Generative artificial intelligence
Generative AI produces text, images or other content from instructions. Its output is a proposal, not a guarantee of factual accuracy.
How it works
A model learns patterns from data. At runtime, answers depend on the supplied context, model capabilities and system rules. Connecting answers to sources supports review but does not eliminate mistakes.
Hypothetical small business example
A small business could draft a reply to a recurring inquiry using approved documentation, with a person reviewing it before sending.
Benefits and limitations
Reduce drafting time and explore alternative wording.
Factual errors, confidentiality and content rights require appropriate review. Check the provider and engagement before submitting confidential documents.
Common question
Should it replace human decisions?
No. Start with reversible assistance and evaluate mistakes on representative examples before authorizing autonomous actions.
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Business Automation & Practical AI
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