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HiBob turns 2,500 GPTs into product and team growth
For builders, HiBob's approach shows how custom GPTs can be a practical, low-code method to inject AI into multiple workflows simultaneously, offering a template for both internal automation and product innovation.
What happened
HR software company HiBob leveraged ChatGPT Enterprise to create 2,500 custom GPTs, embedding AI across its operations and product. According to the OpenAI Blog, these GPTs enabled teams to build AI tools without coding, covering tasks from onboarding to performance reviews. The effort boosted internal AI adoption and contributed to revenue growth by delivering AI-powered features directly in the Bob platform. For developers and solopreneurs, this case illustrates how custom GPTs can serve as modular, low-code building blocks for integrating AI into existing workflows—scaling from a few to thousands without heavy engineering resources. The approach parallels the use of specialized AI agents in automation, but here the focus is on leveraging the ChatGPT ecosystem for both internal efficiency and customer-facing enhancements.
Key takeaways
- HiBob built 2,500 custom GPTs using ChatGPT Enterprise to automate HR workflows and enhance product features.
- The custom GPTs were created by non-technical teams, enabling broad AI adoption without specialized coding skills.
- These GPTs were integrated into the Bob platform, directly improving the customer experience and driving revenue.
- The initiative demonstrates a scalable model for deploying many task-specific AI assistants within an organization.
Why it matters
For builders, HiBob's approach shows how custom GPTs can be a practical, low-code method to inject AI into multiple workflows simultaneously, offering a template for both internal automation and product innovation.
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