Genesys vs Pegasystems

The speech and text analytics layer of Genesys Cloud CX: it transcribes voice and digital interactions, spots topics, scores customer sentiment and agent empathy, and reports how they change over time. It is a capability inside the Genesys Cloud CX tiers rather than a product bought on its own.

Genesys Cloud Copilot gives contact-centre agents and supervisors real-time AI assistance including auto-summarisation, knowledge retrieval, next-best-action guidance and translation across 70+ languages.

Selects and analyzes customer interactions for quality assurance using AI.

Forecasts staffing needs up to two years ahead using 25+ machine-learning models and an AI-powered Activity Planner for schedule optimization.

Watches website visitor behaviour inside Genesys Cloud CX, scores each visitor's likelihood to buy, churn or abandon a cart, and triggers a chat, offer or message when the model says it is worth engaging. Included in the CX 2 tier and above; an add-on on CX 1.

Genesys Cloud AI Studio is a centralized, low-code hub for building, configuring, managing and governing AI-powered experiences such as virtual agents and copilots.

Contact-centre platform where AI usage is metered separately from seats: always-on virtual agents, copilots in the agent workspace, and an AI Studio for building and governing agents — with AI Experience tokens granted per organisation and per agent.

Pega's real-time decisioning engine for marketing and customer experience teams: it picks the next best action for each customer across web, mobile, email, in-store and phone, and uses GenAI to adjust content and messaging as it runs. One of the products in the Pega Infinity portfolio.

A generative-AI tool for marketing and CX teams to design customer journeys and preview AI-driven personalization strategies, whose output can be imported into Pega Customer Decision Hub.

Automates customer-service journeys using AI-driven workflow automation and robotic process automation.

An always-on generative-AI mentor embedded in Pega workflows that analyzes in-progress work and gives step-by-step guidance to help users complete cases correctly.

An AI knowledge assistant that connects to existing enterprise content stores and answers questions from customers and employees across customer-facing and employee-facing applications.

Applies real-time predictive AI and event processing to running workflows to predict and prevent SLA breaches, address service delays proactively, and route work more effectively.

An orchestration layer that registers AI agents, workflows and data from Pega and third-party systems into a unified directory and routes user requests to the right agent or workflow, with support for MCP and agent-to-agent communication.

Pega's platform for orchestrating agents, people and systems on the same work: Blueprint generates the workflow design, Pega GenAI runs inside it, and the decisioning engine the company has sold for four decades is what the agents act on.