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DTSTART:20251102T020000
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TZNAME:Eastern Standard Time
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DTSTART:20250301T020000
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BEGIN:VEVENT
DESCRIPTION:This is a multi-session series. The second session is titled Bu
 ilding Your AI Playbook: From Experimentation to Repeatable Marketing Work
 flows and focuses on turning AI experimentation into consistent\, document
 ed marketing workflows. Generative AI has become impossible to ignore in m
 arketing\, but most of the conversation around it is designed for enterpri
 se teams with dedicated budgets\, data infrastructure\, and innovation dep
 artments. For smaller marketing teams (agencies with under 20 people\, in-
 house teams of one to five\, and independent practitioners) the challenge 
 isn't awareness. It's knowing where to start\, what to prioritize\, and ho
 w to avoid the trap of ad-hoc tool adoption that creates more noise than v
 alue.&nbsp\;This session addresses that gap directly. Rather than showcasi
 ng a parade of AI tools\, it teaches marketers a strategic framework for e
 valuating where generative AI can create the most leverage in their specif
 ic workflows. Smaller teams can't afford to experiment randomly. Every hou
 r spent on the wrong tool or use case is an hour taken from client work. T
 his training gives them a structured\, repeatable process for making smart
  AI adoption decisions\, so they invest their limited time where it compou
 nds.&nbsp\;
DTEND:20260512T163000Z
DTSTAMP:20260426T134303Z
DTSTART:20260512T140000Z
LOCATION:
SEQUENCE:0
SUMMARY:Strategic AI Adoption for Small Marketing Teams - A Workflow-First 
 Approach Series
UID:RFCALITEM639127933834801023
X-ALT-DESC;FMTTYPE=text/html:<p data-pm-slice="1 1 []">This is a multi-sess
 ion series. The second session is titled Building Your AI Playbook: From E
 xperimentation to Repeatable Marketing Workflows and focuses on turning AI
  experimentation into consistent\, documented marketing workflows. Generat
 ive AI has become impossible to ignore in marketing\, but most of the conv
 ersation around it is designed for enterprise teams with dedicated budgets
 \, data infrastructure\, and innovation departments. For smaller marketing
  teams (agencies with under 20 people\, in-house teams of one to five\, an
 d independent practitioners) the challenge isn't awareness. It's knowing w
 here to start\, what to prioritize\, and how to avoid the trap of ad-hoc t
 ool adoption that creates more noise than value.&nbsp\;</p><p>This session
  addresses that gap directly. Rather than showcasing a parade of AI tools\
 , it teaches marketers a strategic framework for evaluating where generati
 ve AI can create the most leverage in their specific workflows. Smaller te
 ams can't afford to experiment randomly. Every hour spent on the wrong too
 l or use case is an hour taken from client work. This training gives them 
 a structured\, repeatable process for making smart AI adoption decisions\,
  so they invest their limited time where it compounds.&nbsp\;</p>
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