Examples
Seven AI agents examples across support, sales, proposals, claims, invoicing and operations. Each one shows what the agent does and what changed after launch.
Updated 5 min read
The short answer
An AI agent is software that takes a goal, uses your business tools and completes steps on its own, handing hard cases to a person. The AI agents examples below show where agents work today: answering customers, qualifying leads, drafting proposals and processing documents.
Key points
Examples
Four come from Nexum client projects. Three come from public company announcements.
Customer support
Klarna's AI assistant answers customer service chats on its own. It reached 2.3 million conversations, two-thirds of all chats.
2.3Mconversations handled
SaaS
The agent resolves most first-line questions and passes complex cases to a person with the full history attached.
85%of Tier-1 inquiries resolved
Read the case →Real estate
A custom voice agent picks up each call, qualifies the caller and books a viewing without staff involved.
+47%booked viewings in 60 days
Read the case →E-commerce
New leads get a reply by SMS, email or voice call in under 20 seconds, day or night, instead of 6 to 12 hours.
+34%conversion rate
Read the case →Government contracting
The workflow pulls past performance, checks compliance and formats the document to spec. A team that sent 3 to 4 bids a quarter now sends 12 or more.
3xproposal capacity
Read the case →Insurance
The agent checks the policy and recommends a decision, so adjusters only handle complex claims.
75%faster claims processing
Read the case →Manufacturing
GE Appliances deployed more than 800 AI agents across manufacturing, logistics and supply chain operations.
25%fewer backorders
Each agent owns one narrow, repeated job. None tries to run the whole company.
Most of the Nexum builds above run on the client's existing CRM, inbox, phone and accounting tools. Nobody had to switch software.
Every agent hands the hard cases to a person. That keeps quality high while the routine work disappears.
Classic automation follows fixed rules. It breaks when an email, invoice or question looks different than expected.
Generative AI agents examples like the support and proposal agents above read free text, decide what it means and then act. That is why they can handle messy inputs.
For the fixed, predictable steps, plain automation is still the cheaper choice. Many good systems mix both. See our AI automation guide.
Not every win needs an agent. A law firm stopped typing invoices by hand when an assistant began reading each one, matching it to the right Clio case and syncing it to QuickBooks.
The agent returned 40+ hours each month to the firm, at 99.8% data accuracy. It is one of the simplest AI automation examples we have built.
For more ideas across functions, see AI use cases by business function.
Start with the task your team repeats most and that costs the most time. Put a dollar figure on it.
Pick a job with clear inputs and a clear definition of done. Agents do best when success is easy to check.
If you want to know how one is built, read how to build AI agents or the AI agent definition.
Our data
We asked ChatGPT, Gemini and Perplexity 10 buyer questions about AI agent development. They named 103 companies, and 79% appeared in only one of the three.
| Criterion | ChatGPT | Gemini | Perplexity |
|---|---|---|---|
| Companies named | 44 | 36 | 48 |
| Sites cited most | masterofcode.com (4 of 10) | devcom.com and neurons-lab.com (3 of 10) | litslink.com and brocoders.com (4 of 10) |
Nexum measurement, October 20, 2026, via DataForSEO: 10 buyer questions to each AI, US English, 30 answers in total. 3 companies appeared in all three. Google showed an AI Overview for 8 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
