Pipefy and Oracle partner to accelerate generative AI adoption

Process management firm Pipefy is partnering with Oracle to accelerate large-scale generative artificial intelligence (AI) adoption.

The alliance has already generated millions of dollars in contracts with major companies in the telecommunications and financial services sectors, according to the announcement. 

Meanwhile, Gartner predicts worldwide end-user spending on generative AI models to total US$14.2 billion in 2025.

Accelerating generative AI adoption

“While Oracle provides a secure and scalable cloud infrastructure, Pipefy packages that capability into ready-to-use automation solutions, delivering business applications and connecting people, data and decisions through AI agents in highly regulated environments,” said André Agra, CFO and VP of strategic alliances at Pipefy.

The alliance goes beyond technology, as the companies have been working with integrated sales teams and a new go-to-market model for corporate AI projects, Agra added. “We’re witnessing a paradigm shift: companies want to put AI to work, and we deliver that in weeks, not years.”

Guilherme Cavalcanti, senior sales director at Oracle, said: “With our infrastructure, companies like Pipefy are not just implementing AI in the market – they're driving real business outcomes with speed, scale and security.”

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Global generative AI spending to hit $14 billion in 2025

Global end-user spending on generative AI models is projected to total $14.2 billion in 2025, according to Gartner, Inc. Meanwhile, end-user spending on specialized generative AI models – including domain-specific language models (DSLMs) – is estimated to total $1.1 billion in 2025.

Specialized generative AI models are trained or fine-tuned on industry or business process-specific data, according to Gartner. “The way DSLMs are developed and deployed results in an impact that exceeds the direct spending they generate.” By 2027, more than half of the generative AI models used by enterprises will be domain-specific, up from 1 percent in 2024, Gartner stated.

“Foundation generative AI models (including LLMs) are trained on vast amounts of data and used for many different tasks,” said Arunasree Cheparthi, senior principal research analyst at Gartner. “They are the first models supporting generative AI and will continue to represent the largest area of spending by organizations in the coming years.”

However, organizations are also turning to more domain-specific or vertical generative AI models because they offer improved performance, cost, reliability and relevance in targeted enterprise use cases over foundation models.

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