-Tech South America Summit, Fabrício Orrigo, Segment Director at TOTVS, shares his perspective with Conference Producer Sasha Forster on how artificial intelligence is moving from experimentation to practical deployment across agriculture, and what is needed to scale adoption across the sector.
AI moving from innovation initiative to business capability
Fabrício believes the industry is reaching an important inflection point where AI is no longer viewed solely as an innovation project, but as a core business capability. The greatest commercial value is currently being generated through applications that improve operational efficiency, decision-making, and productivity, including yield forecasting, input optimization, predictive maintenance, and supply chain planning.
More recently, generative AI has begun transforming how agronomists, sales teams, and farm managers access information, reducing the time required to analyze data and generate recommendations. According to Fabricio, the real opportunity lies in embedding AI into everyday workflows so that data can be translated into practical action and better decisions.
Fabrício emphasizes that no single organization possesses all the data, expertise, and field knowledge required to unlock AI’s full potential. Successful implementation depends on collaboration between technology providers, agribusinesses, public institutions, and farmers, each contributing a different piece of the puzzle.
The most effective partnerships, he says, focus on solving genuine business and production challenges rather than deploying technology for its own sake. Establishing trust around data sharing, governance, and expected outcomes is equally important to creating confidence across the ecosystem.
While generative AI has made advanced capabilities accessible to a wider audience, Fabrício notes that it has also increased the importance of data quality, governance, and security. For AI-generated recommendations to be adopted at scale, producers and business leaders must be confident that outputs are based on reliable information and that sensitive data is protected.
He highlights TOTVS’ LYNN program, which is focused on building the governance and infrastructure needed to support trusted AI applications. Ultimately, Fabricio argues that strong governance and transparency will be essential to scaling AI adoption across agriculture.
Join the conversation
Fabrício will be presenting during the AI case study session at the World Agri-Tech South America Summit in São Paulo on June 23–24, alongside speakers from Google and the University of Campinas. The session will showcase real-world AI applications in agriculture, followed by a panel discussion exploring how these technologies are being implemented across the sector.
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