Examples
Seven generative AI examples from everyday business work. Each one shows what the AI produces and which checks a person keeps.
Updated 5 min read
The short answer
Generative AI examples in business include drafting proposals, writing support replies, summarizing documents, producing marketing content and writing code. In each case the AI creates a first version, and a person checks it before it reaches a customer.
Key points
Examples
Each example shows what the AI produces and what a person still reviews.
Sales and bids
The AI pulls from past proposals and the new request to write a first draft. A person checks pricing, scope and claims before it is sent.
60h to <1hper proposal at a contractor
Read the case →Customer service
The AI drafts an answer from your earlier tickets and help content. Simple questions go out fast, and complex cases move to a person with the full context.
85%of Tier-1 inquiries resolved
Read the case →Legal and insurance
The AI reads contracts, claims files or reports and writes a short summary with the key points. A person confirms the details that carry risk.
75%faster claims processing
Read the case →Sales operations
The AI turns an incoming request into a written quote or reply. A person reviews anything unusual before it goes out.
32 secemail quote time at one Microsoft customer
Marketing
The AI drafts emails, product descriptions and campaign copy in your tone. A person checks facts, claims and brand fit before publishing.
Read the case →Software teams
The AI suggests code, tests and documentation for common tasks. Developers review every change before it is merged.
E-commerce
The AI writes and sends a first message to each new lead by SMS, email or voice. A person takes over once the lead replies with a real question.
+34%conversion rate
Read the case →Generative AI creates new content from what you give it: text, summaries, replies and code. It does not look up one right answer. It writes a likely good one.
That makes it strong at first drafts and weak at anything that must be exactly right every time. The examples above all use it that way.
Every example above keeps a person in the loop where a mistake would cost money or trust. Prices, legal terms and customer promises get a review.
Low-risk drafts can go out faster. High-risk ones wait for approval. You decide where that line sits.
3.8%
of businesses used AI to produce goods or services in 2023
$3.7
return per $1 in generative AI, a vendor figure
Use is still early. The U.S. Use was still rare in 2023: the Census Bureau’s Business Trends and Outlook Survey put AI in production of goods and services at 3.8% of businesses, varying by sector.
Microsoft, a vendor, cited an IDC survey in November 2024 that put the return at $3.7 for every $1 invested in generative AI. Treat that as a vendor figure, not a neutral benchmark.
Look for writing work your team repeats every week. Count the hours and put a dollar figure on them.
Then start with the example that has the highest cost and the lowest risk. Our AI use cases page covers more functions, and AI agents examples shows systems that act, not only write.
Our data
We asked ChatGPT, Gemini and Perplexity 10 buyer questions about custom AI development. They named 100 companies, and 80% appeared in only one of the three.
| Criterion | ChatGPT | Gemini | Perplexity |
|---|---|---|---|
| Companies named | 43 | 35 | 46 |
| Sites cited most | hatchworks.com (3 of 10) | vellum.ai and mindstudio.ai (3 of 10) | rtslabs.com and netguru.com (4 of 10) |
Nexum measurement, October 20, 2026, via DataForSEO: 10 buyer questions to each AI, US English, 30 answers in total. 4 companies appeared in all three. Google showed an AI Overview for 9 of the 10 questions.
FAQ
Final step
You leave knowing which processes to automate first and what each one costs you today, whether we work together or not.
You can keep paying for manual work, or find out this week exactly what it costs you.
What happens on the call
Before
You answer 3 quick questions when you book, so we come prepared.
On the call
We find the manual work that costs you most and put a number on it, live.
Decide
An honest read on whether we're the right fit. If we're not, you'll hear it on the call.
Once you book, we look at your site and tools before the call, so the 30 minutes go to your numbers, not introductions.
Prefer to write first? Email us directly: contact@nexumautomations.com
