Here are the key areas where Pega Platform could be improved: 1. User Interface (UI) & User Experience (UX) Customization Limitations: The UI layer is tightly coupled with the platform, limiting flexibility for custom front-end development. Constellation Architecture: While it improves consistency, it restricts advanced UI customizations compared to older section-based designs. Learning Curve: Non-technical users find the UI unintuitive despite the low-code promise. 2. Integration & Extensibility Limited Out-of-the-Box Integrations: Users report challenges integrating with non-relational databases and legacy systems. Robotics Integration: Pega RPA (formerly OpenSpan) is not seamlessly integrated with BPM, creating silos in automation. 3. AI & Decisioning AI Capabilities Need Maturity: Users expect more advanced, native AI features without relying on external tools. CDH & Decision Hub: While powerful, these components require deep expertise to configure effectively. 4. Cost & Licensing High Licensing Costs: Pega is often seen as expensive, especially for small and mid-sized enterprises. Lack of Flexible Pricing Models: Calls for subscription-based or usage-based pricing to improve accessibility. 5. Performance & Scalability Scalability Concerns: Some users report performance degradation with large user bases or complex workflows. Upgrade Complexity: Platform upgrades can be time-consuming and disruptive if not planned well. 6. Documentation & Community Support Insufficient Learning Resources: Especially for advanced features, documentation is limited and community support is not as strong as competitors. Talent Availability: Finding skilled Pega professionals remains a challenge in many regions. 7. Low-Code/No-Code Experience Not Fully No-Code: Despite branding, some tasks still require technical intervention, and the drag-and-drop interface can be restrictive 2. Conflict Management: Simultaneous development by multiple users can lead to rule conflicts.
