Generative AI can produce text, images, code and summaries from a short instruction. For growing businesses, the attraction is obvious: more output with the same team.
The reality is more nuanced. Generative AI is powerful in some situations and risky in others, and understanding the difference matters more than following the latest trend.
The key idea
Use generative AI to speed up work that people can review, not to replace review itself.
Where it can create value
Businesses commonly explore it for drafting and editing content, summarising long documents, preparing first versions of presentations, generating ideas and assisting with routine code.
Drafting: emails, proposals and internal documents
Summarising: meetings, research and long reports
Exploring: brainstorming options and alternatives
Supporting: answering common internal questions
Where it needs caution
Generative AI can sound confident while being wrong. It may also reflect gaps or bias in the information it learned from.
Take particular care with legal, financial, medical or safety-related content, and with anything that includes personal or confidential information.
Where to start
Choose a low-risk task, agree who reviews the results, and set simple rules about what information should never be entered. Keep a record of what works and what does not.
As confidence grows, expand to other tasks step by step.
Building good habits
Treat outputs as drafts. Check facts. Keep humans accountable for the final result. Businesses that build these habits early are better placed to use new tools as they change.
This article is an educational guide published by Denkora. It is intended to provide general information and does not represent investment, legal, financial or business advice.