Teams & organizations

Your team is good. AI should make it more like itself — not less.

Design and product orgs are being told to "figure out AI" with no map and a lot of pressure. I bring 20+ years of UX leadership to that problem — strategy, training, and the calm voice in the room while everything changes.

Engagement 01 · 2–6 weeks

AI Strategy Sprints

From "leadership says we need an AI plan" to an actual plan your team believes in.

A focused sprint to figure out where AI genuinely helps your org — and where it doesn't. We map your team's real workflows, find the leverage points, pressure-test the risks, and leave you with a strategy grounded in how your people actually work. Not a slide deck about transformation.

  • Workflow mapping · where the hours actually go
  • Leverage & risk assessment · where AI helps, where it hurts
  • A sequenced roadmap · what to do first, and why
  • Leadership alignment · everyone reading from the same page

Engagement 02 · half-day to multi-week

Team Training & Workshops

Hands-on, on your real work — not generic prompting tips your team forgets by Friday.

Training built around your team's actual projects and tools. We work on live problems, build shared practices the team can keep, and deal honestly with the anxiety in the room — because "will this replace me?" is a real question and it deserves a real answer.

  • Live-work sessions · your projects, not canned exercises
  • Shared team practices · conventions that outlast the workshop
  • The honest conversation · what AI means for the craft, said plainly

Engagement 03 · embedded retainer

Fractional AI Design Lead

Senior AI design leadership, embedded in your team — without the executive hire.

For orgs that need someone senior owning the AI question over time, not just visiting it. I embed with your team on a recurring basis — in the critiques, in the planning, in the room where the decisions happen — and build the internal capability so eventually you don't need me.

  • Recurring embedded presence · part of the team, not a vendor
  • Decision support · tools, process, hiring, quality bars
  • Capability building · working myself out of the job

Engagement 04 · 1–4 weeks

Audits & Assessments

An honest read on where your AI adoption actually stands — before you invest further.

Maybe you've already rolled tools out and adoption is patchy. Maybe quality slipped and nobody wants to say it. An audit looks at what's really happening — usage, output quality, team sentiment, workflow fit — and gives you findings you can act on, delivered without spin.

  • Usage & adoption review · what's actually being used, by whom
  • Output quality assessment · the slop check, applied with rigor
  • Findings & recommendations · prioritized, plainspoken, actionable

Is this your team?

You're not trying to replace your people. You're trying to protect what makes them good while the ground shifts.

That's the org I work with. If leadership's goal is headcount reduction dressed up as innovation, we're not a fit — and I'll say so in the first call.

Start the conversation.

Tell me about your team, where the pressure's coming from, and what you're trying to protect. I'll tell you which engagement fits — or what to try first on your own.

Let's talk