Human-AI Systems Design

Intelligence is
no longer scarce.Understanding is.

I work at the translation layer between frontier AI capability and human adoption — helping organizations understand what agentic systems actually change about how people work, decide, and collaborate.

Current Global Head of Design, H-AI & Emerging Systems
Base New York
Open to Principal / Director — Frontier Labs
Scroll
00 — Position

The gap between
what AI can do
and what organizations
can absorb.

As Global Head of Design, Human-Centered AI & Emerging Systems at ?What If! / Accenture, I lead multidisciplinary teams designing how agentic AI, simulation environments, and emerging decision systems become usable inside real organizations.

My work focuses on the translation layer between model capability and human adoption: designing agent-orchestrated enterprise workflows, building simulation-supported decision environments, developing narrative prototypes that make future systems legible before they exist, and helping leadership teams move from automation thinking toward human-AI collaboration models.

Across retail, healthcare, transportation, and public infrastructure, I help organizations prepare for intelligent systems not just as tools — but as partners in decision-making. Increasingly, this means designing how agentic systems enter organizations responsibly and become part of everyday decision environments.

My signal work: making the future of AI adoption legible to the people who have to live inside it.
01 — Experience
2019 — Present
Accenture / ?What If!
Global Head of Design, Human-Centered AI & Emerging Systems
Lead multidisciplinary teams translating frontier AI capability into workflows, roles, and behaviors that organizations can recognize and adopt. Design agent-orchestrated enterprise systems and simulation-supported decision environments for C-suite transformation programs across global clients in retail, healthcare, and public infrastructure.
Agentic AI Systems design C-suite engagement Anthropic API Interactive prototyping
2014 — 2019
?What If! Innovation Partners
Creative Director
Led multidisciplinary teams applying human-centered design across a wide range of industries — retail, financial services, healthcare, consumer goods, and public sector. Work centered on understanding how people actually think, decide, and behave inside complex systems, and using that understanding to design products, services, and organizational experiences that worked with human nature rather than against it.
Narrative prototyping Interaction futures Adoption architecture
02 — Evidence (six cases)
001
Starbucks: Designing AI That Protects the Human Moment
Seventy percent of U.S. Starbucks transactions happen in the drive-through. The challenge was not how AI could accelerate the interaction — it was how AI could protect the conditions that make connection possible. We designed agentic support systems that surfaced signals like tone shifts, timing pressure, and loyalty context not as instructions, but as subtle prompts that preserved the barista's authorship of the interaction.
Signal: Human-AI interaction under real-time pressure
Retail / customer experience
002
Walmart: Agent-Orchestrated Decision Environments for Volatile Supply Systems
Fresh supply chains are shaped by weather variability, logistics timing, demand elasticity, shrink risk, and substitution behavior. Human operators manage these forces intuitively — but rarely see them as a connected system. We designed a multi-agent coordination environment where forecasting, logistics, pricing, and substitution agents produced shared situational awareness. Teams stopped reacting locally. They began responding systemically.
Signal: Agent orchestration across distributed systems
Retail / supply chain
003
Walmart Home Office: Designing the Moment Agents Become Infrastructure
Early AI deployments require explicit interaction. Mature deployments become ambient coordination layers that support decision-making without demanding attention. We designed a behavioral walkthrough showing what work looks like once agents become normal — the moment employees stop asking "what can this system do?" and begin asking "what does the system already know that helps me decide?"
Signal: Behavioral activation of agent ecosystems
Enterprise / workforce transformation
004
Southwest Airlines: Designing the Adoption Layer for Enterprise Intelligence Systems
Organizations rarely resist intelligence infrastructure itself. They resist invisible changes to responsibility. We designed narrative prototypes following a single traveler across an end-to-end journey — not presenting the platform as architecture, but as behavior. The platform stopped being perceived as a marketing upgrade and started being understood as an organizational memory layer.
Signal: Enterprise intelligence as shared memory infrastructure
Aviation / customer intelligence
005
Carhartt: Designing Workforce Modernization Without Breaking Identity
Organizations adopt intelligent systems more successfully when employees see those systems strengthening the continuity of their role rather than redefining it. We designed narrative prototypes showing modernization appearing inside familiar work environments — production teams seeing upstream context earlier, designers understanding downstream constraints sooner, experience accumulated on the floor becoming organizational memory.
Signal: Identity-safe workforce modernization
Manufacturing / workforce transformation
006
Mastercard: Designing Trust Infrastructure for Agentic Commerce Environments
As intelligent assistants begin recommending purchases, managing subscriptions, and coordinating transactions on behalf of people, trust must become programmable. We designed scenario walkthroughs showing how delegation becomes understandable — not how automation becomes invisible. The payment network evolves from transaction processor to orchestration layer between identity, intent, authorization, and action.
Signal: Trust-preserving agentic commerce delegation
Financial services / agentic commerce
03 — Contact

Let's talk about
what comes next.

Open to Principal / Director-level conversations at frontier labs — particularly roles focused on human-AI interaction design, agentic systems adoption, or AI deployment and responsible introduction at scale.

Email
jeremydawkins@mac.com
LinkedIn
linkedin.com/in/dawkins-jeremy
Resume / CV
PDF available on request