Featured Speakers:
John Conway, Director, Technical Architect, Salesforce
Fakhruddin Faizi, Distinguished, Technical Architect, Salesforce
AI agents are rapidly evolving beyond simple conversational assistants. Modern autonomous systems are built frommultiple specialized agentsthat proactively support customers, employees, and processes. Agents can collaborate on a task or work in sequence, handing off to specialized agents as needed.
While it’s possible to build these systems from scratch, a fully DIY approach often leads tohigh complexity, long timelines, and unpredictable cost. What seems simple—like orchestration or LLM prompting—is just the surface; custom AI solutions hide layers of complexity and ongoing maintenance.
Salesforce’s Agentforce and MuleSoft offer an easier path. Together, they provide a secure, composable framework to design, deploy, and scale multi-agent systems quickly. Agentforce handles agent logic, prompting, and grounding; MuleSoft connects to APIs, data, and processes; and together, they accelerate time-to-value for AI-driven agentic applications.
This unified approach significantly reduces time-to-value. For organizations with prior investments in custom agents, Agentforce and MuleSoft offer a pathway to enhance these solutions with enterprise-grade capabilities, allowing for focused innovation on unique agent behaviors while benefiting from a robust and scalable foundation.
The webinar will cover:
- The Evolution of AI: From single-task agents to autonomous multi-agent systems
- Key Building Blocks: Understanding Agentforce APIs, MuleSoft AI Chain, and the MuleSoft Agentforce Connector
- Architecture Patterns: Real-world scenarios and design patterns for multi-agent applications
- Code-to-Cloud Demo: Step-by-step walkthrough of an end-to-end multi-agent system
- How to Begin: Best practices and tools to build and deploy your multi-agent app