How to Integrate ChatGPT for Enterprise: 3 Use Cases

Heard of ChatGPT? One of the largest tech hypes of the last months has reasons to be that impressive.

Open AI, the company behind ChatGPT, used nearly the whole Internet to train the model. OpenAI hasn’t released exact costs, but McKinsey indicates that GPT-4 was trained on around 45 terabytes of text data. 

The abilities of the technology are a game changer: it has opened opportunities that were not available before. In this blog post, we’ll take a look at ChatGPT from a business perspective. How to incorporate ChatGPT for company use? How to overlook the security and privacy considerations?

 Let’s dive in together.

Remember the old-way chatbots that responded “Sorry, I didn’t get it” to nearly anything unusual the user sent in chat? In recent months, artificial intelligence has broken through previous limitations, and ChatGPT is one of the most popular technologies driving this change.

With its advanced language model, ChatGPT creates responses that seem human-written, offering countless opportunities for businesses to improve.

From simplifying complex processes to customizing product recommendations for customers, ChatGPT has the power to revolutionize business operations.

But all of that is achievable via the "brains" behind ChatGPT – GPT API. 

ChatGPT is a web and mobile-based chatbot developed by Open AI. It is available for free (or paid in ChatGPT Plus) via the chat interface. The abilities of ChatGPT include text generation, leading chat conversations, code generation, and others.

The Generative Pre-trained Transformers – in other words, the brains behind ChatGPT – sampled nearly all of the Internet for training. With neural networks tuned for finding connections in text, they can utilize large structured (like databases) or unstructured (like text documents or images) data to perform tasks far beyond previous AI capabilities.

What if ChatGPT could utilize not just random but company data to do these tasks on the internal level? In fact, with GPT API, it is accomplishable. 

Here’s how you can benefit from introducing ChatGPT-like solutions into corporate processes under significant security and performance considerations. 

Context-awareness — The AI model can take into account the context of a conversation, enabling more meaningful and coherent interactions.

Natural language understanding — ChatGPT can comprehend and interpret complex human language, making it effective for processing text-based data and generating relevant responses.

Text generation — ChatGPT can generate human-like text, which can be useful for drafting emails, creating content, or providing suggestions.

Question-answering — The model can provide accurate and relevant answers to user queries, based on its vast knowledge base and training data.

Integration — ChatGPT can be easily integrated into existing systems, applications, and workflows, thanks to available APIs and software development kits (SDKs). (See a description of OpenAI’s API later.)

Customization — ChatGPT can be fine-tuned and adapted to specific domains and industries, making it suitable for various organizational use cases. To achieve this, organizations need to fine-tune the existing pre-trained ChatGPT models using their own data, allowing the model to become more tailored to the specific needs and context of the organization.

• Let AI perform tasks not possible before

• Break through the ChatGPT hallucinations, security concerns, and limitations

Tune GPT API to your business needs – and make it more precise, controllable, and secure. For example, train the model on custom data (from external software, your website, or a set of documents), and AI will refer to it as a source of information without hallucinations or fake facts. Or build a private internal AI solution for employees and be sure the history is not used for training by Open AI.

• Quick launch, immediate value

Gone are the days of long and expensive AI training: it’s a matter of a day to get a clickable prototype with GPT and see immediate value from using a ChatGPT-like solution. Use first, then scale: add data, integrations, and find features on the go. 

We will take a look into the three most promising use cases – let AI perform tasks not possible before.

1/ Accessible for All Data Analysis  

Get insights from reports and large SQL databases in seconds

1/ Customized ChatGPT-like Responses

Ask AI to answer questions based on documents or knowledge bases with 0 hallucinations

3/ Fast Corporate AI-powered Assistance

Implement internal ChatGPT to cut off routine tasks in a controlled and secure environment

Use case: Train GPT on your data to generate precise answers based on multiple sources

Thanks to advanced neural networks, generative AI is capable of unsupervised learning from different sources:

No need to call for data analysts. No need to look through dozens of reports to compile takeaways or comparisons. AI will do the job leaving out time for smarter business decisions.

AI can search, analyze, summarize it, and finally – generate a ready-to-be-sent to a customer reply just like ChatGPT based on the knowledge from these sources. For internal teams, it could be a major time-saver.

No need to search through docs. No need to combine pieces and write a comprehensive reply. AI will do the job – the search and the writing – precisely. Save time for employees and increase the efficiency of customer support, sales, and customer success teams. 

Our Approach: Ensuring Quality of Answers and Quick Search

One of the common ChatGPT limitations is hallucinations: it occasionally generates convincing answers that are fake or irrelevant. Yet, with GPT API, it is possible to omit this problem, which is the case for this solution.

Here’s how we implemented it: to process unstructured data, we divide the large text into smaller parts, like paragraphs. Then, we look up for the most relevant paragraph that contains the answer to the question. To determine relevance, we use embeddings – a coded representation of a text, like a list of numbers. The distance between two embeddings tells us how related they are. Small distances mean high relatedness, while large distances mean low relatedness.

After finding the closest paragraph, GPT generates a full reply to a question based on the knowledge from it. Such an approach helps AI to locate the answer in seconds and stay precise in answers.  

Talk to your data: turn complicated numbers and tools into insightful storytelling

Connect GPT to the company’s data warehouse or Business Intelligence tools – SQL databases, Tableau, CRM, ERP, etc. – and make it a data advisor for employees. It’s like a ChatGPT that can surf through databases to answer questions, create graphs or visualize reports on demand.  

No need to call for data analysts. No need to look through dozens of reports to compile takeaways or comparisons. AI will do the job leaving out time for smarter business decisions.

Our Approach: Keeping Data Queries Secure

To protect sensitive data, two approaches were used for this project.

Firstly, we connected a GPT-4 API for processing requests. This way, our client can be sure Open AI won’t use the data for training purposes – as ChatGPT does.

Secondly, we overlook data protection: we use OpenAI only to generate a query to the database. No actual data – facts, numbers, stats – are shared with OpenAI.

Create your own (Chat)GPT: smart AI assistant in a controlled environment

Let employees find information fast, generate reports, write replies or feedback, visualize data, create blog posts – and much more – with one unified assistant that is a part of your corporate infrastructure and security.

We can enhance GPT with enterprise-level features:

• Private GPT solution: be sure the internal data or prompt history is not used by Open AI for training, as it is in ChatGPT;
• Controlled data usage and pricing;
• Separate access for employees to log in and use; 
• Custom use roles for different departments; 
• ChatGPT capabilities that can be enhanced on your level;
• Advanced security and data protection; 
• Integrations with any data or software; 
• Additional features like sharing a template of prompts across the company.

Looking for more details? Contact us to learn more about custom GPT assistants. Set up a ChatGPT for your organization for free: just pay for the usage of the OpenAI API key. Reach out and request a free setup for your organization and get a demo of ChatGPT "PRO" for business.