Your browser is not supported. Please download another browser to be able to use all of the Maven features.

Team Training

ChatGPT Enterprise: A Game Changer, but Is It Safe to Use First Party Data and AI?

4 min readView all articles
By Chris Bruehl
Sep 1, 2023

OpenAI just announced the release of ChatGPT Enterprise, which is a game changer for organizations looking to adopt the use of LLMs.

At a high level, ChatGPT Enterprise brings a host of helpful functionality and security features that make the use of LLMs much more appealing to organizations looking to leverage this powerful technology, while not risking the exposure of their proprietary business data to a third party.

Before we dive into details about the advantages of ChatGPT Enterprise for organizations, first, let’s take a look at the opportunities LLMs like ChatGPT offer to businesses:

Employee Productivity:

By now, many professionals are already incorporating ChatGPT into their daily work. It can help analysts write, debug, and learn how to code, give marketers a starting point for social media copy, and help sales teams perform research on a given company or industry.

Employees can also use ChatGPT as a personal assistant, helping find the best flights for given dates, proofread emails, translate documents, and much more.

Additionally, premium versions of ChatGPT can ingest datasets, perform analyses on them based on user questions, and even generate visualizations in a chat. For non-technical folks, this represents a massive opportunity to foster a data driven culture by democratizing the ability to analyze data. These tools aren’t at the level of an experienced analyst yet, but they can certainly provide great insights for someone who has limited technical skills.

For full transparency, I wrote all of the text of this article myself, but I asked ChatGPT to provide me with a bulleted list of tasks it can perform to help me make sure I wasn’t missing anything (I was in fact missing a use case or two, but you’d never know thanks to ChatGPT).

In many respects, ChatGPT is a superpowered version of a search engine that reduces the need to hunt down information or find the right “how to” article when employees need more knowledge to complete a task. It is an extremely valuable tool that can improve efficiency for just about any professional role.

Enterprise Level Initiatives:

ChatGPT can also be tuned by developers to understand the context of your business. By providing ChatGPT with information, it can begin to “learn” the context of your business, which can help you build a useful internal knowledge base that can be accessed by employees, serve as a chatbot for customer service inquiries, assist with legal and accounting processes, and a host of other applications.

As of now, you might appreciate many of the use cases for ChatGPT, but still wonder if it’s a good idea to expose your company’s data to a third party service that is known for learning from every piece of information it gets its “hands” on. And that is an extremely valid concern if you’re using consumer versions of the software… but with a big announcement on August 28th, OpenAI introduced ChatGPT Enterprise, which has been designed to address these concerns and provide premium features not found in consumer versions.

ChatGPT Enterprise vs. ChatGPT

ChatGPT Enterprise provides several key features which will make the product much more appealing to organizations than its consumer offering. Here are a few highlights:


  • ChatGPT will not train its models on your business data, and its models don’t learn from any usage within the enterprise
  • You also fully own any custom models built on the platform, and they aren’t shared with anywhere else.
  • Enterprise level SSO authentication and end to end encryption for chats

Cost Management:

  • The enterprise edition offers a flexible, usage based pricing model, with a significantly lower cost per use on average than the consumer edition
  • A usage analytics portal that provides ChatGPT usage at a user level


  • Enterprise users get access to the latest and fastest versions of the model available, while consumers have longer waiting periods and premium pricing for more advanced models
  • 4x longer inputs (i.e. length of text you can pass in) into the model than consumers
  • Shareable chat templates that can be used for collaboration across the organization
  • Unlimited Advanced Data Analysis chats, which can be used by non-technical professionals to analyze excel files and other data formats

ChatGPT Enterprise was both an inevitable and necessary offering by OpenAI. While many organizations have already begun using its consumer edition, the added security features offered by the Enterprise version make it a no-brainer for organizations. I highly suggest taking a look at this offering, and if possible, get started by experimenting with the productivity use cases and advanced data analysis functionality.

If you have a solid developer team, custom tuning the model with business data can allow for some major cost savings. It can be trained to respond to basic customer inquiries, provide an interactive knowledge base about company policies and culture, and even help draft basic legal documents. The sky is truly the limit.

As a final note, it’s worth addressing that LLMs like ChatGPT are by no means perfect, but will continue to improve. For those looking to increase adoption of these tools on their team or organization, it’s important to make sure employees don’t trust these tools blindly. But from my perspective, as long as we are keeping an eye on its outputs, the productivity benefits of these tools are immense.

Looking to get started with ChatGPT?

If you are interested in AI, then Maven's Chat GPT course is for you. You'll learn all about AI, LLMs, ChatGPT, prompt engineering, and work through examples of some of the most powerful and practical ChatGPT use cases.


To get analytics tips & tricks delivered directly to your inbox.


Chris Bruehl

Chris is a Python expert, certified Statistical Business Analyst, and seasoned Data Scientist, having held senior-level roles at large insurance firms and financial service companies. He earned a Masters in Analytics at NC State's Institute for Advanced Analytics, where he founded the IAA Python Programming club.

Chris is a Python expert, certified Statistical Business Analyst, and seasoned Data Scientist, having held senior-level roles at large insurance firms and financial service companies. He earned a Masters in Analytics at NC State's Institute for Advanced Analytics, where he founded the IAA Python Programming club.

You May Also Like

Ready to become a

data rockstar?

Start learning for free, no credit card required!

Sign Up for Free