Selected product and brand work. AI workflow engagements are available under NDA. Ask during your discovery sprint.
Brand strategy, product design, and design system for an insurtech platform. From zero to investor-ready.
Design system and product UX that simplified complex workflows into clearer, shippable screens.
Brand and application design for an AI-native creative tool. Identity through interface.
AI tools work. But the efficiency gains only show up when the workflow around them is redesigned to match. Most companies skip that step. Buildcraft does that step. We find where adoption broke, redesign the workflow, and ship the fix. PE-backed and mid-market B2B teams only.
Founded by Carl Brunson, who led design and marketing through Verikai's ~$120M acquisition as a one-person function.
Carl has spent two decades designing and shipping systems for high-growth B2B teams. From early-stage product UX to brand and marketing for PE-backed rollups. Buildcraft is the through-line: find where efficiency gains are stuck, redesign the workflow, ship the fix.
Previously: Verikai (acquired for ~$120M), Netspend, Pearson, CEB (acquired for $2.6B by Gartner).
Nobody designed what happens when the AI gives a recommendation and a person has to decide whether to trust it. Who approves it. Who overrides it. What happens when it's wrong. Those decisions got skipped. The team works around the tools instead of through them, and the efficiency gains never materialize.
The tools are deployed. The board wants to see cost reduction. The numbers aren't there yet. You need someone who can figure out why and ship the fix. Not another strategy deck.
You need someone who can diagnose the workflow problem and build the solution. No new headcount. No six-month consulting engagement. Shipped work that moves the efficiency numbers.
We map how the team actually works before we redesign anything.
We identify where AI tools are deployed but not producing efficiency gains, and why.
We define what AI decides on its own, what it recommends for a person to approve, and what it should never touch.
We design the moment when AI output lands in front of a person and they have to decide what to do with it.
We build it, train the team, and prove the efficiency gains at 30/60/90 days.
We watch how your team actually works with AI tools today. Where they use them, where they skip them, and where the efficiency gains are leaking. You get a prioritized plan for what to fix first.
We redesign the workflow around your highest-priority AI tools. Who sees what, who approves what, what happens when something is wrong. You get a system people will actually use.
We build the screens, train the team, and switch over to the new workflow. You get shipped work, not a PDF.
We measure the efficiency gains at 30, 60, and 90 days. Fix what's not working. Scale what is. You get numbers you can put in front of a board.