AI‑driven enterprise architecture

Designing for the enterprise means balancing scale, security, and change. Explore the AI-driven approach to enterprise architecture in Pega Platform™, including Center-out® design, multi-tenancy, high availability, and predictable AI governance. Use these patterns to create applications that stay resilient as business priorities and delivery methods evolve.

Advanced

Artificial Intelligence

Generative AI

Process AI

Enterprise Application Development

Security

Workflow Automation

DevOps

English

After completing this module, you should be able to:

Explain how the Lead System Architect role changes in an AI-driven software delivery life cycle.

Plan predictable, governed AI usage by applying data-protection, observability, and compliance considerations.

Design a multi-tenant application structure that supports security and governance boundaries. 

Design for high availability by identifying architectural choices that reduce single points of failure. 

Plan predictable, governed AI usage by applying data-protection, observability, and compliance considerations.

Differentiate agentic integration approaches using Agent2Agent and Model Context Protocol when designing interoperable AI solutions.

Available in the following mission:

Lead System Architect Enhancements for Pega Infinity v2

Topics

The evolving role of LSA in an AI-driven SDLC

10 mins

Predictable AI in enterprise applications

15 mins

Multitenancy security architecture and implementation best practices

20 mins

Module Quiz

5 mins