What does it actually mean for an AI agent to be production-ready? And more importantly, how can organizations ensure and prove that their agents are reliable, predictable, and safe to deploy?
Join us for a deep dive into the practices, tooling, and governance needed to build enterprise-ready Agentforce AI agents. We’ll explore the critical factors organizations must consider before deployment, including reliability, observability, testing, NLP output quality, safety guardrails, and maintainability across the software lifecycle.
You’ll also learn how Salesforce’s native Agentforce tooling supports agent development and where organizations need broader quality, testing, and reliability strategies to scale successfully.
What We’ll Cover:
- Defining Production-Ready AI Agents: Learn the core requirements for enterprise-ready Agentforce agents, including predictability, reliability, safety, observability, and maintainability.
- Observability and AI Reliability: Discover how organizations can monitor agent health, trace sessions, identify issues quickly, and maintain reliable AI performance across the Agentforce lifecycle.
- Extending Quality Across the Software Lifecycle: Understand how AI agents fit into broader QA pipelines, release gates, compliance processes, and enterprise software delivery practices.
- Testing and Quality Best Practices: Explore testing approaches for Agentforce workflows, including topic and action assertions, NLP response evaluation, and end-to-end validation strategies.
Don’t miss this opportunity to learn how to build, test, and deploy Agentforce AI agents with confidence and enterprise-grade reliability.
