AI Explained: Building Agents at Scale - Lessons from the Front Lines
Multi-agent systems are transforming how enterprises approach automation, knowledge access, and decision-making. By combining agent orchestrators and specialists, these collaborative agent networks move beyond individual agents to solve complex tasks. Scaling these systems from prototypes to production requires flexibility, observability, and modularity.
In this AI Explained fireside chat, Gary Stafford, Principal Solutions Architect at AWS, will share insights from his hands-on work with AWS Strands Agents and explore approaches enterprises can use to create agents that evolve and scale over time.
Register for this AI Explained to learn:
- Multi-agent architectures that apply the “agents as tools” pattern to build agent orchestrators and specialists
- Hybrid scaling strategies that balance local models, cloud services, and protocols such as MCP for cost, performance, and extensibility
- Composable, observable, and governed practices that help agents evolve from experiments into enterprise-scale systems
AI Explained is our AMA series featuring experts on the most pressing issues facing AI and ML teams.
Can’t attend live? You should still register! Recordings will be available to all registrants after the event.
