Using ChatGPT in everyday business

What is ChatGPT, why is artificial intelligence attracting so much attention, and how can it help in everyday business?

ChatGPT is an OpenAI product built around advanced AI models that understand and generate natural language. GPT stands for “Generative Pre-trained Transformer”. These tools can help answer questions, draft articles, hold conversations and analyse information.

The original article discusses GPT-5 and a wider set of AI capabilities beyond text generation. Depending on the product, model, tools and integrations available, business workflows can include:

• Analysing images and documents.
• Creating visual material such as charts, diagrams and illustrations.
• Writing and explaining code in different programming languages.
• Working with structured information such as Excel files, CSV files and database results.
• Connecting to business systems through APIs.
• Supporting workflows involving email, calendars, CRM systems and other business tools.

In other words, the opportunity extends beyond a simple chatbot to a broader business assistant.

Why is everyone talking about AI?

Artificial intelligence is no longer only a futuristic idea. Businesses are exploring it for practical reasons:

• Automating repetitive tasks.
• Personalising the customer experience.
• Saving time and reducing routine costs.
• Improving employee productivity.
• Analysing large amounts of information more quickly.

When implemented effectively, tools such as ChatGPT can help a business respond faster to customers and changing market needs.

ChatGPT in practice

1. Customer support

AI can help answer common questions through a website, email workflow or chat interface.

Example: a customer asks whether a product is available. A properly connected assistant checks current product information and uses it to answer. Access to live stock data requires an appropriate integration.

2. Marketing and sales

AI can draft personalised marketing messages, newsletters and product suggestions.

Example: it prepares a newsletter around a customer's stated interests or drafts social-media posts for review.

3. Internal tools and productivity

AI can assist with documents, reports, data analysis and project work.

Example: it summarises the main trends in an Excel file and helps create suitable visualisations.

4. Software development

AI can help write and explain code, propose tests and prepare documentation.

Example: a developer describes a feature and receives an initial Symfony or Flutter implementation to review, adapt and test.

5. Knowledge management

An assistant connected to an internal knowledge base can help employees find information using ordinary language.

Example: an employee asks, “How do I open a new project in the CRM?” and receives a step-by-step explanation based on the organisation's documentation.

How to approach adoption in your business

1. Choose the delivery model. Decide whether the workflow belongs in a web application, an API integration or a custom solution.
2. Define the objective. Examples include reducing support workload, preparing reports or drafting content.
3. Prepare the information. Identify the relevant product data, documents, knowledge base and frequently asked questions.
4. Design the user experience. Choose a suitable interface, such as a chatbot, CRM module or mobile app.
5. Test and measure. Check the quality of the results and whether the tool saves time or improves the customer experience.
6. Keep information current. An assistant is more useful when its connected business data is accurate and up to date.

Example: product information in JSON

Structured product information can give an assistant a clear basis for answering product questions. Here is a simplified fictional example:

{
  "products": [
    {
      "id": 1,
      "name": "Laptop",
      "description": "Powerful laptop with the latest specifications",
      "price": 1200,
      "category": "Electronics"
    },
    {
      "id": 2,
      "name": "Smartphone",
      "description": "Smartphone with an excellent camera",
      "price": 800,
      "category": "Electronics"
    }
  ]
}

A customer could ask, “Which laptop do you have for under EUR 1,500?” Using this example dataset, the assistant can identify the laptop priced at EUR 1,200. A real implementation must also establish the currency and keep prices and availability current.

ChatGPT can support customer service, marketing, analysis, development and process automation. With appropriate integration and review, it can help teams work more efficiently and improve the customer experience.

You can explore the product at ChatGPT.