12 business process automation examples
- 01
Lead capture and routing
Create or update the CRM record, remove duplicates, apply routing rules, acknowledge the enquiry, and track response time.
- 02
Quote preparation and approval
Bring customer, product, price, and margin data together; generate the draft; route only exceptions for approval.
- 03
Document intake
Collect email attachments or uploads, extract required fields, validate them, and send uncertain cases to review.
- 04
Customer onboarding
Create accounts, request documents, assign tasks, schedule milestones, and expose one shared status.
- 05
Order validation
Check customer, price, stock, delivery, tax, payment, and required fields before releasing an order downstream.
- 06
Inventory exception handling
Detect shortages, mismatches, or delayed replenishment and route them with the context needed for a decision.
- 07
Invoice and approval flow
Match invoice data with purchase and receipt records, apply approval policy, and retain the decision trail.
- 08
Payment reconciliation
Match provider, bank, order, refund, and accounting records; surface only unresolved differences.
- 09
Returns and refunds
Validate eligibility, create the return, coordinate stock and payment actions, and keep the customer informed.
- 10
Support triage
Classify requests, retrieve customer and order context, route the case, and draft a response for review where useful.
- 11
Recurring operational reporting
Pull governed data from source systems, apply stable calculations, publish the report, and flag data-quality failures.
- 12
Compliance evidence collection
Request required evidence, check completeness, remind owners, record approvals, and keep an auditable history.
Match the workflow to a business result
| Business result | Processes to inspect first |
|---|---|
| More team capacity | Document intake, reporting, reconciliation, order entry |
| Faster revenue flow | Lead routing, quotes, order validation, onboarding |
| Fewer costly errors | Pricing, invoices, payments, inventory, returns |
| Better customer experience | Status updates, support triage, onboarding, returns |
| Better control | Approvals, exception queues, audit evidence, dashboards |
Where AI helps—and where ordinary rules are better
Use ordinary automation for exact calculations, permissions, routing tables, required fields, and deterministic checks. It is easier to test and explain. Use AI when the workflow must interpret variable language or documents, search approved knowledge, or propose a classification or draft.
A dependable design often combines both: AI proposes structured information, rules validate important fields, and a person reviews uncertain or consequential cases.
Avoid automating an isolated task
Generating a draft, extracting a field, or sending a notification can save seconds while leaving the larger delay untouched. Trace what happens before and after the proposed automation. If employees still search for context, re-enter the output, chase approval, or repair failures manually, the process has not been improved end to end.
Choose the first workflow with evidence
Shortlist three processes and compare monthly volume, handling time, waiting time, correction rate, rule stability, data readiness, and ownership. Select the one that combines material value with a controlled delivery boundary.
- Use a sample of real cases instead of estimates alone.
- Include difficult cases in feasibility testing.
- Define what remains manual before promising full automation.
- Agree on one primary result and a safe fallback before building.