Let’s put our heads together.

We’ll read it and reply within two working days. If we’re not the right help, we’ll say so quickly and try to point you somewhere better.

Tell us the outlet and the deadline. Bud handles press himself, so a clear ask gets a faster answer.

We're looking for people who see the thinking that never happens.

Superadditive helps organizations redesign work to use the full intelligence of their people and their AI. That requires a rare kind of practitioner — someone who can diagnose cognitive waste in a workflow, navigate the political resistance that redesign triggers, and hold a room of C-suite leaders while doing it.

We’re not filling a specific role right now, but we’re always looking for the right person. We don’t post titles, required years, or credentials. We care whether you can see intelligence loss in the wild, navigate organizational politics, write and present at an exceptional level, and keep going when the work gets hard. No CV, no cover letter — just a short set of questions.

YOU MIGHT BE A FIT IF…

• You've been accountable for changing how an organization actually works — not just advising on it
• You can explain where AI is being over-trusted or under-trusted in a domain you know well, with specifics
• You've built your own frameworks, methodologies, or diagnostic tools — not just borrowed others'
• You can hold a room of skeptical executives without retreating into jargon, false confidence, or consultant-speak
• You've noticed that most AI-and-work discourse is shallow, and it frustrates you
• You communicate well — compressed, clear, with a point of view
• You understand why smart interventions die politically inside organizations
• You relish debating ideas and approaches

THIS PROBABLY ISN'T THE RIGHT FIT IF…

• Your primary frame for AI at work is efficiency or automation
• You think the problem with AI adoption is “change management”
• You haven't done organizational change work — only studied or advised on it from a distance
• You'd describe yourself as a technologist first
• You prefer structured, predictable engagements over ambiguous, political ones
• You're satisfied with what you already know
• You frustrate easily or give up when the client environment gets messy