Webcast
FREE
4 min
FULL
22 min
Embedding AI into lean
B2B marketing workflows
In this webcast, Rebecca Colwell explores how B2B marketers can use AI to improve full-funnel execution, strengthen workflow efficiency, and scale personalization with greater precision. She shares practical guidance on where AI adds the most value, how to evaluate tools, and why strong processes, clean data, and human judgment remain essential to meaningful marketing outcomes

Rebecca Colwell
Demand Generation Manager, CrowdRiff
What you will learn
How AI is evolving beyond content creation into workflow orchestration, research synthesis, and campaign planning – and which marketing activities benefit most from AI integration
How to decide what to automate, build repeatable AI-assisted workflows, and accelerate campaign launches without compromising quality or strategic judgment
How to use behavioral data, buyer signals, and account context to support more relevant personalization across the buyer journey – and how to evaluate and manage an efficient AI tool stack
How to measure AI-supported workflows, prepare for emerging trends including AI-driven buyer research and AEO, and adopt AI with the focus and discipline that produces real business value
FREE PREVIEW
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A short clip from the full webcast. Enough to get a feel for the expert's approach and decide if you want to go deeper
INFUSE CLIENTS & PARTNERS
Full 22-min webcast
The complete session including full-funnel AI integration strategy, high-value AI use cases for lean teams, automation decision frameworks, workflow productivity approaches, AI-assisted campaign planning and iteration, data-driven personalization, AI tool evaluation criteria, stack management, workflow measurement, and a forward-looking perspective on the emerging B2B trends every marketer should be tracking
Who is this for?
B2B marketers and Demand Generation practitioners on lean teams who want a practical, disciplined approach to AI adoption – one focused on where it genuinely improves workflow efficiency, campaign performance, and personalization precision rather than adding complexity to an already stretched stack

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