Custom AI for Designers

Mid-sized branding agency. Smart designers. The bottleneck wasn't talent. It was the gap between client intake and the first set of concept directions to review. That gap typically ate four to six hours per project, repeated across every new engagement.

First step on every AI Ops engagement: shadow the work, don't just listen to the brief. We mapped what designers were actually doing in those four to six hours: reading the intake, pulling up the client brand context (logo files, voice docs, prior work), opening Figma, sketching three rough directions, then handing off to senior review.

About 70% of that time was retrieval and context-loading. That is work AI is excellent at. The other 30% was creative judgment. That is work AI should not touch.

The agency had a client brand library across Figma, Notion, and shared drives. We built a retrieval layer that pulls relevant context per brief (voice rules, prior concept directions, client constraints) and feeds it to the AI assistant as grounded context. RAG, but scoped to one agency's actual asset library.

The hard rule: the AI returns directions to consider, not finished concepts. Three written directions per intake. Each one carries strategic reasoning, mood signals, and a one-sentence pitch the designer can react to. Designer reads, picks one, sketches it. The AI shaved off the prep, not the craft.

Average time from brief to first reviewable direction dropped from ~4 hours to ~90 seconds. A half-day workflow compressed to a coffee break. The designers got their afternoons back. Senior review velocity doubled because directions were better-framed before the meeting.

Quality held. The senior team confirmed concept-direction quality at parity with the prior workflow. The AI didn't replace anything. It moved every designer further along the workflow before they started.