Generative AI: use cases

June 25, 2026 · Baoss
Generative AI in the enterprise is no longer an experiment: applied to concrete processes, it reduces costs, speeds up tasks and improves the experience of customers and employees. The key to ROI lies in choosing bounded, measurable use cases. Here are 10 with proven impact.

What is generative AI applied to business?

It is the use of models capable of creating text, code, images or summaries to automate and assist everyday tasks, integrated securely into the company’s systems.

10 generative AI use cases with ROI

  1. Customer service: assistants that resolve queries 24/7 and reduce response times.
  2. Internal knowledge search: answering using the company’s own documentation (RAG).
  3. Content generation for marketing and sales.
  4. Software development assistance (code co-pilot).
  5. Meeting summaries and document summarization.
  6. Contract analysis and legal documentation.
  7. Sales support: personalized proposals and emails.
  8. Ticket and email classification and triage.
  9. Translation and localization at scale.
  10. Assisted internal onboarding and training.
Related image showing a BAOSS professional using a tablet to search confidential internal information through a Generative AI assistant that retrieves answers from company documents.

How is the ROI of generative AI measured?

With before/after metrics: hours saved, response time, resolution rate, conversion or error reduction. Start with a pilot with a clear indicator and scale what works.

How to get started with confidence?

  • Choose one bounded, high-value use case. Read more about our artificial intelligence solutions.
  • Take care of data security and privacy.
  • Keep people in the loop (human-in-the-loop).
  • Measure, iterate and then scale.

Related close-up image showing the hands of a BAOSS developer typing code on a monitor, with an AI assistant (Co-pilot) suggesting and completing blocks of code to improve efficiency.

Frequently asked questions

Is generative AI safe for confidential data? Yes, with private deployments, access control and appropriate data policies. There is no need to expose sensitive information to public services. Do I need a lot of data to get started? Not always. Many use cases leverage pre-trained models combined with your documentation through RAG. Want an AI pilot with ROI? At BAOSS we identify the ideal use case and put it into action. Write to us.  

Prefer to talk to us directly? Contact the BAOSS team and tell us about your challenge.