Programme outline
Learning objectives
By the end of the course, participants will be able to:
- Design a “Marketing Squad” Blueprint: Map out the data handoffs and roles for an Architect Multi-Agent Systems (MAS).
- Set up an agentic loop that monitors competitor moves and synthesises them into actionable sales battlecards.
- Conduct “Synthetic Interviews” with Artificial Intelligence (AI) personas to identify and solve at least three major customer objections.
- Implement Brand Guardrails: Program a “Compliance Agent” to filter AI-generated content against legal and brand voice standards.
- Use agentic workflows to generate hyper-relevant outreach for Business-to-Business (B2B) buying committees at scale.
- Define the logic for a “Media Agent” to shift budgets between channels based on Return on Ad Spend (ROAS) thresholds.
- Restructure brand content to ensure higher citation rates and “Top Recommendation” status in AI search engines.
- Construct a functional “Performance-to-Creative” loop that automatically flags failing ads and triggers creative revisions.
- Draft a grounded pilot program to launch your first autonomous agent within your specific organisation.
Day 1
- Introduction to Agentic Workflows
Building “Reasoning Loops” for autonomous marketing tasks. - Orchestrating Multi-Agent Systems (MAS)
Coordinating a squad of specialised agents to execute a complex cross-channel marketing campaign. - Agentic Market Intelligence
Real-time competitor monitoring and sentiment synthesis. - [HANDS-ON] The Marketing Squad
- Bridging the Empathy Gap
“Interviewing” a Synthetic Customer Persona to find hidden objections in your messaging. - Creative Chains & Brand Guardrails
Setting guardrails for content safety - In-class assignment (Day 1 assessment)
- Competitor analysis and leads generation concepts recap
- Written /MCQ quiz + group activity submission (competitor analysis + lead scoring use case)
Day 2
- B2C Agentic Personalisation
Optimising brand presence for “Consumer Buying Agents”. - B2B Agentic Account-Based Marketing (ABM)
Scalable personalisation for complex buying committees. - Autonomous Media Buying
Scaling growth through real-time ROAS optimisation across social channels. - AEO: Answer Engine Optimisation
Positioning your brand to be the “Top Recommendation” in AI search and LLM citations. - [HANDS-ON] Self-Optimizing Loops
Building a “Performance-to-Creative” feedback loop that fixes failing ads. - Governance, Ethics, and ROI
Calculating the financial impact of AI agents and auditing autonomous decision logs. - Final assessment & wrap-up
- Individual quiz (knowledge check)
- Group project presentation: Campaign proposal using AI tools.
- Feedback & next steps for real-world implementation.
Assessment
- Online assessment