Paf has rolled out ChatGPT Enterprise across its workforce, betting that custom AI tools will reshape how developers approach routine coding tasks. Engineers now use tailored GPT models daily to accelerate work that once consumed hours, freeing them to focus on higher-order problem-solving.
The move extends beyond the engineering floor. Paf integrated ChatGPT Enterprise into grit:lab, its developer training academy, embedding AI assistance into the curriculum from day one. Students now learn software architecture and systems thinking alongside AI-augmented workflows, preparing them for a development environment where custom models are standard infrastructure.
Adoption has spread well beyond technical teams. Across Paf, 70% of employees actively use ChatGPT Enterprise, with uptake spanning finance, HR, marketing, and customer support. The breadth signals the company's confidence that generative AI isn't merely a coding productivity tool but a platform for rethinking how entire business operations function.
The strategy reflects a broader industry shift. As more companies deploy enterprise-grade models, the question has moved from whether AI boosts developer productivity to how quickly teams can reorganize workflows around it. Paf's approach to training the next cohort of engineers on AI-first principles suggests the company sees custom GPTs not as a temporary efficiency gain but as foundational infrastructure for software development going forward.
Author Emily Chen: "Paf isn't just using AI to speed up coding, it's baking AI thinking into how the next generation learns to build systems, which is the real play here."
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