Box vs Pegasystems

No-code agentic workflow-automation platform that orchestrates intelligent content workflows -- contract approvals, claims processing, document routing -- combining AI agents, data extraction and document processing end to end.

Agentic data extraction service that pulls structured fields from documents, spreadsheets, images and video in Box using OCR and reasoning models, and writes the results back as Box metadata or returns them via API.

No-code environment where Box administrators create, configure, test and deploy custom AI agents scoped to selected documents and models, and control which users can access each agent.

Model Context Protocol server that lets external AI agents search, read and extract metadata from content in Box while enforcing the calling user's existing Box permissions, available as a Box-hosted remote server and as a self-hosted Python project.

Generative AI layer across Box's content platform that answers questions over stored documents, summarizes files and folders, and extracts structured data from contracts and forms; agentic, multi-step work is Box AI Agents, recorded separately.

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.