Agentic AI Deployment & Scaling

This unit guides learners through operationalizing agent-powered systems for marketing: understanding core sense-reason-act architectures, preparing organizations for implementation, executing a 30-day deployment, and proving economic value while addressing scaling barriers. Students will move from architectural analysis to hands-on planning, testing, and creating a business case for scaling agentic AI in marketing contexts.

Learning Objectives

• Analyze sense-reason-act architectures and map at least two agent roles to three specific marketing workflows, documenting required inputs, outputs, and decision checkpoints
• Evaluate organizational readiness by conducting a gap analysis and producing a prioritized action plan that addresses governance, data quality, personnel roles, and security requirements for deployment
• Apply the 30-day implementation timeline and the Agentforce deployment process to develop a complete deployment plan—including training and configuration protocols and a testing/QA regimen—for a simulated marketing use case
• Demonstrate the economic value and scaling strategy by building a cost–benefit model, defining measurable KPIs to show return on investment, and proposing mitigation strategies for at least three organizational obstacles to scaling agentic AI