BRAND & POSITIONING
WEBSITE & CONVERSION
MARKETING & CONTENT
MOTION & STORYTELLING

AVAILABLE FOR FREELANCE
FULL-TIME / PART-TIME

Email: CONTACT@AVAARTJOURNEY.COM

OnMed Brand System Case Study | Ava Liu
OnMed · Founding AI Graphic Designer · Case Study 10

Integrating generative AI into brand production without giving up creative control

A brand guideline and presentation system that integrates generative AI into creative production while keeping human art direction, reusable standards, and quality benchmarks as the control layer.

Creative DirectionDesign SystemsGenerative AI
3Generative Tool Families
Brand-SafeAI Guardrails
ReusableTemplates + Assets
01 / Problem & Context

What had to become true

The challenge

A brand guideline and presentation system that integrates generative AI into creative production while keeping human art direction, reusable standards, and quality benchmarks as the control layer.

My role

I owned the problem framing, system/product decisions, implementation direction, validation, and iteration represented in this case study. The emphasis is on the decisions that changed the system—not a feature inventory.

02 / Decisions & Tradeoffs

Architecture follows the constraint

Key decisions

  • Treat generative AI as part of a governed brand workflow, not a standalone image generator.
  • Define brand-safe prompting practices and explicit use cases.
  • Evaluate AI-generated work against the same quality standards as human-created work.
  • Create reusable templates and asset libraries to reduce one-off decisions.

Working loop

01PROBLEM
02INVESTIGATE
03ARCHITECT
04BUILD
05VALIDATE
06ITERATE

The implementation was treated as a measured loop: diagnose the actual constraint, make the smallest architectural change that resolves it, then verify behavior and quality before moving forward.

03 / System Design & Build

What I built

  • Brand guidelines and presentation templates provide the shared visual system.
  • Midjourney, Adobe Firefly, and Runway support defined generative workflows.
  • Prompting practices, visual benchmarks, and review criteria act as guardrails.
  • Reusable assets and templates enable scalable team production.
04 / Validation & Outcomes

Evidence over claims

Validation

  • Three generative tool families integrated into the creative workflow.
  • Brand-safe guardrails preserve consistency across AI and human-created assets.
  • Reusable templates and asset libraries support team self-service.

What changed

AI can increase creative throughput without diluting a brand when the system preserves clear standards, review criteria, and human creative authority.

05 / Skills & Positioning

What this project demonstrates

Creative Direction · Design Systems · Generative AI

This case sits inside a broader portfolio spanning AI systems and agents, full-stack products and revenue infrastructure, design engineering, and creative AI leadership.

Ava Liu · Forward Deployed Engineer · Design + Full-Stack + AI Systems