How do you implement RPA governance and a Center of Excellence?

RPA governance ensures automation quality, security, and scalability across the organization. CoE structure: RPA program manager (strategy, roadmap, stakeholder management), solution architects (design standards, technical oversight), developers (build and maintain bots), business analysts (process documentation, requirements), and infrastructure team (bot servers, credentials, monitoring). Governance framework: (1) Intake and prioritization: standardized request process, business case template, and prioritization committee. (2) Development standards: coding conventions, naming standards, error handling patterns, logging requirements, and code review process. (3) Change management: version control for bot code, approval workflow for production changes, rollback procedures, and release management. (4) Security: credential management (vault-based, never hardcoded), access control (least privilege for bot accounts), audit logging (all actions recorded), and data handling policies (PII treatment, data retention). (5) Monitoring: bot health dashboards, execution success rates, SLA tracking, and proactive alerting. Operating model: shared services (CoE builds and maintains all bots, best control), federated (CoE sets standards, business units build their own bots, better scale), or hybrid (CoE handles complex automations, citizen developers handle simple ones). Citizen developer program: train business users on low-code automation tools, provide templates and best practices, implement guardrails (approved applications list, data sensitivity restrictions), and require CoE review before production deployment. Metrics: total number of automations, hours saved per month, cost savings, error reduction, bot utilization rate, development pipeline velocity, and ROI per automation. Maturity model: track organizational maturity across dimensions (governance, skills, technology, scale) and plan progression roadmap.