HiBob turns 2,500 GPTs into product and team growth
OpenAI
HiBob rolled out 2,500 custom GPTs across its company using ChatGPT Enterprise. The twist: it's driving real revenue, not just internal shortcuts.
Based on reporting by OpenAI — read the original for the full story.
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HiBob, the company behind the HR platform Bob, has quietly turned ChatGPT Enterprise into something closer to internal infrastructure than a chat window. Over the past year, employees across sales, support, product and HR itself have built roughly 2,500 custom GPTs, each tuned to a specific task rather than some generic all-purpose assistant.
That number matters because it signals scale, not novelty. This isn't a handful of engineers tinkering on a hackathon weekend. It's a company-wide habit where a support rep building a GPT to draft policy answers is treated the same as a product manager building one to summarize customer feedback. HiBob leadership pushed adoption hard, treating GPT-building almost like a literacy skill employees were expected to pick up.
The payoff shows up in two places. Internally, HR and go-to-market teams say routine work — drafting onboarding docs, triaging support tickets, prepping sales materials — moves noticeably faster now that a purpose-built GPT sits behind each workflow instead of a blank prompt box. Externally, some of that internal tooling has migrated straight into the Bob product itself, turning experiments into AI-powered features customers actually use, which HiBob credits with part of its recent revenue growth.
What's notable is the direction of the flow. Most companies talk about AI adoption as a top-down rollout: leadership picks a tool, mandates training, hopes for the best. HiBob's version looks more bottom-up, with thousands of small, employee-built tools feeding upward into both internal efficiency and the product roadmap. And that bottom-up mess, chaotic as 2,500 individual GPTs sounds, appears to be exactly the point.
My take — AI-written commentary, not fact-checked reporting
I've grown tired of enterprise AI case studies that amount to 'we bought a chatbot and morale improved.' This one at least shows a mechanism — thousands of narrow, employee-made tools compounding into product features and revenue — which is a far more believable story than another vague productivity claim. My bias: closed tools like ChatGPT Enterprise win these workplace deployments right now not because they're better models but because they ship with the boring plumbing — admin controls, security, integration — that open-weight alternatives still make companies build themselves.
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