Amazon vs Pegasystems

Amazon's generative-AI Alexa: a conversational assistant across Echo devices and the Alexa app that handles multi-step requests, remembers context and acts on behalf of the user.

Agentic AI for healthcare providers and health-tech developers: patient verification, appointment management, ambient clinical documentation, patient insights and medical coding, delivered inside Amazon Connect Customer for patient engagement and via an SDK at the point of care.

An AWS platform for building and running AI agents that automate browser-based UI workflows, billed per agent-hour of active work.

AWS's subscription AI work assistant combining chat-based research, business-intelligence dashboards and workflow automation, positioned as the successor to Amazon Q Business.

An AWS coding assistant that generates, reviews, tests and autonomously modifies code inside IDEs and the CLI.

Agentic AI development platform (IDE, CLI, web, mobile) that turns prompts into executable specs, validates code with property-based testing and runs parallel agents across large codebases.

Agentic-AI enterprise IT transformation workbench that accelerates cloud migration, application modernization (mainframe, Windows, custom code) and continuous tech-debt reduction.

Production AI-agent operational platform (framework- and model-agnostic) providing security controls, tool integration, debugging and evaluation for deployed agents.

Cloud contact-centre service, formerly simply 'Amazon Connect', now positioned as an agentic-AI customer-experience solution: AI agents and intelligent routing across voice, chat, email, SMS, web and WhatsApp, designed on a no-code canvas, with real-time performance tracking for agents and supervisors.

AWS's unified platform for building, training and deploying machine learning and generative AI models.

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.