RPA Governance and Compliance
RPA Governance is the set of policies, processes, roles, and controls that ensure bots are built consistently, deployed securely, and operated reliably. Governance answers the question: "How do we make sure every bot in this organisation meets our quality, security, and compliance standards?"
Without governance, every team builds bots differently, sensitive data is handled inconsistently, compliance risks go undetected, and the programme becomes impossible to scale or audit.
The Four Pillars of RPA Governance
┌───────────────────────────────────────────────────────┐ │ RPA GOVERNANCE FRAMEWORK │ │ │ │ ┌──────────────┐ ┌──────────────┐ │ │ │ STANDARDS │ │ CONTROLS │ │ │ │ How bots │ │ Who can do │ │ │ │ are built │ │ what, when │ │ │ └──────────────┘ └──────────────┘ │ │ │ │ ┌──────────────┐ ┌──────────────┐ │ │ │ COMPLIANCE │ │ OVERSIGHT │ │ │ │ Regulatory │ │ Monitoring │ │ │ │ requirements│ │ and audit │ │ │ └──────────────┘ └──────────────┘ │ └───────────────────────────────────────────────────────┘
Pillar 1: Development Standards
Every bot should be built the same way, regardless of who built it. Development standards define how bots are structured, what must be logged, how errors must be handled, how credentials must be managed, and what documentation must be produced.
Typical Development Standards
- All bots must use the REFramework architecture
- All credentials must be stored in the Orchestrator Credential Store — no exceptions
- All configurable values must be stored as Orchestrator Assets
- Every workflow must include a Try-Catch and Global Exception Handler
- Logging must record every transaction start, end, success, and failure
- All bots must include a PDD, SDD, and signed UAT before deployment
- Naming conventions must follow the approved standard (camelCase variables, in_/out_ prefixes for arguments)
- Reusable components must be stored in the shared library, not duplicated per project
Pillar 2: Access Controls
Not every person should have the same level of access to the RPA platform. Role-based access controls (RBAC) ensure that people can only do what their role requires.
| Role | Permissions |
|---|---|
| RPA Administrator | Full platform access — manage users, environments, robots, packages |
| RPA Developer | Publish packages, edit processes in DEV and UAT, view logs |
| RPA Operator | Trigger jobs, manage queues, view logs, cannot deploy or edit |
| Business User | Trigger specific attended bots only — no platform administration |
| Auditor | Read-only access to logs and audit trails only |
Pillar 3: Regulatory Compliance
In regulated industries, bots interact with systems and data that are subject to legal requirements. Governance must ensure bots comply with applicable regulations.
Key Regulations Affecting RPA
| Regulation | Industry | RPA Impact |
|---|---|---|
| GDPR | All (EU) | Bots handling personal data must minimise data retention, log access, and support right-to-erasure |
| SOX (Sarbanes-Oxley) | Finance / Public companies | Financial bots must maintain complete, immutable audit trails |
| HIPAA | Healthcare (US) | Bots accessing patient data must be access-controlled, encrypted, and logged |
| PCI-DSS | Payments | Bots handling card data must never log card numbers; encrypted storage required |
| Basel III / IV | Banking | Risk-related automation must have human oversight checkpoints |
GDPR Compliance Checklist for RPA Bots
- Does the bot access personal data? If yes, is there a legal basis (contract, legitimate interest, consent)?
- Does the bot store personal data? If yes, for how long and where?
- Are logs sanitised — do they exclude personal data like names, addresses, and national IDs?
- Can the bot support a Subject Access Request (SAR) — telling an individual what data the bot processed about them?
- Is personal data encrypted in transit and at rest on the bot machine?
Pillar 4: Audit Trail and Oversight
An audit trail records every action the bot takes — what it did, when, with what data, and what result it produced. Regulators and internal auditors use audit trails to verify that automated processes comply with rules and detect fraud or errors.
What a Complete Audit Trail Includes
ORCHESTRATOR LOG ENTRY EXAMPLE: ───────────────────────────────────────────────────────── Timestamp: 2024-03-15 09:34:22 IST Bot Name: InvoiceBot_Prod Machine: VM-Prod-01 Job ID: JOB-20240315-001 Action: Invoice INV-2024-0451 posted to SAP Input: Vendor: Acme Ltd | Amount: $1,500.75 Output: SAP Document: 1900034521 Status: Success User Context: RPA Service Account (SAP_RPA_USER) ───────────────────────────────────────────────────────── Every single transaction has a record like this. Auditors can trace any SAP posting back to: → Which invoice triggered it → Which bot processed it → Exactly when it happened → Which machine it ran on
Change Management Controls
Every change to a production bot must go through a formal change management process. This prevents unauthorised modifications and provides a record of what changed and why.
CHANGE CONTROL PROCESS:
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Developer raises a Change Request (CR) describing the change
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CR reviewed by CoE Lead + Process Owner + IT Security
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CR approved → Development and testing in lower environments
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UAT sign-off for significant changes
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Production deployment scheduled in a maintenance window
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Deployment recorded in Change Log with version number
Bot Identity and Service Accounts
Each bot should run under a dedicated service account — a system user created specifically for the bot. This enables precise access control (the bot only has permissions for the systems it needs) and a clear audit trail (all actions logged under the bot's identity, not a shared human account).
- Never use a human employee's credentials for a bot — the employee might leave and the account gets deactivated
- Never share a service account between multiple bots — cross-audit trails become impossible
- Apply the principle of least privilege — the bot service account has only the permissions it actually needs
Summary
RPA governance ensures every bot in the programme meets the same quality, security, and compliance standards. Development standards enforce consistent architecture and documentation. Access controls restrict what each role can do on the platform. Regulatory compliance ensures bots meet GDPR, SOX, HIPAA, and other relevant requirements. Complete audit trails satisfy regulators and internal auditors. Change management controls prevent unauthorised modifications. Dedicated service accounts isolate bot identity and enable precise permission control. Governance is not bureaucracy — it is the infrastructure that allows an RPA programme to scale safely and sustainably.