Delphi builds premium client-facing assets in minutes with Mutiny
Delphi's go-to-market team needed to deliver personalized, premium client materials but creating them was slow, manual, and repetitive — custom landing pages required hours in Figma and Framer, generic documents undersold the premium product, and a whole tier of client assets never got made due to the execution bottleneck.
AI tools like Gamma and Claude Cowork evaluated before Mutiny could reach only roughly 75 percent of the desired quality, and getting the rest required so many iterations and manual corrections that the time savings evaporated.
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What used to take two to three hours in Figma now takes roughly three minutes in Mutiny, saving the team up to 20 hours a week and unlocking a new category of client assets the team could not previously justify creating.
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Frequently asked questions
What did this team achieve with this AI workflow?
What used to take two to three hours in Figma now takes roughly three minutes in Mutiny, saving the team up to 20 hours a week and unlocking a new category of client assets the team could not previously justify creating.
What tools did this team use?
Mutiny, Notion, Figma, Framer, Gamma, Claude Cowork.
What results were reported?
Hours saved per week on deal collateral: 20+; Time to create custom client landing page: 5 minutes; Design or dev resources required: $0; asset creation time reduction vs. Figma: two to three hours in Figma now takes roughly three minutes (source-reported, not independently verified).
What failed first in this deployment?
AI tools like Gamma and Claude Cowork evaluated before Mutiny could reach only roughly 75 percent of the desired quality, and getting the rest required so many iterations and manual corrections that the time savings e…
How is this sales ops AI workflow structured?
Brand identity extraction → Content pull from Notion → Branded asset generation → Client-ready asset delivery.
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