We built the thing we couldn't find.
Twenty years of building B2B products across brand, marketing, and GTM — and the same problem, every time. The brand guidelines existed. Nobody followed them. Not because they didn't care, but because the system wasn't built for how teams actually work.
The brand problem isn't a design problem. It's a systems problem.
Every company I worked with had brand guidelines. Most had good ones. Colour systems, typography specs, voice and tone principles — well-documented. But they lived in a slide deck, or a Notion page, or a PDF nobody had opened in eight months.
New hires guessed. Agencies worked from old files. AI tools had no context at all. And every time brand inconsistency showed up — wrong logo in a sales deck, off-brand social copy, a campaign that felt disconnected from the product — the response was to update the guidelines doc. Which nobody would read.
The problem was never the guidelines. It was the infrastructure. Brand data needs to be structured, governed, and machine-readable — not a document. Dorsle is what I would have built at every company I worked for, if I'd had time to build it.
Brand drift is a systems problem.
Inconsistency isn't caused by people not caring. It's caused by brand data being unstructured, inaccessible, and impossible to govern at scale. Fix the system, fix the drift.
AI tools should know your brand.
AI is generating more branded content than ever. Most of it is generated without any brand context. That's not a content problem — it's an infrastructure problem. Brand context needs to be machine-readable.
Governance doesn't mean gatekeeping.
The goal isn't to control who touches your brand. It's to make sure everyone who does is working from the right information. Structure enables access — it doesn't restrict it.
Early access is open.
Brand managers at growth-stage B2B companies get priority.