Design is not a department. It’s a business strategy.

David Glazier Portrait

David Glazier | Strategic Alignment Architect. I bridge the gaps between strategy, product, and engineering. By orchestrating AI and human loops, I build the systems that transform silos into unified, high-leverage outcomes.

Webby Award Webby Award 3x Winner
World Design Capital World Design Capital Ambassador
Good Design Good Design Good Design Award
UX Speakeasy UX Speakeasy Board of Directors ('22-'25)
Driving operational outcomes at scale across
Walmart
Shopify
Illumina
Intuit
Healthcare
E-commerce
Fintech
AI Marketing
The Alignment Reality

Companies are prioritizing AI, but most initiatives slam into the reality of organizational friction.

When Business, Product, Design, and Engineering operate in silos, even the strongest technical capabilities stall at the pilot phase.

I build the systemic bridges that clear this hurdle: connecting strategic intent to execution to turn fragmented demos into unified, scaled adoption.

The Layered Stack

Bridging the gaps between intent and technical execution.

Layer 1

Strategic Intelligence

Aligning high-level business objectives with product roadmaps to ensure every decision drives ROI.

Layer 2

Agentic Architecture

Designing the seamless loop between human intent and machine execution. We map raw LLM outputs into safe, structured workflows that prevent automation anxiety.

Layer 3

Operational Governance

Building the systems and guardrails that allow AI-human hybrid teams to scale. This establishes transparent trust UX and clear decision boundaries for regulated environments.

Layer 4

Adoption Instrumentation

Measuring outcomes, not just API calls. We define and track behavioral metrics (override rates, time-to-decision) to ensure the Alignment Engine drives daily adoption.

Proof of Execution
+19% Workflow Adoption
Cross-functional
Walmart: Led cross-functional design and operating alignment for a 14-team integration, driving workflow adoption (+19%), DAU retention (+27%), and GMV tasks (+15%).
+62% Task Success
Cross-functional
Shopify: Partnered across product and engineering to architect decision-support tooling, improving feature retention (+41%).
85% Tool Usage
Lead UX
Illumina: Led UX for a critical scientific planning flow, improving trust, discoverability, and commercial stickiness.
33% Behavior Lift
Sole Designer
Intuit / TurboTax: As sole designer on key checkout trust flows (including Apple Pay trust-critical UX), drove a 33% checkout conversion lift.
The AI Adoption Model

The Trust & Adoption Layer

01

Efficiency

Streamlining cognitive load, not just click paths. Good workflow design anticipates operator needs and pre-loads context, reducing the time spent finding right information.

02

Trust

Designing transparent, governable feedback loops. System confidence requires explicitly explaining "why" a model made a recommendation, including sources, citations, and risk-levels.

03

Ease of Use

Making advanced capability feel like native intuition. Interface patterns should stay familiar, gently introducing new capabilities within workflows people already know.

04

Foundations

Creating resilient component systems for AI UI. Standardized design tokens ensure generative content is presented consistently, building structural reliability.

05

Cost

Measuring outcome impact, not just token usage. A successful implementation bridges the gap between infrastructure cost and business value generated by user action.

New Founding Pilot

Rapid MVP Workflow Setup

A focused implementation sprint for one approved workflow in your existing stack, designed to improve execution clarity and follow-through.

View Pilot Details

If your team has AI capability but weak adoption, let’s fix the operating layer.

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