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Pega GenAI is the generative‑AI component of the Pega platform, designed to infuse intelligent capabilities into enterprise workflows, decisioning, and user engagement. Rather than treating AI as an isolated feature, Pega GenAI is fully embedded within Pega’s low‑code architecture, enabling users to generate workflows, content, and automation sequences from natural language prompts while preserving structure, governance, and traceability.
With Pega GenAI, a user can request “create an application for processing loan requests,” and the system will propose stages, workflows, UI elements, and sample data—saving development effort and speeding time to market. The Connect Generative AI layer lets organizations swap AI models (OpenAI, Azure, private LLMs) without rewriting workflow logic. The generative AI boosters extend standard Pega functionality—such as auto‑reply generation, meeting summaries, test data creation, and content generation—accelerating many repetitive tasks.
Pega also delivers conversational agents: GenAI powers chat, voice, and email summarization agents that tie into enterprise knowledge bases. The agents can answer queries, summarize transcripts, and craft personalized messages, while remaining subject to business logic and oversight. Behind the scenes, predictive analytics and process mining signals guide optimization loops—allowing workflows to evolve based on results and feedback.
Governance and compliance are integral: Pega provides auditing, role‑based review, and sensitive data filters to mask or exclude PII in AI prompts. Organizations retain control over what the AI can do autonomously and what requires manual approval. Deployment flexibility means GenAI can run in Pega Cloud or on‑premises, enabling use in regulated or sensitive environments.
Pega’s generative AI features were initially introduced in mid‑2023 and have been extended in subsequent platform versions (e.g. Pega Infinity releases). The offering positions Pega as a hybrid of low‑code automation plus intelligent agent orchestration, striving to transform business applications with generative AI rather than simply layering AI onto existing systems.
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