Light Actions

AI to grow
your business.

Light Actions helps companies use AI to grow: new offerings, new ventures, the next business.

Who we are.

Light Actions is a team of human-centered AI builders and practitioners with deep expertise in turning uncertainty into momentum. We've developed products, services, and businesses for companies all over the world: IDEO, Google, John Deere, Adobe, Abbott Labs, Expedia, EY, Capital One, Silicon Valley Bank, Morgan Stanley, DBS, and many more. Between us: organizational design, strategy and new ventures, software and agent builds, executive coaching and training, responsible AI governance, and creative work.

We're a shortcut for organizations that don't have time to learn AI the hard way. We help you answer the question: what can we do today we couldn't a year ago? And then doing it. From rethinking the way you work to serving your customers in ways you couldn't have imagined before.

How we work

And why "light"?

AI usually arrives as one more heavy expectation, handed to already-busy leaders. We start light: with curiosity about your customers and your team. What do they need that you haven't been able to give them, and what does today's technology make possible? Then we work with you to drive change, be it building something new, growing capabilities, or shifting the way you work.

Start moving today.

Build

Tools, agents, and software, made with your team.

Redesign how work happens

Org and process design for a team that's using AI.

Grow

Strategy, new offerings, new ventures.

Learn

Coaching, training, and governance for leaders and teams.

Ready to unlock growth?

Amy Bonsall speaking at Tugboat Institute
Speaking & Writing

Ideas that move
leaders forward.

Amy speaks on leading through uncertainty, building cultures of experimentation, and AI adoption for companies. Her talks leave audiences with concrete moves — not just new perspectives.

Keynotes & talks

Uncertainty: friend or foe

The leaders who move fastest in uncertainty aren't the ones who eliminate it — they're the ones who've learned to work with it.

Audiences leave with a concrete framework for acting before clarity arrives — and a different relationship with ambiguity.

Tugboat Institute Gathering of Teams · Nashville · ~500 executives

Heavy expectations → light actions

This talk introduces the Light Actions framework — small, safe experiments that create real momentum without requiring perfect conditions.

Audiences leave with a move they can make before the week is out.

AI is not the disruption. Our response to it is.

For executive audiences navigating AI adoption: what it takes to move from "AI is interesting" to "AI is changing what's possible in my organization."

Audiences leave with a shared language for AI adoption and a first step that isn't a task force.

Proof

How it lands in a room.

4.6/5
on value
9.5/10
"would recommend"

Ratings from Amy's session at the Tugboat Institute EJ+ gathering — a room of privately held company leaders. May 2026.

Interested in having Amy speak?

Reach out to start the conversation about availability, topics, and fit.

Purpose

Good product design starts with purpose.

AI allows us to develop new products and services at light speed. That's its power and its danger. Whether you're a new company or an established one, begin by establishing what you want to do for your customers or clients over time. I call this a purpose. The best companies have purposes that are specific but allow for growth. Google's "organize the world's information" is as relevant in 2026 as in 1998.
Write yours now. One sentence. It should stand the test of time.

Use this free tool to generate some options for your company's purpose statement.

Start with purpose — generate your company's purpose statement

Want help ensuring you have the right purpose?

AI in Action · How we help companies grow

AI is easier if you
just start building.

Your company is already using AI — just not yet in the ways that grow the business. We start by building something that empowers your team and helps you see more possibilities.

What we do

Build together.

i. Start by listening

Find the starting point

We start by listening... to your customers or employees... what's not working? What could work better?

ii. Build it together

Make something real

We identify something high leverage, whether a tool, a workflow, or a redesigned process, and build it with your team, so they build skills as we build solutions.

iii. Grow from there

Ask the bigger question

What have we seen is possible from this new vantage point? How can we serve our customers better today than we could yesterday?

What opens up

Capability compounds.

  • A team that sees what's possible — and gives itself permission to build
  • Processes reimagined. Tools you didn't know to ask for.
  • New approaches, new offerings, and even new ventures you couldn't have imagined before you started

"I feel smarter about AI working with you. I know I can't afford not to move further with it."

— VP, global retailer

Who we are

Twenty years of building with companies.

We've spent our careers creating new capabilities and starting new businesses with companies that wanted to grow: IDEO, Google, John Deere, Adobe, Abbott Labs, Expedia, EY, Capital One, Silicon Valley Bank, Morgan Stanley, DBS, and many more. AI is how we do that work now.

We build with Claude every day, for our own business and with clients. When we collaborate, we build with your team, so the capability stays in the room after we leave.

IDEO — Venture design and innovation
Capital One · DBS Bank — Innovation leadership
Mars · PepsiCo · M&S — Innovation and AI programmes
Morgan Stanley · HSBC — Change delivery
HBR — Contributing author

Ready to build?

Tell us what your team is spending its week on. We'll find the first build — and where it leads.

AI in Action

Build to grow.

How we build, what we've built, for clients, for ourselves, and for fun.

What we do

Build together.

i. Start by listening

Find the starting point

We start by listening... to your customers or employees... what's not working? What could work better?

ii. Build it together

Make something real

We identify something high leverage, whether a tool, a workflow, or a redesigned process, and build it with your team, so they build skills as we build solutions.

iii. Grow from there

Ask the bigger question

What have we seen is possible from this new vantage point? How can we serve our customers better today than we could yesterday?

With clients
50%
less time per RFP
Turned a founder-led public-sector consulting firm's proposal archive into a tagged library, and extended their RFP-response skill in Claude so drafters see the most comparable past proposals as they write. Built with the team, who now run it themselves: 50% less time from RFP to proposal.
Reads fifty state websites every night and shows sellers which public awards name a provider they can contact. In production for a Fortune 500 medical technology company since July 2026.
Scores an organisation across eight research-backed dimensions and generates a day 1, 30, 60, and 90 report. Built for a UK AI-enablement consultancy to run at its events.
+12%
top-line margin
Set the AI vision, principles, and governance for RPM, the UK's leading independent shopper agency, and embedded AI on their existing technology stack. So far: a 12% increase in top-line margin and a 17% uplift in production efficiency.
$50M+
qualified pipeline
Helped bring EY's AI platform, EY.ai, to market, turning a $1B+ investment into a proposition clients could understand and buy. The launch generated more than $50M in qualified pipeline and 500% more qualified leads.
50
people trained
Six months helping a mid-sized UK B Corp understand and adopt AI: a bespoke training programme, a roadmap to process gains with Claude Cowork, and an AI for Beginners workshop for the whole 50-person team.
2 days
a week back
Built an agentic search and content system in Claude for a small UK podcast business. It finds prospective clients, maps their needs, and drafts relevant content, saving the co-founders about two days a week.
~100
people learning AI
Training around 100 people in a large UK NHS trust on AI fundamentals, then building an agentic process to track project performance and keep tighter control of finances.
56 of 64
unsourced claims caught
For IC Terminal, an investment due-diligence product, and a pharma and bioscience VC piloting it on five companies. We built a checking layer on Claude that pulls every factual claim out of a report, traces it to the company's documents or a cited source, and turns anything untraceable into a question for the founder. On the first three reports it found 56 of 64 claims had no source, traced the cause to one step in the pipeline, and fixed it.
Every week
prospects found, scored, drafted
Just Add Joy is an independent creator partnerships agency whose founder had two days a month for new business, most of it spent on research. Georgie set the requirements and rubric with her, then co-built an agentic nurture engine in Claude Cowork: agents monitor brand, category, and industry signals, research and score prospects, and draft outreach in the founder's voice. An Airtable dashboard tracks follow-ups, and the founder approves every message before it goes out.
For our own business
A perspective reminder to start the day, built with NASA images and a daily prompt.
3 done today
3 for tomorrow
A short evening ritual that captures three things I accomplished today and three priorities for tomorrow. It synthesizes themes weekly and monthly. Public version in the works.
A self-serve coaching tool that turns a heavy expectation into three small, safe experiments you can try this week. It emails you a PDF you can keep.
For play

Ready to unlock growth?

About

I'm Amy Bonsall. I help companies grow by building with them.

I co-founded IDEO's venture design practice and spent nearly a decade building it, working alongside executives at Google, Adobe, and John Deere to start new businesses and capabilities. After that, I was VP of New Ventures at Old Navy, where I co-led the overhaul of a major part of the business.

The pattern hasn't changed since: the growth was always something we built collaboratively, with the people who'd be running it after I left. What I kept seeing, across industries, was companies with real ambition and real capability, stalled by the weight of what they thought they had to do first.

I founded Light Actions on one conviction: the companies who move best through uncertainty aren't the ones who wait for clarity — they're the ones who've learned to act without it.

So, we start by building what we can see, and soon we are seeing what we can build to create growth.

Right now AI feels heavy to so many of us. The approach I founded Light Actions on deliberately sets the heaviness aside and says "let's start light, small, and fun." Growth comes from there. Every time.

Our clients get a team, not just me: senior practitioners who are experts in their fields and bring the same human-centered approach to growth. I'm lucky to work with them.

After living in Budapest, Lausanne, London, Melbourne, Singapore, and San Francisco, I landed in St. Petersburg, Florida — where the obvious next step was to become obsessed with pickleball. I love learning about other cultures, speak French and Italian pretty well and a few other languages pretty badly, and think a lot about what it means to move and lead well when the map hasn't been drawn yet.

Amy Bonsall
IDEO — Founded and built the Venture Design practice
Old Navy — VP New Ventures
HBR — Contributing author
IMD — MBA · I by IMD author
Carnegie Mellon — MS Engineering
Speaker: SXSW · Tugboat Institute
Mindfulness Meditation Teacher
The Light Actions Brief

Small moves.
Real momentum.

Ideas, experiments, and light actions for leading through ambiguity — delivered every other Friday.

Browse all issues →
For Tugboat EJ+

Ways to get light

The resources I mentioned, plus a few extras for the curious.

Want to keep the conversation going?

Drop me a line — I'd love to hear what you're trying and how it's going.

Get in touch

What are you
working on?

Whether you're thinking about AI for productivity or growth, organizational redesign, AI coaching, training, or leadership programs, a keynote, or something else — reach out and we'll find the right starting point.

Thanks — we'll be in touch soon.

The gap between where you are and where you want to be narrows with one light action.

Ask Amy Anything

Ask Amy Anything.

Send your smallest, weirdest, "should I already know this?" questions about AI.

I feel like there's a mix of excitement and panic in the air about AI. Do you, too? It's so easy to be overwhelmed or confused.

I spend 40ish hours a week building, breaking, and learning with AI.

So whatever you're wondering, I've probably thought it, experienced it, or have the same question. Ask me, and I'll answer. Or find someone (human) who can. Because it's still nice to have a human take.

"I don't know what an agent is. Tell me like I'm five."
"Who is Claude?"
"Are people doing more with ChatGPT than using it to google stuff?"
"I read AI will make me dumb. Is that true?"
"I'm afraid it'll take over my computer if I give it any permissions. Why is it asking?"
"People are talking about building 'apps' with AI. What does that even mean?"
"What's an LLM?"

Your turn ↓

Send your question

Whatever's on your mind. Big, small, embarrassing — all welcome.
I'll answer. Not AI.

Got it. Thank you for asking — I'll be in touch if you left an email.

I'll share the most common Q&As in a future Light Actions newsletter (anonymously).

AI in Action

AI coaching that sharpens how you lead

For senior leaders who want to push their edge with AI to see what's possible... for their teams and their companies. We take you past your edge so that you can shape how AI shows up in your business.

The shape of it

Three months, built around your calendar

01

Real work, together

Bring something real you'd like solved, and we work on it together. It might be a decision you're weighing, a workflow worth automating, or a task that eats your week. We screenshare and make something together. You leave seeing more of what's possible with AI.

Eight working sessions over three months, at the frequency you choose. Once a week, every other week, twice a week. Your call. We start where you are and build from there.

02

Light connects, in between

Send your questions or stuck points any time and get a timely reply back, as a voice or text memo. Momentum keeps building, even when your calendar gets loud.

Why this shape works
where you start what opens up Extend your capacity Automate the admin Prototype what's possible Shape how AI shows up
60-90 minutes

Sixty to ninety focused minutes is enough to build something real and watch it work.

You leave each session seeing more of what AI can do in your hands.

Three months

Long enough for your range to compound, paced around a full calendar.

Each session opens new ground: a fresh thing to automate, build, or rethink.

Shape of the sessions

Your edge moves further every session

your edge Session 1 Session 8
Session 1

Depends on you. We talk through your edge and build something real today. That has looked like: setting up your toolkit, finding where AI fits your role, automating a task that eats your time, weighing tool options, making a tool work harder for you.

Sessions 2–7

Shaped by the work in front of you. Automating a workflow, building a custom tool, prototyping an idea you've been sitting on, getting fluent on a new platform. The thread holds: your edge moves further every session, and you see more of what's possible.

Session 8

We keep pushing your edge, and build your plan for shaping how AI shows up in your work long after we finish.

Curious whether this fits you?

Book a free 30-minute session and we'll talk about it.

Just need a quick hit? Book a call and we'll create support tailored to you.

Originally published in Entrepreneur Magazine  ·  December 20, 2018

Stop Obsessing Over Your Prototype and Just Let Customers See It

Stop Obsessing Over Your Prototype

I spend a lot of time working as a designer with tech companies and entrepreneurs. Here's a funny thing I've noticed. Everyone wants to prototype — to create a fast and just-real-enough version of their new product — to ensure they're building the right thing, but no one has the time.

So, they do things like build the product and sneak in cheeky prototypes on the side to inform product iteration (and, if the initial launch premise is wrong, product revolution). Almost surreptitiously. Kind of like they're having an affair with the prototype.

As a designer, I'm always looking for workarounds that signal what people need, and the "affair-with-prototype" is a classic one. It signals that designers, entrepreneurs and product managers know the value of prototyping (validating the desirability and viability of a new product), but have time and budget constraints that prevent them from taking that step.

To me, the affair-with-prototype workaround signals an opportunity to extract benefit from a quick and scrappy prototype and get traction signals (indications that there's both a user need and a business case) behind a new idea — even faster than you would from an MVP. In fact, building an MVP that hasn't been preceded by a prototype is the slowest and most expensive way to test your hypothesis — because if you've gotten the premise sufficiently wrong in MVP, rework will be expensive.

As part of our venture design practice at IDEO, we've been building behavioral prototypes, which allow us to get market signals in as little as a day.

Often, when people envision prototypes, they're attitudinal ones. Attitudinal prototypes are things like paper prototypes or clickable prototypes. Show them to someone, prefaced by the statement "imagine if…" to get their reaction and attitude (they don't actually function).

A behavioral prototype is a functional, if rudimentary, business that works for the customer — a simple physical or digital experience with which people can actually accomplish something. Another name for it is a works-like, unscalable product, or WUP. While customers know they're not products available in market, they can still use them to get something done. By observing people interacting with the prototypes, we can see how they would behave if we created a scalable version.

Behavioral prototypes give us confidence that our product will not only meet people's needs, but also that we can build a sustainable business around it, testing desirability and viability at once. They short-circuit the time and effort normally required to get traction signals and product-market fit.

For example, working with a company that wanted to encourage moms, who de-prioritize self-care, to exercise more, we crafted a set of curated products and experiences that could help them naturally integrate physical activity into their lives. Our WUP was a day-long, pop-up experience at a local cafe, where we offered women five kits for preorder. Each kit promoted unique benefits, like interacting with nature and connecting with others, all while exercising. We were quickly able to home in on the type of products that resonated and would lead to purchase.

Behavioral prototypes often get flack as limited tools that wouldn't yield the same insights in highly regulated industries. But we've seen them deliver there, too. We partnered with a major bank to create a new debit card supporting parents as they switched teenagers from cash to plastic. To see how parents (and kids!) would react to a card parents could observe and control, we leveraged an existing piece of technology — pre-paid travel cards. Setting it up with kids' allowances, we created a safe spending limit, monitored purchases and sent notifications to parents. Without investing in technology or hitting any regulatory barriers, we could immediately see that parents felt a sense of calm from this (as yet non-existent!) product.

Well-known companies have used these techniques as well, both to confirm initial hypotheses for their businesses, and to iterate on an initial concept. DoorDash, the delivery startup, started with a WUP that took the form of a simple landing page called PaloAltoDelivery.com, on which co-founders Stanley Tang and Andy Fang had linked PDFs of a few local restaurant menus and listed their personal phone number. Each day they got more and more food orders, which they delivered personally, until they were confident they had hit upon an unmet need.

WUPs can extend the growth of existing businesses as well. At a slightly later stage of its development, Airbnb wasn't gaining traction with listings in New York City. When they realized the hosts were not presenting their listings with quality that aligned with the price-point, co-founders Joe Gebbia and Brian Chesky flew to the city with a rented camera and took high-resolution photos of as many apartments as they could — a behavioral prototype for a new photography service offering. Within a month, revenue in the city had doubled.

You'll notice a few commonalities in these examples:

01

They were fast. All WUPs tested pretty significant hypotheses really quickly — usually in less than a week, for a product or service people could actually engage with and get something out of.

Ask yourself: What kind of prototype can be created to learn from in a day? In a week?

02

They were scrappy and required almost no build. The WUPs leveraged existing materials and resources in a way that allowed people to interact with the product as though it were a functional business.

Ask yourself: What existing materials and resources could help you convey the experience without writing code?

03

Each WUP helped the founders not only gain confidence that they were building a product people would like, but gain assurance that they were building a product people would value — and pay for.

Ask yourself: How can we incorporate a call-to-action that foreshadows willingness to pay?

04

Each WUP avoided elbow grease bias. Because the founders spent almost no time and money on these prototypes, they weren't invested in them. If they'd failed, it didn't feel like sunk costs would prevent making a change.

Ask yourself: How can I minimize my — and my company's — perceived investment so we don't bias the results?

All of this goes a long way toward providing early confidence that what you're building is right, and that you won't have a massive redesign bill later on. As tempting as an "affair-with-prototype" might be, it's time to stop thinking of prototypes as things that slow your process or harpoon your budget and instead bring them out into the open again.

So go on, stop having affairs and date your ideas before you commit. Because once you're married to a product or service, it's not easy to call it quits.

About the author

Amy Bonsall

Amy Bonsall is an alumna of IDEO, where she held leadership positions across Europe, Asia and the U.S. She most recently led venture design and business design for the Palo Alto office, helping businesses of all sizes design and launch new ventures. Her clients included Google, Adobe and many others.

2026 update

She now runs Light Actions, a company dedicated to helping companies gain AI confidence and momentum — and use it to grow. She loves that AI means we can stop having affairs with our prototypes!

Team

Who you'll build with.

Welcome to Light Actions! We have deep expertise in turning uncertainty into momentum for your organization. We've developed products, services, and businesses for companies all over the world: IDEO, Google, John Deere, Adobe, Abbott Labs, Expedia, EY, Capital One, Silicon Valley Bank, Morgan Stanley, DBS, and many more. We start with people, ask how their lives could be better or easier, then apply today's technology to make it so. Between us: organizational design, strategy and new ventures, software and agent builds, executive coaching and training, responsible AI governance, and creative work.

Amy Bonsall

Amy Bonsall

Founder & AI Engagement Lead
Tap or hover to learn more

Amy Bonsall

Founder & AI Engagement Lead

Amy co-founded IDEO's venture design practice and spent nearly a decade building it, working with executives at Google, Adobe, and John Deere to start new businesses and capabilities. Then she was VP of New Ventures at Old Navy before founding Light Actions. The pattern hasn't changed: growth is something we build together, with the people who'll run it after we leave. AI is how she does that work now.

LinkedIn →
Jen Jeng

Jen Jeng

AI Engagement Lead
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Jen Jeng

AI Engagement Lead

Jen leads client engagements and enablement projects at Light Actions. She has run new product development and innovation sprints, organisation design, and AI transformation programmes for Mars, PepsiCo, M&S, John Lewis Partnership, and Selfridges. She holds an MBA and an engineering degree.

LinkedIn →
David Beath

David Beath

AI Engagement Lead
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David Beath

AI Engagement Lead

David spent fifteen years leading innovation at IDEO, Capital One, and DBS Bank. At Light Actions he coaches leaders and builds what comes out of those conversations: a system running nightly for a global medical technology company, and agentic workflows for a global insurer.

LinkedIn →
Liam Dystant

Liam Dystant

AI Enablement Lead
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Liam Dystant

AI Enablement Lead

Liam brings 25 years of project and programme delivery to AI enablement, much of it running change programmes for Morgan Stanley, RBS, Deutsche Bank, and HSBC. At Light Actions he helps organisations treat AI adoption as a change problem rather than a technology one. His work spans governance, tool evaluation, and hands-on team upskilling.

LinkedIn →
Chog Burley

Chog Burley

AI Engagement Lead
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Chog Burley

AI Engagement Lead

Chog is a qualified architect who spent 15+ years running a visualisation company whose clients include Epic Games, The Mill, and Squint/Opera. At Rundell Associates he worked on the White Cube galleries and was project architect for Damien Hirst's Newport Street Studios. He now helps architecture practices apply AI workflows to visualisation, design, and project management.

LinkedIn →
Danoosh Kapadia

Danoosh Kapadia

AI Enablement Lead
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Danoosh Kapadia

AI Enablement Lead

Danoosh works where technology, education and business strategy meet. He helps executive teams redesign how work gets done with AI, and make it stick. Over 15 years he was a founding team member at General Assembly, helped launch IDEO U, and led XPLANE through a turnaround. The AI courses he co-created run through UT Austin, UVA, Temple and 30+ executive education programs, and he leads AI enablement for mid-market leadership teams.

LinkedIn →
Divya Balakrishnan

Divya Balakrishnan

AI Engagement Lead
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Divya Balakrishnan

AI Engagement Lead

Divya has spent 15+ years as a consultant and business operator helping orgs from startup to enterprise-scale operationalize technological and strategic change to drive growth and address key operational risks and bottlenecks. She loves rolling up her sleeves to work alongside teams trying to move the needle on business outcomes in new ways and being the human bridge between strategic change and operational reality on the ground. She has worked in 10+ global markets with media, telecom, financial services, retail and public service clients and grown an ed tech business to eight figures as the operating partner and GM.

LinkedIn →
Phil Dowgierd

Phil Dowgierd

AI Engagement Lead
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Phil Dowgierd

AI Engagement Lead

Phil has spent 25+ years leading brand and product strategy at scale: 20 in agencies including M&C Saatchi and AKQA, and 5 as Global Brand Director at EY, where he led the strategy for EY's AI platform, EY.ai. His agency work includes Silk Cut, including the brand's last ad, and Nissan's first commercial use of VR. He uses applied technology, data, and AI to create high returns on an organisation's most valuable asset: its brand.

LinkedIn →
Andy Bird

Andy Bird

Forward-Deployed Engineer
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Andy Bird

Forward-Deployed Engineer

Andy ran a London hospitality group with twelve venues, 150 staff, and no live view of the numbers, so he knows the weekly load from the inside. After that he worked in fintech, developer platforms, and technology ventures, and he now builds AI systems on Claude. His recent work includes the research pipeline and evidence-verification tools for IC Terminal, an investment due-diligence product, and AI tools for legal work. He has worked on digital-securities proposals with the Bank of England and the FCA sandbox. He starts with the unglamorous part: getting the data straight so the tool gives answers people can trust.

Ben Appenzeller

Ben Appenzeller

AI Engagement Lead
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Ben Appenzeller

AI Engagement Lead

Ben has spent 15+ years as a designer, strategist, and venture builder helping organizations turn emerging technology into new products, services, and businesses that people actually use. He's happiest in the ambiguous early stretch of a problem through initial product launch: finding where the real value lies, prototyping fast to test it, and building the business case that gets leadership to commit. He has led innovation work for Fortune 500 clients across financial services, retail, automotive, and media as a Design Director at IDEO, and built and ran innovation practices at Silicon Valley Bank and Arvest Bank. Most recently he has led AI product strategy for enterprise clients.

LinkedIn →
Georgie Mack

Georgie Mack

AI Engagement Lead
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Georgie Mack

AI Engagement Lead

Georgie helps early-stage founders use AI to grow their business. She interrogates where time, money and attention leak, frames the real problem, and then decides where AI can help. She brings 30 years of growth strategy experience to this work. She started in advertising at McCann Erickson, M&C Saatchi and DDB Budapest before spending eight years as Business Development Director and Associate Partner at IDEO, and six years as Managing Partner of the digital innovation consultancy Made by Many. Later, she was Managing Consultant at Magnetic, where she led the relationship for a major global FMCG business.

LinkedIn →
Marcel Coelho

Marcel Coelho

AI Engineering Lead
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Marcel Coelho

AI Engineering Lead

Marcel is a product engineer with over a decade of experience. He has built products for organizations including Banco do Brasil, Appen, Octave, and OpenSea. He helps engineering and product teams adopt AI through hands-on enablement, practical systems, and new ways of working.

LinkedIn →
Tracy DeLuca

Tracy DeLuca

AI Engagement Lead
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Tracy DeLuca

AI Engagement Lead

Tracy brings thirty years of human-centered design across advertising, IDEO, and healthcare to AI engagements. As Sutter Health's Design Lead, she helped build its first Design & Innovation team and led Tera Practice, a system-wide primary care redesign. She co-created Stanford's first class on psychedelic medicine and design and taught at UT Austin's MA in Design focused on Health.

LinkedIn →

Ready to unlock growth?