ToolsThe story, in brief

Surging developer productivity with custom GPTs

Not a pilot. Paf deployed ChatGPT Enterprise across 70% of its workforce — engineers, finance, HR, marketing, and support.

Illustration of two anonymous hands arranging task cards around an amber tool on a shared desk.
People, judgement and the changing nature of work.AI illustration by KeyNews
The KeyNews take

Why it matters

Enterprise AI adoption at scale is moving beyond chatbot toys into core workflow automation. Paf's case shows how companies are systematizing AI into training (grit:lab) and daily operations across departments, not just engineering.

The key facts

13 to know
  1. Paf deployed ChatGPT Enterprise company-wide

  2. 70% of employees actively using ChatGPT Enterprise

  3. Custom GPTs used daily by engineers for routine development tasks

  4. ChatGPT Enterprise integrated into grit:lab coding academy for developer training

  5. Adoption spans engineering, finance, HR, marketing, and customer support

  6. Published June 18, 2024 (OpenAI case study)

  7. Paf adopted ChatGPT Enterprise company-wide

  8. 70% of employees actively use ChatGPT Enterprise

  9. Engineers use custom GPTs daily for routine development tasks

  10. Integration into grit:lab coding academy (gritlab.ax)

  11. Adoption spans developers, finance, HR, marketing, customer support

  12. Positioned as productivity acceleration for routine tasks

  13. Published June 18, 2024

Go to the source

OpenAI Blogopenai.com

Publisher excerpt: Paf adopted ChatGPT Enterprise across its entire company, with engineers using custom GPTs on a daily basis to speed up routine development tasks. Paf also integrated ChatGPT Enterprise into the grit:lab coding academy (gritlab.ax), training the next generation of software developers using an…
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