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DTSTART:20251102T020000
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BEGIN:VEVENT
DESCRIPTION:This session is Part 2 of the Strategic AI Adoption for Small M
 arketing Teams - A Workflow-First Approach Series. If you haven’t yet regi
 stered for Part 1\, we strongly encourage you to register\, as it introduc
 es the foundational concepts and frameworks that this session builds upon.
  Together\, Parts 1 and 2 provide a practical\, end‑to‑end approach to mov
 ing from AI exploration to repeatable\, scalable marketing workflows.This 
 session is a continuation of Strategic AI Adoption for Small Marketing Tea
 ms\, building on foundational concepts to help teams move from initial exp
 erimentation to more structured use of AI.Most marketers who have started 
 using generative AI hit the same plateau: they get value from occasional u
 se\, but it never becomes a reliable part of how they work. Without a syst
 em\, AI usage stays random\, the quality of outputs is inconsistent\, and 
 the time savings never fully materialize. For smaller teams especially\, t
 his means the promise of AI as a productivity multiplier goes unrealized.T
 his session moves attendees past that plateau. It focuses on the infrastru
 cture layer of AI adoption\, building prompt libraries\, creating repeatab
 le templates\, establishing quality standards\, and developing a documente
 d playbook that makes AI a consistent part of the team's workflow rather t
 han an improvised experiment. The goal isn't just to use AI more\, but to 
 use it in a way that compounds: where every project makes the next one fas
 ter and better. This session is designed as a companion to "Strategic AI A
 doption for Small Marketing Teams\," which helps marketers identify where 
 AI fits in their workflows. This session picks up from that foundation and
  focuses on making AI adoption stick.
DTEND:20260602T193000Z
DTSTAMP:20260426T121033Z
DTSTART:20260602T170000Z
LOCATION:
SEQUENCE:0
SUMMARY:Building Your AI Playbook: From Experimentation to Repeatable Marke
 ting Workflows
UID:RFCALITEM639127878339188026
X-ALT-DESC;FMTTYPE=text/html:<p data-pm-slice="1 1 []">This session is Part
  2 of the <a target="_blank" rel="noreferrer noopener" href="https://thecm
 a.ca/events/detail/2026/05/12/default-calendar/Strategic-AI-Adoption-for-S
 mall-Marketing-Teams_A-Workflow-First-Approach-Series--Part-1">Strategic A
 I Adoption for Small Marketing Teams - A Workflow-First Approach Series</a
 >. If you haven’t yet registered for Part 1\, we strongly encourage you to
  register\, as it introduces the foundational concepts and frameworks that
  this session builds upon. Together\, Parts 1 and 2 provide a practical\, 
 end‑to‑end approach to moving from AI exploration to repeatable\, scalable
  marketing workflows.</p><p data-pm-slice="1 1 []">This session is a conti
 nuation of <em>Strategic AI Adoption for Small Marketing Teams</em>\, buil
 ding on foundational concepts to help teams move from initial experimentat
 ion to more structured use of AI.</p><p data-pm-slice="1 1 []">Most market
 ers who have started using generative AI hit the same plateau: they get va
 lue from occasional use\, but it never becomes a reliable part of how they
  work. Without a system\, AI usage stays random\, the quality of outputs i
 s inconsistent\, and the time savings never fully materialize. For smaller
  teams especially\, this means the promise of AI as a productivity multipl
 ier goes unrealized.</p><p>This session moves attendees past that plateau.
  It focuses on the infrastructure layer of AI adoption\, building prompt l
 ibraries\, creating repeatable templates\, establishing quality standards\
 , and developing a documented playbook that makes AI a consistent part of 
 the team's workflow rather than an improvised experiment. The goal isn't j
 ust to use AI more\, but to use it in a way that compounds: where every pr
 oject makes the next one faster and better. This session is designed as a 
 companion to "Strategic AI Adoption for Small Marketing Teams\," which hel
 ps marketers identify where AI fits in their workflows. This session picks
  up from that foundation and focuses on making AI adoption stick.</p>
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