ChatGPT in business: defining a useful use case
By the AXELITES team
A conversational tool such as ChatGPT can help draft, rephrase or explore information. To use it in a company, however, the task, permitted data and result checks must be specified. This resource offers a framework for reflection without fixing features or offering terms that may evolve with the service.
Choose a bounded use case
Preparing an initial response, rephrasing a document and organising ideas are different tasks. Each requires suitable context and a level of validation. A first use case should be precise enough to compare the result with expectations. This scope helps explain what the tool adds, the errors it may produce and the actual time needed to turn its proposal into content the team can use in daily work.
Control the context you share
A request should provide useful information without exposing unnecessary data. The company must define permitted content and check the terms applicable to the service used. Context quality also affects result quality: audience, objective and constraints must be explicit. These rules keep usage understandable instead of leaving each person to decide alone which company information to transmit and how to retrieve it later.
Verify before reusing
A fluent response can contain an error, an inappropriate interpretation or invented information. The result must therefore be reviewed according to its use: factual accuracy, consistency with procedures and relevance to the recipient. For a recurring process, reference examples help evaluate quality over time. Assistance can support work, but responsibility for publishing or acting must remain assigned to people who know the company's context.
Frequently asked questions
- Can a response be used as it is?
- It must be checked according to the consequences of its use. Correct wording may contain inaccurate facts or overlook an internal rule. The responsible person must check information and adapt the result to its context before publishing, sending or using it to act.
- Which use case should we start with?
- Choose a frequent, bounded task whose result can be evaluated easily. Define permitted data and quality criteria before the trial. Then compare proposals with existing practices, including review time and cases where human intervention remains necessary.
Define a first AI use case
Describe the task and information that could support a controlled form of assistance.
Talk to AXELITES
