Cognigy vs Pegasystems

The build surface where Cognigy's AI agents are designed, configured and released.

Assists human agents with contextual information, next-best-action suggestions and real-time guidance during customer interactions.

Analytics over conversations across every channel, for measuring how the agents are actually performing.

Turns a company's own documents into answers its agents can give, rather than scripted replies.

The human-side workspace: an omnichannel console where staff pick up conversations the AI agents hand over.

Carries Cognigy's agents onto the phone channel with low-latency, lifelike speech.

Adds visual, app-like steps inside a voice or chat conversation, so a caller can complete a form mid-call.

Platform for building customer-service AI agents and putting them on every channel: Knowledge AI grounds them in a company's own material, Agent Copilot assists the human, Voice Gateway carries them onto the phone, and Insights reports what they did.

Simulates conversations and evaluates AI-agent performance before production deployment.

Monitors and assures production AI-agent operations for enterprises running Cognigy.AI agents.

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.

An AI-powered application design tool that analyzes existing systems and documentation to generate build-ready workflow applications that can be imported into Pega Platform.

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.