40 RPA Use Cases by Department (With Examples)

40 RPA use cases by department cover illustration

RPA works best on tasks that are repetitive, rule-based and done on a computer. Nearly every department has some. Rather than a long list of generic ideas, this guide groups 40 practical RPA use cases by function, with what the bot does and where a person stays involved. Use it to spark ideas, then score each against the criteria in our RPA strategy guide.

Key takeaways

  • The strongest use cases are high-volume, rule-based and involve moving data between systems.
  • Finance, HR, customer service, supply chain and IT teams all have common candidates.
  • Add AI where inputs are unstructured; keep people involved in exceptions and judgement calls.
  • Check for an API first; use RPA when screens are the only way in.
Six areas where RPA is commonly used: finance, HR, customer service, supply chain, IT, insurance and banking
Finance and customer operations are usually the first places organisations automate.

Finance and accounting

Use caseWhat the bot doesHuman role
Invoice processingReads invoice data, matches to purchase orders, posts to ERPResolve mismatches
Bank reconciliationMatches bank lines to ledger entriesReview unmatched items
Expense claimsChecks receipts against policy and flags breachesApprove exceptions
Month-end closeCollects reports, runs checks and updates schedulesReview and sign off
Payment runsPrepares files and sends status updatesApprove payment
Tax and statutory filingsGathers data and fills portal formsReview before submission

Human resources

Use caseWhat the bot doesHuman role
Employee onboardingCreates accounts, records and access requestsWelcome and training
Payroll inputsCollects attendance and leave data into payrollApprove payroll
Candidate screening dataMoves applicant data between systemsInterview and decide
Leave and attendance updatesSyncs records across HR systemsHandle disputes
OffboardingRevokes access and updates recordsExit conversations

Customer service and sales

Use caseWhat the bot doesHuman role
Case creationTurns emails and forms into ticketsResolve complex cases
Order status updatesLooks up status and sends updatesHandle complaints
Refund processingChecks eligibility and issues standard refundsApprove large or unusual refunds
CRM data entryUpdates customer records after calls and emailsRelationship management
Quote generationPulls prices and builds standard quotesNegotiate and close

Supply chain and operations

Use caseWhat the bot doesHuman role
Order entryKeys purchase orders from emails or portals into ERPResolve exceptions
Shipment trackingChecks carrier sites and updates statusesHandle delays
Inventory updatesSyncs stock levels between systemsPlan replenishment
Supplier onboardingCollects documents and creates vendor recordsApprove suppliers

See our supply chain automation guide for more.

IT and security operations

  • User provisioning: create accounts and permissions from an approved request.
  • Password resets: verify identity with rules and reset without a ticket.
  • Monitoring and reporting: collect system data and compile daily health reports.
  • Software licence tracking: compare installed software with licences.
  • Backup checks: confirm jobs ran and raise tickets when they did not.

Banking, insurance and healthcare

  • KYC checks: gather data from registries, compare with applications and flag mismatches.
  • Claims intake: create claims from submitted forms and attachments, then route by type.
  • Loan processing: collect data across systems for underwriters.
  • Appointment and billing data: move patient scheduling and billing information between systems, subject to privacy rules.
  • Policy changes: update records across core systems after approved changes.

Real estate and other industries

Property managers use bots for rent reminders, lease data and maintenance requests; see RPA in real estate. Retailers use them for catalogue updates and order processing, and utilities for meter data and customer billing.

How to choose from this list

  • Pick candidates your team already complains about; they are usually high-volume.
  • Score each for volume, rules, stability and benefit.
  • Check whether an API or workflow tool is simpler; see workflow automation tools compared.
  • Start with a process that is visible but low-risk.
  • Follow RPA best practices during design, and secure your bots from the start.

Frequently asked questions

What is the best first RPA use case?

Many teams start with invoice processing, data entry between two systems or report generation, because they are frequent, rule-based and easy to measure.

Can RPA handle unstructured documents?

Not on its own. Combine it with document AI or language models; see cognitive RPA and intelligent document automation.

How many processes should we automate at first?

Two or three well-chosen processes are enough to prove value and learn how to support automations.

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