Brand strategy for people and machines
Your brand now has to resonate with people and register with machines. We build the operational skills and AI workflows that carry your brand consistently through every touchpoint, from your product and site to social and AI answer engines.
Buyers increasingly meet your brand through an AI assistant's summary, a personalized product screen or content a tool drafted for your team. None of those pass through a brand review. If your voice, facts and visual rules live only in a PDF, each of them guesses, and the brand drifts one variant at a time.
It is your brand written as a system that people and AI tools can both follow: voice, tone and messaging rules structured so a tool can apply them, templates that stay on brand when someone new uses them, and workflows that route AI-drafted content through the right review. The brand becomes a living system, not a static logo or guideline, and it holds its shape across every team and touchpoint.
#01
how your brand shows up today, including what AI assistants say about you.
#02
names, voice and messaging that hold up in every channel.
#03
voice, tone and messaging structured so both can follow them.
#04
on-brand templates and AI-assisted content workflows in tools such as Canva and Figma Buzz.
By limiting the engine to an approved library of components, content and tone, and by putting a designer in the loop before any variant goes live. Personalization itself is not the risk. Freeform generation with no guardrails is. We cover it in Everyone sees a different product now.
Selected work
Brand work on the site includes Cobraste, Grannus Therapeutics and Rehinged.ai.
The engagement
Marketing and brand leaders whose brand now shows up in places no one on the team designs by hand: AI-drafted content, personalized product screens and the answers AI assistants give about the company.
Solutions
Pixels are commoditized. Brand-fluent, accessible systems aren't. Your team can ship the next screen. Keeping your fiftieth screen on-brand, on-pattern and on-business-logic is a different problem: design system governance, the discipline most internal teams haven't built yet. We've been designing since 2014, and we pair that experience with AI for what AI does well: parallel exploration, deep research and system-wide consistency. You get AI speed plus the discipline AI can't generate on its own.
We design and build websites on a modern content management system, written and structured so search engines and AI assistants can read, trust and cite them. Every site is built to be run after launch, by your team or by agentic web management.
Agents now build from your design system, and they bring none of your team's context. We engineer and audit systems with machine-readable metadata and explicit anti-patterns, using Figma MCP, Cursor, and Claude, so agents stay on-brand and on-system while your team ships faster.
The fastest teams decide with evidence, not opinions. We instrument products with tools like Pendo and run AI-assisted experimentation, turning real user behavior into a continuous loop of what to build, test, and sharpen next.
Further reading
Brand for people and machinesBy Lindsey J
AI personalization is scaling fast across every industry, but most teams have no design guardrails for it. A practical framework for keeping AI-personalized experiences on-brand and trustworthy.
6 min read
AI trust and transparencyBy Lindsey J
6 min read
AI product strategyBy Lindsey J
6 min read
Got questions?
It is brand strategy that also works for AI tools and answer engines: voice, messaging and visual rules written as a system people and AI can both follow, so the brand stays consistent wherever it shows up.
Yes. Naming and verbal identity systems are part of the work, alongside voice, tone and messaging guidelines.
We build on-brand templates and AI-assisted content workflows in the tools your team already uses, such as Canva and Figma Buzz.
We design the products, websites and design systems your customers use and their AI agents act on.
