Schedule
By the end of Day 1, you will have designed four AI-enabled marketing systems you can confidently begin deploying in your organization:
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A brand-aligned content system
A repeatable approach to using AI for content creation while maintaining brand voice, quality, and human oversight across channels. -
An AI-informed SEO strategy
A structured framework for identifying high-value search opportunities and organizing content around strategic topic clusters tied to business goals. -
A personalized email marketing framework
A scalable model for moving beyond batch campaigns to more targeted, data-informed messaging that improves engagement and conversion. -
A governed customer experience AI model
A clear structure for where AI can support customer interactions, where human judgment is required, and how brand, legal, and quality standards are upheld. -
Clear success metrics and next steps
Defined benchmarks to measure time savings, performance impact, and ROI, with a practical roadmap for moving from pilot use cases to broader adoption.
By the end of Day 2, you will have built a practical, AI-enabled marketing strategy that connects campaign planning, budget allocation, performance forecasting, and governance across channels:
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An AI-powered campaign blueprint
A structured framework for integrated campaign planning that aligns business objectives, audience signals, channel roles, creative direction, and performance goals before launch. -
A data-driven marketing budget allocation model
A disciplined approach to allocating marketing spend based on customer intent and signal strength, enabling more effective use of budget across search, social, email, and other channels. -
A marketing performance forecasting and attribution framework
A practical model for forecasting results, explaining attribution clearly, and building leadership confidence in how marketing performance is measured and evaluated. -
A cross-channel content and brand integration strategy
A system for maintaining consistent brand voice across channels while adapting messaging and format to each platform’s role within the customer journey. -
An AI marketing technology stack blueprint
A clear view of how data collection, intelligence, activation, and measurement layers work together, along with a framework for assessing your current marketing tech stack and identifying gaps. -
A working understanding of predictive analytics and agentic AI in marketing
Strategic insight into how AI is evolving from task automation to decision support and autonomous systems, and how marketers govern, guide, and manage these capabilities responsibly. -
A roadmap for scaling AI across marketing teams
Practical guidance for moving from isolated AI experiments to integrated, governed marketing systems that scale across channels and teams.
By the end of Day 3, you will have developed a clear, executive-level AI marketing strategy and leadership roadmap tailored to your organization and your career:
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A comprehensive AI marketing strategy plan
A structured strategy that aligns AI initiatives to core business objectives, informed by an audit of your data, technology stack, and organizational readiness. -
A proposed AI marketing tech stack and workflow model
A high-level blueprint for how AI tools, data systems, and human decision-makers work together across marketing functions, with clarity on integration and ownership. -
A risk, ethics, and governance framework for AI in marketing
A practical approach to managing brand safety, data privacy, bias, intellectual property, and compliance, with clear guardrails and human-in-the-loop oversight. -
A 30-60-90 day AI implementation roadmap
A phased plan for moving from strategy to action, outlining early pilots, success metrics, change management considerations, and scaling priorities. -
An executive-ready AI strategy presentation
A leadership-facing narrative designed to communicate AI value in terms of ROI, risk mitigation, and competitive advantage, not tools or tactics. -
A leadership model for managing AI-driven teams
A framework for leading through AI adoption, addressing change management, skill development, and organizational resistance while maintaining trust and momentum. -
A personal roadmap for AI-driven career growth
Clear guidance on how marketers evolve from execution-focused roles to AI orchestrators and strategic leaders in an AI-enabled organization.