Compliance functions are under increasing pressure from expanding regulatory requirements, rising operational costs, and heightened expectations for accuracy and auditability.
Much of the compliance workload is repetitive, rules‑based, and data‑intensive — making it an ideal candidate for Robotic Process Automation (RPA). Implementing RPA will reduce manual effort, improve control effectiveness, and free compliance professionals to focus on higher‑value judgement‑based work.
Compliance teams face several operational challenges and strategic risks which RPA can help to solve.
How Does RPA help solve these compliance issues?
RPA improves compliance efficiency by improving accuracy, reducing risk and strengthening compliance processes.
RPA supports audit readiness and documentation accuracy, provides complete audit trails for compliance teams and improves quality of regulatory reporting requirements.
RPA helps reduce compliance risk, helps identify and improve compliance breaches and supports real time compliance monitoring
How does RPA Improve Compliance ?
RPA reduce compliance risk by preventing human error, strengthen control execution and improving audit trails.
RPA can make compliance faster and more efficient by Speeding up monitoring and reporting, reducing manual workloads and shortening audit cycles.
Example Compliance Processes Suitable for RPA
🧭 Core Compliance Process Tasks
📚 1. Regulatory and Policy Tracking
- Monitoring new laws, regulations, and industry standards
- Reviewing updates from regulators and industry bodies
- Mapping regulatory requirements to internal processes
📝 2. Policy Development and Maintenance
- Drafting and updating internal policies and procedures
- Ensuring policies reflect current legal and regulatory expectations
- Communicating policy changes across the organisation
🎓 3. Training and Awareness
- Creating compliance training programs
- Conducting mandatory training (e.g., data protection, anti‑bribery)
- Tracking completion and effectiveness of training
🔍 4. Risk Assessment
- Identifying compliance risks across business units
- Performing periodic risk assessments
- Prioritising risks and recommending mitigation strategies
🕵️ 5. Monitoring and Testing
- Conducting routine compliance checks
- Testing controls to ensure they work as intended
- Reviewing business activities for adherence to policies
📊 6. Reporting and Documentation
- Preparing compliance reports for leadership or regulators
- Documenting incidents, decisions, and audit trails
- Maintaining evidence of compliance activities
🚨 7. Incident Management
- Receiving and investigating compliance breaches or complaints
- Managing whistleblowing reports
- Implementing corrective and preventive actions
🔐 8. Third‑Party and Vendor Compliance
- Performing due diligence on suppliers and partners
- Reviewing contracts for compliance clauses
- Monitoring ongoing third‑party risks
🧪 9. Internal and External Audits
- Preparing for audits
- Coordinating with auditors
- Responding to findings and implementing remediation
🔄 10. Continuous Improvement
- Reviewing compliance program effectiveness
- Updating processes based on lessons learned
- Benchmarking against industry best practices
🤖 Compliance Tasks Well‑Suited for RPA
📥 1. Data Collection and Aggregation
Many compliance processes rely on pulling data from multiple systems. RPA excels here.
- Extracting data from ERP, CRM, HR systems
- Collecting logs or transaction data for monitoring
- Consolidating data into compliance dashboards
- Pulling regulatory updates from defined sources
Why RPA works: High volume, structured, repetitive.
📑 2. Document and Evidence Management
Compliance requires a lot of documentation — perfect for automation.
- Gathering evidence for audits
- Filing documents into the correct repositories
- Checking document completeness
- Version control and archiving
Why RPA works: Clear rules and predictable workflows.
🔍 3. Monitoring and Control Testing
RPA can perform routine checks far more consistently than humans.
- Running automated control tests (e.g., segregation of duties checks)
- Flagging anomalies or exceptions
- Checking transactions against policy thresholds
- Monitoring access rights and user permissions
Why RPA works: Rules‑based decision logic.
🧾 4. Regulatory Reporting
While humans still validate the final output, RPA can prepare most of the groundwork.
- Pre‑populating regulatory forms
- Extracting required data fields
- Validating data formats
- Generating draft reports for review
Why RPA works: Structured templates and repeatable cycles.
🕵️ 5. Third‑Party Due Diligence
Vendor compliance checks often involve predictable steps.
- Screening vendors against sanctions lists
- Collecting documentation (certificates, attestations)
- Checking expiry dates and sending reminders
- Updating vendor risk profiles
Why RPA works: High volume and rule‑driven.
📬 6. Notifications and Follow‑Ups
Compliance teams spend a lot of time chasing people — RPA can take over.
- Sending reminders for mandatory training
- Notifying stakeholders of policy updates
- Following up on overdue tasks
- Triggering alerts for compliance breaches
Why RPA works: Event‑driven and repetitive.
🧮 7. Audit Preparation
Audits are heavy on data gathering and formatting.
- Collecting audit samples
- Preparing audit evidence packs
- Validating completeness of audit trails
- Cross‑checking data against audit requirements
Why RPA works: Structured, predictable, and time‑consuming.
🧠 Where RPA is less suitable
Just to keep expectations realistic, RPA is not ideal for:
- Complex judgement calls
- Interpreting ambiguous regulations
- Investigating nuanced incidents
- Designing policies or frameworks