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Who we arehello

We are AWSM LABS — abusiness-focused applied AI labbringing clarity to CHAOS.

We help the future Fortune 500 identify, implement, and govern the AI that actually moves the business — turnkey solutions that turn AI potential into holistic ROI and growth.

What we are

A design-led,business-focusedapplied AI lab.

A lab — deliberately, not a consultancy or an agency. AI is too new, and changing too quickly, for anyone to credibly stand above it as experts or gurus handing value down from the top.

We believe value is found, not declared — through research, experimentation, and exploration, disciplined by process and patterns that turn what we learn into repeatable outcomes. That's innovation, and it's exactly what a time of relentless change and accelerating technology calls for.

AWSM

Advancing Workflows to Scale Markets

LABS

Leveraging AI for Breakthrough Strategies

Why we exist

AI doesn't fail because the techisn't ready. It fails due to CHAOS.

For most enterprises, AI arrives as (AI) CHAOS — confusion, hesitation, anxiety, overwhelm, and skepticism that obscures real ROI. Incredible tooling, almost no clarity on where it pays off.

Roughly 200,000 U.S. mid-size enterprises ($10M–$1B ARR) are unsure or underprepared for their AI migration. We exist to bring clarity to that chaos — and turn it into measurable growth.

CONFUSIONHESITATIONANXIETYOVERWHELMSKEPTICISM(AI)CHAOS
What we believe

We see AI activation not as atechnology problem — but adesign & strategy one.

AI is only useful when it's directed at the workflows that matter — and amplifies human capability in the process. So we work across two fronts at once.

Business

We help companies capture their value context — tying action to revenue-aligned areas while enabling the human resources they already have.

People

We understand workflows, amplify capabilities, and extend each person's capacity to expand on what's possible.

How we're different

Eight principles.

The operating beliefs behind every engagement — and the reason clients don't shop elsewhere.

01

Amplification over replacement

The real value of AI is as a force multiplier of human potential — increasing what's possible through collaboration. We call it activated intelligence.

02

A design-based approach

An iterative, end-to-end systems approach that ensures human needs drive AI implementation, and solutions fit into the actual work.

03

Relentless pursuit of value

Every AI initiative is grounded in tangible, quantifiable value — built to deliver measurable impact, not impressive demos.

04

Cross-disciplinary teaming

Combining design, engineering, strategy, and change management delivers solutions that are considered, comprehensive, and sustainable.

05

Teach by doing

Lasting AI capability is built inside teams through hands-on learning, coaching, and iterating — we teach while we build.

06

Innovate, responsibly

Clear governance structures keep every implementation secure, transparent, and ethical.

07

Built to scale

Meaningful AI solutions start focused and small, then grow confidently with a client's culture and capabilities.

08

Collective excellence

One team, one mission. We embed with clients to win across both operational and commercial dimensions.

Core leadership

The skill of big +the speed of small.

Operators and builders from McKinsey, BCG, AWS, Frog, and the world's biggest brands — assembled as a small, senior team that moves fast and ships.

FD
FD

Fritz Desir

Managing Partner · Strategic Design

29+ years across digital experience, product, and strategy. Former North America Head of Strategic Design at BCG and experience design director at McKinsey & Company. Two-time founder, certified product owner, and former NYU adjunct instructor.

McKinseyBCGIBM iXPublicis SapientOmnicomDigitas
PC
PC

Pablo Cruz Pou

Partner · Product & GTM

12+ years in venture building and business development. Founder of JULO Exchange (1 exit) and former lead senior product manager at Frog Design. Fellow at Chicago:Blend and Alumni Ventures.

frogAlumni VenturesChicago:BlendMorgan Stanley
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JK

Dr. Jacques Kotze

Partner, Lead · Data Science / ML

15+ years of AI research, implementation, and commercial application. Ph.D. in Applied Mathematics; researcher at Oxford and Stanford. Co-founder of a VC-backed adtech company across 10 countries with a PE exit. Board member at 10 Academy.

OxfordStanford10 Academy
SA
SA

Dr. Solomon Abiola

Technology Lead · Data Science / ML

10+ years in AI/ML product development. Two-time SaaS founder and two-time Head of Engineering. Launched AWS Educate to 100,000+ customers, driving $5M in revenue. BSE Princeton, MS Carnegie Mellon, and dual PhDs from Rochester.

AccentureAWSCarnegie MellonPrinceton
PM
PM

Peter March

Experience & Process Design Lead

20+ years in interaction design across CPG, tech, and healthcare — including Bayer, Sanofi, and Novartis. Former Director of UX at FCB Health, Neon, and VML. Former UX instructor at Miami Ad School.

VMLDigitasFCB HealthNeon
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AF

Adrian Franks

Associate Partner · Design Lead

25+ years of multidisciplinary creative leadership across design, advertising, and culture — known as A.d.FRNK. Shaped branding and UX for Coca-Cola, Toyota, and AT&T, and designed one of the first Apple Watch apps. A Gold Addy winner and Advertising Age 40-under-40, with work featured in the Smithsonian's American Enterprise exhibition.

Coca-ColaToyotaAT&TAppleSmithsonian
By the numbers

A small team with an outsized track record.

0

Combined years of experience

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Senior partners & leads

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Fortune 500 brands shipped for

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Real-world AI use cases benchmarked

0

PhDs across the team

ROI guarantee on every build

Ex-McKinsey · BCG · AWS · Frog · Accenture · Bank of America

How we work

A process thatstarts with value.

We define the dollar value before we build — then design, deploy, and iterate toward outcomes that compound.

1

Uncover

Purpose & potential

We map all the known issues and the value areas worth pursuing — defining where AI could compound before we commit to anything.

2

Prioritize

In dollar terms

We identify, quantify, and rank value areas first — alongside the personnel growth opportunities to re-, up-, or cross-skill.

3

Co-design

The roadmap

With an exploration mindset, we look internally and evaluate partners and tools — breaking analysis paralysis while creating structure, stability, and security.

4

Execute

& iterate relentlessly

A value-based AI roadmap to deploy, pilot, and improve — outcomes we iterate on until the ROI is undeniable.

Let's talk

Let's buildsomething awesome.

Whether you're exploring AI for the first time or scaling what's working, we'd love to hear what you're trying to move.