ChatGPT Enterprise scale
~1,000 users
~800 daily active users
AI Product Leadership
I build AI-enabled products and adoption strategies that turn emerging capability into measurable outcomes while helping people do better, more creative, and more meaningful work.

ChatGPT Enterprise scale
~1,000 users
~800 daily active users
Commerce impact
~$16M
annualized checkout upside
Systems simplified
16 -> 9
~2,000 hours saved annually
AI lift
~$2.7M
projected annual impact
Hiring for a specific role?
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Quick starts
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What I optimize for
The strongest AI products improve the numbers and the experience of doing the work. I focus on both.
Revenue, productivity, time savings, adoption, and workflow transformation tied to real operating needs.
Transparent change, practical guardrails, and rollout systems that people can understand and rely on.
Products that help people think better, create more confidently, and spend more time on meaningful problems.
Featured case studies
Each one shows a different dimension of senior AI product leadership: enterprise adoption, platform thinking, and systems-level business impact.

Annualized pilot impact
~$2.7M
Licensed users scaled
~150 -> ~1,000
Daily active users
~40 -> ~800
A recruiter-friendly story about taking AI from early promise into real production environments with measurable impact.

ORIGIN POINT
Validated AI concept
CUSTOMER SIGNAL
87% would use again
STRATEGIC SHIFT
From one-off prototypes to repeatable AI systems
A strategy story about how an early customer-facing AI prototype and UX validation shaped my thinking around reusable systems, workflow-based adoption, and platform direction.

Annualized impact
~$16M
Checkout speed
30% faster
Delivery outcome
12-week launch
A high-stakes checkout redesign that succeeded not just because of the experience changes, but because better product, UX, and engineering collaboration led to stronger decisions during build, a cleaner launch, and measurable lift.
Live products
From live alpha builds to early-stage concepts, these projects show AI-native product execution with clear scope, working artifacts, and honest stage framing.

Prototype velocity
Built in ~10 hours
Product stance
Narrative-first wedge
Current status
Live alpha
A live product case study about narrative-driven release planning, sharp product scoping, and how quickly a PM can now move from concept to working software.

Product stage
Early-stage concept
Core job
Paper + patent scouting
Trust requirement
Traceable workflow
An early-stage research grounding product combining literature and patent signals for trustworthy immunology exploration.

Environment
Simulated OMS data
Workflow scope
Lookup + cancellation
Design priority
Trust and control
Conversational OMS prototype showing how AI can support order lookup and cancellation inside enterprise workflows with clear safeguards and user control.
How I think
Essays that connect the operating logic behind the work with the future I want AI products to help build.
AI can create enormous business value. The question is whether we use that capability only to reduce work, or also to help people learn, create, discover, and flourish.
Most enterprise AI plans make the model choice feel like the big decision. In practice, the harder work is workflow fit, trust, champions, governance, and the middle layer that makes AI usable inside real systems.
Recommendations
Short excerpts that reinforce the same signal as the work itself: business impact, strategic clarity, and strong cross-functional trust.
One of the rare few who can actually execute AI strategy — and knows the difference between a compelling demo and a deployable solution.
Don was senior to Daniel but didn't manage Daniel directly
Don Worsham
Director: Strategic Contracts, Sourcing, and Spend
May 26, 2026
At the tip-of-the-spear of AI adoption — and made sure the whole company was right there with him.
Zac was senior to Daniel but didn't manage Daniel directly
Zac Bogart
SVP of Digital, Digital Marketing Leader, Strategist, & Executionist
March 4, 2026
Built reusable GPT-powered tools, launched the first ChatGPT Enterprise pilot, and delivered huge ROI.
Sumanth managed Daniel directly
Sumanth Cherukuri
AI Transformation | Digital Transformation | AI Innovation & Enablement
December 29, 2025
Shaped scalable ChatGPT integrations, multi-agent architectures, and enterprise guardrails into clear product strategies.
Daniel Kingston worked with Daniel on the same team
Daniel Kingston Thiruthuva Das
Senior Software Engineer @ The Guitar Center Company
September 29, 2025
Spearheaded enterprise AI adoption and shortened development cycles by giving teams the AI tools and platforms they needed.
Scott worked with Daniel on the same team
Scott Tesar
Strategic Business Partner | Financial/Sales Manager | BizOps improvement | MBA/CPA (inactive)
April 10, 2026
Partnered on AI initiatives including an OMS MCP server connector for ChatGPT — forward-thinking and willing to ship the new.
Domnic worked with Daniel but on different teams
Domnic Nadar
Software Engineering Manager - OMS at Guitar Center, Inc
April 10, 2026
Creative edge
My background in composition sharpens systems thinking, narrative craft, and taste. It shows up in how I frame ambiguity, prototype fast, and design product experiences that feel coherent instead of stitched together.

Contact
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