Why You Care
Ever wonder how some companies seem to effortlessly integrate AI into every corner of their business? What if your team could build custom AI tools to solve daily problems, not just for you, but for your customers too? HiBob is doing just that, turning thousands of custom GPTs into a engine for growth and creation. This isn’t just about using AI; it’s about building a system where AI constantly improves itself and your workflow. How could a similar approach change your daily tasks?
What Actually Happened
HiBob, an HR system company, has implemented a system where 2,500 custom GPTs are used to drive product creation and team productivity, according to the announcement. These GPTs are not isolated tools; they form a ‘flywheel’ that enhances employee adoption and supports career growth. The company reports that these internal GPTs also help prototype and design customer-facing features. HiBob builds and tests these solutions within ChatGPT Enterprise. Then, they implement them using OpenAI’s API (Application Programming Interface), delivering AI-powered features directly into their Bob system. This allows HR leaders to interact with their data conversationally, making decisions in minutes instead of days, as mentioned in the release.
Why This Matters to You
This approach means HiBob isn’t just consuming AI; they are actively creating and refining it internally. This internal creation cycle directly benefits their customers. Imagine using an HR system where you can simply ask questions about your data and get , intelligent answers. The company reports that this system is built for scale, providing every employee with the tools and support to make AI a business driver. For example, a sales team might use a ‘Meeting Prep GPT’ to pull data from CRM systems, transcripts, and notes. This generates briefings, saving hours of preparation each week. This direct application of AI solves real-world business problems. Think about your own role; where could a custom AI assistant save you significant time?
Here’s a look at some of HiBob’s internal GPT examples:
- Meeting Prep GPT: Generates sales/CS briefings from CRM data, transcripts, and notes.
- Upsell GPT: Identifies expansion opportunities by analyzing usage patterns and customer behavior.
- VBO Project Manager Assistant: Summarizes onboarding calls, creates task lists, and tracks project progress.
- SEO Assistant: Provides keyword recommendations and performance insights using web analytics APIs.
- Roadmap GPT: Aggregates product roadmap data into actionable insights for go-to-market teams.
“Crucially, the same internal GPTs that drive adoption also help HiBob prototype and design customer-facing features,” the company states. This dual-purpose strategy means internal efficiency directly translates into external product creation for you.
The Surprising Finding
What’s truly unexpected is how HiBob manages to scale this internal AI creation. Rather than treating GPTs as one-off solutions, they incorporate them into a growing, managed system. The team revealed that successful GPTs are versioned, improved, and adopted across multiple functions. This creates a shared learning cycle and continuous refinement. This challenges the common assumption that custom AI tools are often siloed or quickly become obsolete. Instead, HiBob’s ‘AI Mind team’ ensures these digital companions evolve and remain relevant. This structured approach prevents AI fragmentation, turning individual tools into a cohesive, expanding network.
What Happens Next
HiBob’s structure for building these ‘digital companions’ suggests a clear path forward for other organizations. The company introduced a five-step process: idea and proof of concept, build, adoption and enablement, maintenance, and scale. This structured approach allows employees to turn GPT concepts into secure, compliant agents. The team revealed that hundreds of GPTs have been built through this system, actively used across various departments like sales, HR, and marketing. Each GPT is treated like a digital teammate with a defined role and owner, according to the announcement. We can expect to see more companies adopting similar internal AI creation frameworks in the next 12-18 months. For example, a small business could adapt this model to create custom GPTs for customer service FAQs or internal knowledge management. Your next step might be to identify a specific pain point in your workflow and explore how a custom GPT could address it. This model provides a blueprint for , impactful AI integration across any industry.