Examples
Six workflows where rules, bots, AI and a person work together. Each one shows who does what, so you can spot the same pattern in your own company.
Updated 5 min read
The short answer
Intelligent automation examples combine rule-based steps with AI that reads, decides or drafts, and a person who approves the exceptions. Typical cases are invoice processing, insurance claims, onboarding documents, customer emails, reconciliation and proposals.
Key points
Examples
Results are shown only where they come from a client project we can quote.
Finance
Rules check amounts. A bot files the entry. AI reads each invoice and matches it to a case. A bookkeeper approves odd ones.
40+hours back every month
Read the case →Insurance
AI reads documents and photos. Rules check the policy. A bot updates the file. An adjuster decides complex claims.
75%faster claims processing
Read the case →Operations
AI extracts fields from IDs and forms. Rules flag missing items. A bot creates accounts. A coordinator signs off.
Read the case →Support
AI reads each message and drafts a reply. Rules route by topic. A bot logs the case. An agent reviews sensitive replies.
85%of Tier-1 inquiries resolved
Read the case →Accounting
A bot pulls bank and ledger data. Rules match the clear pairs. AI proposes matches for the rest. An accountant approves.
Read the case →Sales
AI pulls past performance and checks compliance. Rules enforce the format. A bot assembles the file. A lead approves it.
3xproposal capacity
Read the case →Rules
Fixed steps run the same way every time.
Bots
Move data between your tools.
AI
Reads documents and drafts text.
Person
Approves important decisions.
A good intelligent automation example has four parts. Rules cover the fixed steps. Bots move data between systems. AI handles reading and judgment. A person approves what matters.
Each example above follows this split, so you can see where each part earns its place.
Expected
Achieved
Deloitte's 2022 survey found organisations expect an average cost reduction of 31 percent over three years, up from 24 percent in 2020.
Those that moved beyond piloting report an average of 32 percent already achieved.
One financial services executive in the same research described cost reduction above 70 percent in a targeted area after re-engineering the process.
Finance
Invoices, matching, reports.
Support
Email triage and replies.
Sales
Proposals and follow-up.
IT
Request routing and fixes.
Business process automation use cases usually start where work repeats daily: finance, support, sales and operations.
Intelligent process automation use cases add AI to those same flows, so messy inputs like scanned forms or free-text emails no longer need hand sorting.
IT process automation use cases fit as well: requests get triaged, routine ones answered, the rest handed to a person with context.
Intelligent automation
Plain bots only
Vendors use several labels for similar ideas. IBM uses hyperautomation for the wider goal of automating whatever an organization can.
Intelligent automation is narrower in practice: it adds AI to bots and rules for specific processes. For the concept itself, read our intelligent automation guide, or see how AI vs intelligent automation differ.
Intelligent process automation examples are the same idea seen from the process side.
Highest cost goes first
Pick one process with high volume and clear rules plus one messy step, such as reading a document. Put a dollar figure on the hours it takes.
Our AI consulting work starts with that costed list, then builds the top item on your current tools.
Our data
We asked ChatGPT, Gemini and Perplexity 10 buyer questions about business process automation. They named 123 companies, and 86% appeared in only one of the three.
| Criterion | ChatGPT | Gemini | Perplexity |
|---|---|---|---|
| Companies named | 39 | 45 | 60 |
| Sites cited most | ibm.com and promenteur.com (4 of 10) | zapier.com and dailyemerald.com (2 of 10) | dailyemerald.com (6 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 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
