Roman Bordo

AI Workflow Architecture

Context systems and decision memory for AI-assisted work.

Now

I’m currently working on AI workflow architecture: how teams use AI when context, decisions, evidence, and review need to survive beyond a single chat.

Before

20 years in brand, motion, creative direction, and visual systems. Selected Work ↗

Work

LifeOS v0.2

Personal AI operating system for real life and work context.

A working system for keeping current state, durable memory, raw evidence, decisions, and domain context separate enough for AI to use without turning everything into chat history.

Meeting → Decision Memory

Turning transcripts into decisions, risks, open questions, and durable project memory.

AI meeting summaries look useful, but decisions still disappear. This case explores how conversations become structured decision memory.

Support Knowledge Architecture

Structuring canonical answers, edge cases, escalation paths, and feedback loops before automation.

The support bot is not the product. The knowledge architecture behind it is.

AI-ready Creative Brand Workflow

Turning brand context, examples, constraints, and review logic into AI-usable working memory.

Brand guidelines were written for humans, not AI workflows. This case explores how brand context becomes usable inside AI-assisted work.

Available for

  • AI workflow audits
  • Context system architecture
  • Decision memory setup
  • AI-ready creative brand workflows

Journal

Brand Assets Are Not Brand Memory Most brands have guidelines, Figma libraries, templates, and archives. AI-assisted creative workflows need something deeper: brand memory. Brand Guidelines Were Built for People. AI Needs Brand Memory. AI design tools like Claude Design, DESIGN.md, and DesignMD point to a bigger shift: brand guidelines now need to become AI-readable brand memory.