Agentic AI Deployment and Scaling

This unit guides learners through the practical deployment, validation, and scaling of agentic AI within marketing organizations. Students will assess readiness, design agent workflows using a Sense‑Reason‑Act architecture, execute a 30‑day deployment plan, and analyze economics and barriers to scaling.

Learning Objectives

• Analyze organizational readiness and stakeholder capacity using maturity metrics and checklists to identify gaps and prerequisites for agent implementation
• Apply the Sense-Reason-Act architecture to design at least one agent workflow and map integration points with existing marketing processes within a 30-day implementation plan
• Demonstrate the Agentforce deployment process by outlining configuration, training protocols, testing and QA milestones, and measurable success criteria
• Evaluate the economic impact and scalability of agent implementations by calculating projected ROI, identifying cost drivers, and proposing mitigation strategies for common organizational obstacles