Case Study

Scaling Brand Consistency with AI-Built Production Tools

Challenge / Objective

SkyGeo has a small marketing team and a steady stream of design requests: event announcements, photo treatments, carousels and decks. Every request that waited for design slowed the team down, and AI-generated material tended to drift off-brand. The objective was to make the brand easy to apply correctly, by anyone, without adding headcount.

Workstreams

  • Built an Event Post Builder: a self-service browser tool where colleagues enter the event details, add up to four headshots and download a finished, on-brand LinkedIn image.

  • Turned the website’s image rule (a slanted brand gradient on section images, plain hero images) into a Slant Tool that applies the brand’s diagonal device to any photo and exports it at full resolution.

  • Designed twelve LinkedIn carousel formats, each with notes on when to use it and why it works, and one-click PDF and PNG export.

  • Codified SkyGeo’s colours, typography, diagonal device and tagline into a Claude brand skill, so AI-generated assets start on-brand instead of being corrected afterwards.

  • Created a presentation compliance checker that grades decks slide by slide, tested it with the CEO on a live deck and refined it to his feedback.

  • Set up a coded deck system for management reports, with reusable components and visual QA on every rebuild.

Results

  • Event posts produced in minutes by non-designers, without design software.

  • Twelve reusable carousel formats and a brand definition that AI tools apply by default.

  • One audit of a conference deck surfaced 45 actionable fixes, slide by slide.

  • Standalone tools that run in a browser, so the team is not tied to a design licence or a subscription.

Bottom Line

Brand consistency scales when the rules are built into the tools people use. Using AI as a build assistant, I turned brand guidelines into working products that save time and keep output on-brand.