Nintex K2
Unleash enterprise agility with high-performance low-code process automation.
The low-code platform for AI-powered decisioning and workflow automation at enterprise scale.
Pega (Pegasystems) is a market leader in enterprise-grade low-code development and AI-driven automation. As of 2026, the Pega Infinity platform has integrated deep GenAI capabilities through 'Pega GenAI', which automates the creation of enterprise-grade workflows and data models. The architecture is centered around the 'Situation Layer Cake,' allowing large organizations to manage complex, multi-layered business rules across different regions, products, and languages without redundant code. Unlike standard SaaS tools, Pega emphasizes 'Build for Change,' utilizing a model-driven architecture that separates business logic from underlying technical code. Its 2026 market position is defined by its ability to orchestrate legacy systems with modern AI, providing a bridge between high-frequency transactional data and real-time customer decisioning. The platform's 'Customer Decision Hub' uses predictive analytics to deliver 'Next-Best-Action' recommendations with sub-millisecond latency. Pega is primarily deployed by Global 2000 companies in heavily regulated sectors like banking, healthcare, and government, where auditability, security, and extreme scalability are non-negotiable requirements for digital transformation.
A generative AI-powered tool that converts natural language business descriptions into fully functional application skeletons, including data models and workflow stages.
Unleash enterprise agility with high-performance low-code process automation.
Unlock enterprise-wide efficiency with AI-driven process intelligence and low-code automation.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A patented architecture that organizes business rules into logical layers, allowing for specialized logic (e.g., by region) while inheriting base logic.
A centralized brain using machine learning and business rules to determine the best interaction for a customer across any channel.
A view-based design system that separates UI presentation from business logic using a specialized API-first approach.
The integration of predictive models directly into workflows to anticipate process bottlenecks or case outcomes.
An automated system that scores application quality based on adherence to Pega's best practices for performance and maintenance.
Real-time natural language processing of live calls to provide agents with automated case creation and real-time guidance.
Manual processing leads to long turnaround times and high error rates.
Registry Updated:2/7/2026
Claim is auto-approved or routed to an adjuster.
High churn rates among long-term customers with expiring contracts.
Regulatory compliance requires complex documentation and multi-stage verification.