Kaizen's Sales Team Creates Professional, On-Brand Business Cases 70% Faster with Mutiny
Kaizen's lean AE team needed professional, personalized sales assets for complex enterprise deals, but creating them required hours in Figma or waiting on a design backlog, leaving AEs either recycling generic templates or skipping personalized materials entirely.
The traditional workflow of Figma-based templates and design ticket requests was too slow for enterprise sales cycles, and flat documents like Word docs and bulleted emails could not carry messages across large buying committees.
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Kaizen's AEs now create professional, on-brand assets 70% faster with no design or dev resources, and a single personalized business case influenced over 100 stakeholders across the prospect's buying committee.
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Frequently asked questions
What did this team achieve with this AI workflow?
Kaizen's AEs now create professional, on-brand assets 70% faster with no design or dev resources, and a single personalized business case influenced over 100 stakeholders across the prospect's buying committee.
What tools did this team use?
Mutiny.
What results were reported?
Asset creation speed: 70% faster; Stakeholders influenced with single business case: 100+; Design or dev resources required: $0; Business case views from buying committee: over 100 views (source-reported, not independently verified).
What failed first in this deployment?
The traditional workflow of Figma-based templates and design ticket requests was too slow for enterprise sales cycles, and flat documents like Word docs and bulleted emails could not carry messages across large buying…
How is this sales ops AI workflow structured?
AE describes asset in plain language → Mutiny generates branded page → AE customizes and controls asset → Shareable asset circulated to stakeholders.
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