Pegasystems vs Zapier

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.

Zapier Canvas is an AI-powered diagramming tool for mapping business processes and turning the diagram into working automation. Zapier says it uses AI to generate workflows, suggest next steps, and surface insights that help optimise automations and prevent breakages.

Zapier Chatbots is a no-code builder for custom-branded AI chatbots that can be embedded in a website to handle customer interactions. Zapier positions it as a way to scale support and generate leads, with the chatbot able to trigger Zapier workflows off the conversation.

An assistant that works across every Zapier product: asked in plain language to add a field to a table or a step to a Zap, it walks the user through the change or makes it for them.

AI agents that act across the applications Zapier already connects, built and debugged from a prompt with Zapier Copilot.

AI Guardrails by Zapier adds inline AI safety and compliance checks to Zapier workflows. Added as a step to any Zap, Agent or Zapier MCP workflow, it scans content for personally identifiable information, toxic language, prompt injection attempts and negative sentiment, then routes, blocks or escalates based on what it finds.

AI by Zapier is Zapier's built-in tool for adding AI steps to a workflow, powered by the user's choice of model from OpenAI, Anthropic and Google. Users write text prompts to perform tasks such as extracting lead data from unstructured text or answering routing questions inside a Zap.

Zapier SDK gives coding agents and developers authenticated, governed programmatic access to Zapier's app catalogue from code, on behalf of their users. Zapier handles OAuth flows, token management and retries; the SDK ships with a CLI for exploring apps and running actions from the terminal.

The workflow layer Zapier's AI products run on: multi-step Zaps that connect over 9,000 apps and can call AI steps, agents and MCP tools inside a run, built without a developer.