Building OpenAI with OpenAI
📰 OpenAI News
OpenAI is using its own technology and APIs to run its business, and is sharing internal examples of how AI is supporting use cases across its teams
Action Steps
- Identify high-leverage systems with outsized impact
- Define what good looks like and deliver changes in weeks instead of quarters
- Test AI solutions in live deployments to build the same muscles as customers
- Adapt patterns from OpenAI's internal examples to your own business use cases
Who Needs to Know This
The product, engineering, and GTM teams at OpenAI benefit from using AI to elevate their craft and scale the impact of each discipline, and this series can provide insights for other companies looking to adopt AI
Key Insight
💡 Treating AI as a practice that elevates craft can help companies scale the impact of each discipline
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🤖 OpenAI is using its own AI tech to run its business! 🚀
Key Takeaways
OpenAI is using its own technology and APIs to run its business, and is sharing internal examples of how AI is supporting use cases across its teams
Full Article
# Building OpenAI with OpenAI | OpenAI
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OpenAI
Table of contents
* [OpenAI on OpenAI](https://openai.com/index/building-openai-with-openai#openai-on-openai)
* [A preview of the future of work](https://openai.com/index/building-openai-with-openai#a-preview-of-the-future-of-work)
September 29, 2025
[ChatGPT](https://openai.com/stories/chatgpt/)[API](https://openai.com/stories/api/)OpenAI on OpenAI
# Building OpenAI with OpenAI
Introducing a new series about how OpenAI runs on its own technology.
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_Chief Commercial Officer, Giancarlo ‘GC’ Lionetti, kicks off our series sharing internal examples of how OpenAI is using its own technology and APIs. These tools are being used internally, only at OpenAI, and are shared here as illustrative examples of how frontier AI is supporting use cases across our teams. We’re also sharing the internal tool names for a clearer look at how frontier AI helps our teams get work done._
AI has moved beyond an experiment. It now operates as infrastructure for work, shifting from pilots to systems that shape daily decisions. While our models improve in speed, cost, and capability, adoption rarely moves in a straight line. Deployments often outpace the change needed for organizations to leverage this technology.
Inside OpenAI we see the same tension. Running our business on AI means facing the questions every customer asks: where to start, how to align new tools with existing workflows, how to measure progress as the ground shifts. When I meet customers, the question they all ask me is, “How does OpenAI use OpenAI?”
Our approach is to treat AI as a practice that elevates craft.
Every company depends on expertise. The salesperson who builds trust, the support lead who solves the hardest problem, the engineer who finds order in complexity. AI encodes that expertise and distributes it across teams, scaling the impact of each discipline.
This is how we build. Our GTM, product, and engineering teams study their everyday workflows, define what good looks like and deliver changes in weeks instead of quarters. We decided to focus on a few high-leverage systems with outsized impact. Each team tests them in live deployments, building the same muscles our customers do.
## OpenAI on OpenAI
Today we’re launching OpenAI on OpenAI, a series that shows how we use AI inside our business. Each story covers a real problem and the solution we built. Our goal is to share patterns companies can adapt.
We start with a few examples:
* [**GTM Assistant**](https://openai.com/index/openai-gtm-assistant/): a Slack-based tool that centralizes account context and expert knowledge. It streamlines research, meeting prep, and product Q&A, boosting sales productivity and improving outcomes.
* [**DocuGPT**](https://openai.com/index/openai-contract-data-agent/): an agent that converts contracts into structured, searchable data. Finance teams use it for faster, more consistent review at scale.
* [**Research Assistant**](https://openai.com/index/openai-research-assistant/): a system that turns millions of support tickets into conversat
[Skip to main content](https://openai.com/index/building-openai-with-openai#main)
[](https://openai.com/)
* [Research](https://openai.com/research/index/)
* Products
* [Business](https://openai.com/business/)
* [Developers](https://openai.com/api/)
* [Company](https://openai.com/about/)
* [Foundation(opens in a new window)](https://openaifoundation.org/)
[Try ChatGPT(opens in a new window)](https://chatgpt.com/)
* Research
* Products
* Business
* Developers
* Company
* [Foundation(opens in a new window)](https://openaifoundation.org/)
[Try ChatGPT(opens in a new window)](https://chatgpt.com/)
OpenAI
Table of contents
* [OpenAI on OpenAI](https://openai.com/index/building-openai-with-openai#openai-on-openai)
* [A preview of the future of work](https://openai.com/index/building-openai-with-openai#a-preview-of-the-future-of-work)
September 29, 2025
[ChatGPT](https://openai.com/stories/chatgpt/)[API](https://openai.com/stories/api/)OpenAI on OpenAI
# Building OpenAI with OpenAI
Introducing a new series about how OpenAI runs on its own technology.
Loading…
Share
_Chief Commercial Officer, Giancarlo ‘GC’ Lionetti, kicks off our series sharing internal examples of how OpenAI is using its own technology and APIs. These tools are being used internally, only at OpenAI, and are shared here as illustrative examples of how frontier AI is supporting use cases across our teams. We’re also sharing the internal tool names for a clearer look at how frontier AI helps our teams get work done._
AI has moved beyond an experiment. It now operates as infrastructure for work, shifting from pilots to systems that shape daily decisions. While our models improve in speed, cost, and capability, adoption rarely moves in a straight line. Deployments often outpace the change needed for organizations to leverage this technology.
Inside OpenAI we see the same tension. Running our business on AI means facing the questions every customer asks: where to start, how to align new tools with existing workflows, how to measure progress as the ground shifts. When I meet customers, the question they all ask me is, “How does OpenAI use OpenAI?”
Our approach is to treat AI as a practice that elevates craft.
Every company depends on expertise. The salesperson who builds trust, the support lead who solves the hardest problem, the engineer who finds order in complexity. AI encodes that expertise and distributes it across teams, scaling the impact of each discipline.
This is how we build. Our GTM, product, and engineering teams study their everyday workflows, define what good looks like and deliver changes in weeks instead of quarters. We decided to focus on a few high-leverage systems with outsized impact. Each team tests them in live deployments, building the same muscles our customers do.
## OpenAI on OpenAI
Today we’re launching OpenAI on OpenAI, a series that shows how we use AI inside our business. Each story covers a real problem and the solution we built. Our goal is to share patterns companies can adapt.
We start with a few examples:
* [**GTM Assistant**](https://openai.com/index/openai-gtm-assistant/): a Slack-based tool that centralizes account context and expert knowledge. It streamlines research, meeting prep, and product Q&A, boosting sales productivity and improving outcomes.
* [**DocuGPT**](https://openai.com/index/openai-contract-data-agent/): an agent that converts contracts into structured, searchable data. Finance teams use it for faster, more consistent review at scale.
* [**Research Assistant**](https://openai.com/index/openai-research-assistant/): a system that turns millions of support tickets into conversat
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