ChatGPT Business Uses: Slack, Expedia and Instacart Examples

ChatGPT’s business value depends on what it can do inside a workflow. The examples here point to three practical roles: helping teams find and interpret information, guiding customers through choices, and connecting recommendations to transactions. That shift could improve service and save time, but it also brings questions about sensitive data, accuracy and how well the technology fits existing systems.

Those questions help explain why some large companies have restricted employee use of generative AI tools. They see potential in the technology while weighing the possibility that workers could expose confidential or proprietary information. The tension is straightforward: companies want to explore new capabilities while controlling what data employees share and how AI-generated answers are used.

For business leaders, the examples below offer a clearer starting point than broad claims about transformation. Each shows a different way conversational AI might enter a customer or employee experience. None, on its own, resolves the practical work of testing the system, setting boundaries and preparing people to use it.

Slack: Bringing answers into the workday

Slack’s ChatGPT integration is presented as a way to bring AI assistance into a workspace where teams already communicate. In principle, employees could ask for help analyzing information, finding competitive insights or preparing material relevant to a business decision, without switching between as many tools.

The potential appeal is not limited to senior leaders. An assistant available through a team’s existing communication environment could help staff summarize discussions, draft responses or work through routine questions. If those uses are reliable, employees may spend less time on repetitive tasks and more on work that requires judgment, expertise or direct collaboration.

But the idea of an always-available consultant needs careful qualification. A chatbot can produce a useful draft or suggestion, yet the company still needs people to check its output, particularly when decisions depend on accurate data. Access to internal information also raises a separate design challenge: teams need to decide which material the assistant can use and how sensitive content is handled.

Putting the tool where employees work may reduce the friction of trying it. It doesn’t, by itself, establish that the answers are accurate, that the tool has access to the right context or that employees know when to rely on it. Those details will shape whether the integration saves time in practice.

Expedia: Connecting trip ideas to bookings

Travel planning illustrates why conversational AI could matter beyond answering questions. The source describes using ChatGPT to assemble an itinerary for Montenegro, including restaurants, hotels and activities, then moving that information into Beautiful.ai to create a presentation. The planning was quick, but the recommendations still had to be transferred elsewhere to turn them into bookings.

Expedia’s ChatGPT integration points toward a more connected experience: a customer can describe a trip in conversation and get assistance with planning inside a travel service. The business opportunity is to shorten the path between a broad request, such as planning a holiday, and useful options a customer can consider. That may make it easier for people to move from exploring possibilities to booking.

This is a form of conversational commerce. Rather than navigating a series of separate search and booking steps, a customer can explain preferences in ordinary language and refine the results through follow-up questions. The same general approach could apply in other areas where people weigh several choices before buying or signing up for a service.

There are limits. The source describes Expedia’s feature as being in beta, which means the experience still requires refinement. A conversational interface also has to work with the company’s existing systems and present recommendations clearly enough for customers to make informed choices. Businesses need to account for both technical integration and the effect of new workflows on staff and customers.

Instacart: Turning a recipe into a shopping list

Instacart’s “Ask Instacart” feature offers a more concrete retail example. A customer could ask for a recipe and have its ingredients added to a shopping list for delivery. Instead of treating the service only as a place to buy items a shopper has already selected, the feature could help them decide what to make and what they need.

That changes the interaction from a straightforward product search into assistance shaped by a customer’s request. Someone looking for a particular meal can get help moving from an idea to the ingredients needed to prepare it. The feature’s usefulness will depend on the quality of its responses and how smoothly suggestions become an accurate, editable list.

The wider business lesson is that conversational tools can connect discovery to a purchase. In grocery shopping, that means linking a recipe to ingredients. Other businesses could explore similar flows when customers need help narrowing options before they act. The experience may build a closer relationship with customers, provided the assistance is relevant and makes the task easier.

What businesses should watch

Across these examples, the strongest case for ChatGPT is as a layer between people and services: a way to ask questions, get tailored suggestions and continue toward a task without repeatedly changing context. Slack focuses on employees; Expedia and Instacart focus on customers. In each case, the interface could reduce effort, while the business gains another way to understand what users need.

The experience customers have with one service can shape what they expect from others. That raises the bar for companies considering conversational features, but adoption alone won’t meet it. The assistant needs to be useful, its limits need to be clear, and the organization needs to handle data and integration responsibly.

That’s the practical test for business use: can ChatGPT make a real task easier while producing results people can trust and review? Slack, Expedia and Instacart show distinct ways to pursue that goal. Their next measure of value will be how well these features perform in everyday use and how effectively teams address the remaining questions around reliability, data access and workflow fit.