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deepmind.google·6d ago
AI Engineering
OpenAI Blog·Oct 8·5 min read
HiBob turns 2,500 GPTs into product and team growth
TL;DR
HiBob, an HR platform, faced scaling challenges in deploying AI across teams and products. The company built custom GPTs (specialized AI assistants) using ChatGPT Enterprise to automate HR workflows and embed AI features directly into their Bob platform.
✦ Why It Matters
Engineers can adopt custom GPTs and enterprise AI platforms to automate workflows and accelerate feature delivery without building models from scratch.
Key Takeaways
- Build custom GPTs tailored to specific business domains rather than relying on generic AI models.
- Embed AI assistants directly into products to enhance user experience and reduce manual tasks.
- Use enterprise-grade AI platforms with security controls for scaling AI across organizations.
- Measure revenue and productivity impact to justify AI investment and guide deployment strategy.
Full Summary
HiBob is a human resources management platform that needed to scale artificial intelligence adoption across its organization and product offerings. The company leveraged ChatGPT Enterprise—OpenAI's business-grade version of ChatGPT with enhanced security and usage controls—and created 2,500 custom GPTs (fine-tuned AI assistants trained on specific data or instructions).
These custom GPTs automated repetitive HR workflows, reduced operational overhead, and enabled HiBob to ship AI-powered features faster within the Bob platform itself. By embedding these specialized AI tools into their product, HiBob improved user experience and internal efficiency simultaneously.
The deployment demonstrated measurable impact on revenue growth and team productivity, showing that enterprise AI adoption at scale can drive both operational and commercial results.