In this video
What you'll learn
Identify your riskiest AI marketing use cases
Quickly map current AI uses and tag each one green, amber, or red so you know where risk is concentrated.
Apply a simple governance model to protect brand and revenue
Apply a simple framework to set guardrails on data, tools, and approvals so AI work is fast and defensible.
Leave with an AI governance starter sheet
Document one high‑impact AI use case with owner, risk level, and guardrails in a one‑page template you can reuse.
Why this topic matters
In 2026, marketing leaders are expected to scale AI while also owning brand safety, data use, and regulatory risk. Many teams already use AI for copy, personalization, and media, but few have a clear map, guardrails, or evidence they can show a CEO or board. This lesson gives you that starting point
You'll learn from
Kajal Jain
AI educator and strategy advisor for higher ed and enterprise leaders
Kajal works with higher ed and enterprise leadership teams to turn AI from scattered side projects into clear strategy, governance, and operating models. She focuses on helping CMOs and senior marketing leaders design brand‑safe AI programs and 90‑day roadmaps they can defend to their CEO and board.
Go deeper with a course
AI Strategy & Governance in Marketing for CMOs & Marketing Leaders
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Kajal Jain
AI strategy educator for higher ed & enterprise leaders
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