From Systems of Record to Agentic Systems of Action
A MongoDB guide to building agentic AI at enterprise scale
HA+3Created by Sebastian Rojas Arbulu, Taylor Hedgecock, Humza Akhtar and 3 more
Explore how to build agentic AI systems that work seamlessly with existing enterprise data and workflows. You'll see how to connect business context, decision traces, and agent memory to create actionable, auditable solutions. Real-world examples from multiple industries help you apply these concepts in your own environment.
Packt | Sep 2026 | 332 min
What You Will Learn
You'll start by understanding the shift from traditional systems of record to agentic Systems of Action. Next, you'll build an Intelligence Context Layer and explore interaction patterns that support both agents and humans. Finally, you'll test these patterns through industry-specific examples and learn how to adapt them for enterprise-scale deployment.
Key Features
- Design an Intelligence Context Layer that connects business context and decision traces
- Keep systems of record authoritative while enabling agents and humans to act effectively
- Apply proven Systems of Action patterns to real-world scenarios across industries
Target Audience
This course is ideal for enterprise architects, AI engineers, product owners, and technology leaders aiming to bring agentic AI into production. If you have a background in enterprise architecture, data platforms, or AI concepts, you'll gain practical strategies for integrating agentic systems into your organization-no prior MongoDB experience required.
