Digital Product Leader · Honest AI Advocate
“I build digital products that work alongside people — so they can solve problems that matter, create more, think bigger, and spend less time working harder than they have to.”
22 years launching first-to-market digital products in regulated industries. A public voice for Honest AI. A product instinct that grows sharper the deeper the understanding of the technology.
Philosophy
“My goal is to make digital products, AI, and machines work with us — helping people achieve their goals faster without removing human intelligence or human comprehension.”
The best product I can build is one that makes the person using it feel more capable, more informed, and more empowered — capable of solutions to their own issues. Every feature we ship asks one question first: does this make the person on the other side more capable than they were before? Because a product that doesn’t empower its user hasn’t done its job.
Not always the easiest path when directives come from above, but always the right one. I am seeking a leadership role specifically so I can build the kind of culture where honesty doesn’t have to be a fight — where honest assessments, honest timelines, and honest AI are simply how we work.
Applied across digital wallets, tokenization, decentralized networks, and AI. The more I understand a technology, the more uniquely I can apply it — in ways others have not yet seen.
The hardest problems get solved by teams who tell each other the truth and stay close to the ground — but so do the simplest ones. Sometimes the most meaningful change is the smallest one, and it just takes someone willing to speak up, suggest it, and see it tested. I keep my feet on the ground, my door open, and my team close enough to the real issue that we never miss what’s right in front of us. That is where breakthroughs actually happen.
What I Build
My experience is in financial services, but the skills — regulatory navigation, first-to-market launches, cross-functional leadership, and a commitment to honest AI — translate anywhere that digital products need to work harder for people. At my core I am a solutions leader. Not a dreamer — though I have been called one. I am analytical by nature, and I am drawn to problems that actually matter to real people. I look for what needs solving, I dig into why it hasn’t been solved yet, and then I work with others to figure it out — because we all bring different talents to the table, and the best solutions come from alignment, not from any one person taking over the room. This has never been about the technology for its own sake. It has always been about what the technology can do for the person on the other side of it.
Where compliance is a competitive advantage. I have navigated Visa, Mastercard, Apple, and financial regulatory frameworks for over two decades. Beyond fintech, I am an active and self-directed reader across regulated industries — healthcare, legal tech, govtech, and aviation — following regulatory developments, industry news, and emerging frameworks because understanding the rules of a new environment is always the first step to building something better inside it.
Decentralized AI, DKG, Blockchain, Web3. Not as buzzwords — as genuine tools I have researched deeply and spoken about publicly. Publicly proposed applying OriginTrail’s DKG to scale a breakthrough pharmacogenomics algorithm that could address the 100,000+ Americans dying annually from adverse drug reactions. Actively engaged with the ethical questions raised by the Take It Down Act — how AI can protect intimate privacy without suppressing real, legitimate truth.
The same rigor that protects millions of cardholders protects patients. Regulatory compliance, data integrity, and the consequences of getting it wrong are not abstract concepts to me — they are the environment I have worked in for over two decades. Healthcare demands that same standard, and then some. My independent research into applying OriginTrail’s Decentralized Knowledge Graph to pharmacogenomics is rooted in a simple belief: that honest, verifiable data shared across networks could be the difference between a patient receiving the right medication and becoming one of the 100,000+ Americans who die annually from adverse drug reactions. I am not a clinician — but I am a product leader who knows how to take a breakthrough idea, ask the hard questions about risk and cost, and build the process that gets it from concept to reality. That combination is exactly what healthcare technology needs.
Every product I have ever built has touched everyday people — the cardholder at the ATM, the customer provisioning their debit card into Apple Pay, the bank employee navigating a new compliance requirement. GovTech is the same equation at a larger scale: real people, real consequences, and zero tolerance for getting it wrong. I understand what it means to build in environments where failure has human cost — where a broken process doesn’t just hurt a metric, it hurts a person. I have spent over two decades navigating the intersection of regulatory compliance, cross-functional teams, and products that non-technical people depend on daily. I am also deeply engaged with the ethical questions that AI in government raises — around data integrity, privacy, truth, and who gets protected and who gets overlooked. These are not theoretical concerns to me. They are the reason I care about Honest AI in the first place.
Early in my career at EDS, I supported Walmart and 7-Eleven on a customer service level through the data center — keeping their Host and ATM systems running and their people informed. Within a year I became the corporate trainer, teaching others how to do the same. That experience gave me something most digital product leaders never get: a ground-level understanding of how retail actually operates, where it breaks, and what the people inside it actually need. The intersection of physical retail, commerce, and the digital infrastructure behind it is where I started — and where part of my heart still lives. I carry personal product goals in the physical space — solutions to real, everyday problems that I believe Honest AI and digital platforms will drive awareness for, and that the right manufacturing partner and angel investor will one day help bring to life. I am not just a digital product leader. I believe the best products you can hold in your hand are still waiting to be built — and that the right technology, honestly applied, is what gets them there.
The most interesting products I have ever built had no roadmap, no precedent, and no guarantee of success. The first digital card art in the US. Apple Pay for thousands of financial institutions. Fiserv’s first fully integrated cross-platform digital product. None of these had been done before. All of them shipped on schedule. Being first was never the goal — solving the problem was. The rest followed. That said, first-to-market is rarely flawless. What QA doesn’t catch, production sometimes will. I have been in war room calls at all hours, coordinating fixes, sending notifications to banks and credit unions, and staying in the room until it was resolved — always within 24 hours. Shipping on time matters. Owning what happens after matters just as much.
Career
A decade of first-to-market, feet on the ground, and war rooms at midnight.
2022 — Present
Self-Directed
Deliberately stepped back to manage family while maintaining deep professional engagement. Invited to speak at The Silver Logic’s “AI Uncorked” event in Boca Raton, FL (Oct 2024) on Polkadot’s AI innovations, PhalaNetwork, OriginTrail DKG, and the Digital Individuality Mechanism. Independently proposed applying DKG to pharmacogenomics research — potentially scaling a breakthrough algorithm to address the 100,000+ Americans who die annually from adverse drug reactions. Has additionally explored applying DeSci frameworks to the integration of Eastern and native medicine — areas where generational knowledge and cultural healing practices exist outside of Western clinical systems, and where honest, verifiable data infrastructure could help preserve, validate, and scale what has worked for communities for centuries without erasing what makes it theirs. This is not a rejection of Western medicine — far from it. Western medicine saves lives every day and its role is irreplaceable. The vision is integration: a world where both systems are respected, where data is honest enough to show what works and for whom, and where a patient benefits from the full spectrum of human knowledge rather than only the part that got formally documented.
2019 — 2022
Fiserv
Led a Rewards portfolio product suite across Debit and Credit cards, managing two third-party vendor relationships simultaneously — one responsible for fulfilling physical product rewards and both physical and digital gift cards, and a second that powered the offer and discount engine for retailers surfaced within banking applications via API. Coordinated between internal teams and external partners to ensure seamless delivery, system reliability, and a consistent client experience across thousands of banks and credit unions. Partnered with Legal, Compliance, and Risk to navigate evolving regulations. Built executive reporting dashboards and ran A/B testing at scale to optimize engagement and conversion.
2016 — 2018
Fiserv
Executed Fiserv’s first fully integrated cross-platform digital product ahead of schedule. Led international teams — restructuring personal working hours to align with team members in New Zealand. Servant leadership in practice.
2014 — 2016
Fiserv
Played a central role in bringing Apple Pay and Samsung Pay to market for thousands of US banks and credit unions. Worked alongside the Product Manager with such depth and breadth that the role effectively spanned both positions — enabling the creation of onboarding processes that worked at every level of the organization, from executive alignment to client-facing execution, and serving as the connective tissue across legal, compliance, sales, onboarding, settlement, and the card networks simultaneously. Worked directly with corporate lawyers to have restrictions removed that were blocking the onboarding process flow, and collaborated with legal on Terms and Conditions for both wallets on behalf of Fiserv’s integration launch. Designed the full end-to-end process flow from Sales through the onboarding team. Produced all settlement documentation in partnership with a documentation writer for client-facing manuals. Met with Visa and Mastercard multiple times per week to align on mandates and compliance requirements. Oversaw integration of Data Elements in network messages for tokenization. Launched digital card art — the first time in the US — building a scalable Qualtrics pipeline to collect unique card art from hundreds of institutions with no existing playbook.
Prior to 2014
EDS (acquired by Fiserv)
Certified message standards across Visa, Mastercard, American Express, Discover, and basic banking networks. Trained data center employees in NJ and TX on compliance, Host and ATM operations for Walmart, 7-Eleven, and banks including Fifth Third. Developed adaptive teaching methods based on individual learning styles. Elevated to Manager overseeing Microfiche operations with Iron Mountain — identified and recovered over $100,000 in unaccounted funds.
Honest AI
Invited Speaker · AI Uncorked · The Silver Logic · Oct 30, 2024 · Boca Raton, FL
The invitation to speak came not from a polished proposal, but from an honest question. At an Innovation Day event hosted by the Alan B. Levan | NSU Broward Center of Innovation, Hope attended a panel called “AI Ethics” and did what she has always done — she asked the honest question. Not to disrupt, but because she genuinely wanted to know where the ethics were in the conversation. That question started everything that followed. She later discovered the panelist was a founder of The Silver Logic and a Visa veteran. Recognizing shared industry ground, she sought him out for a one-on-one conversation. That conversation led to an invitation to attend his talk at The Silver Logic. After his talk, the team invited her to speak the following month. She accepted. The result was a full-room presentation at “AI Uncorked” covering PhalaNetwork, OriginTrail’s DKG, and the Digital Individuality Mechanism by Gavin Wood — through the lens of what Honest AI looks like when it operates in the real world, not just in theory. The Silver Logic’s announcement tweet reached 2,200 impressions. The presentation was recorded by The Silver Logic for their community — available to those in the space.
Original Idea · Published on X @Hopeioum · April 2025
Publicly proposed applying Decentralized Knowledge Graphs to scale a 12-year-old’s 2016 algorithm that could scan DNA for dangerous drug-reaction mutations in seconds. Over 100,000 Americans die annually from adverse drug reactions — the fourth leading cause of death. Could DKG provide the honest, verifiable data infrastructure to take that breakthrough to clinical scale? The immediate follow-up: what are the risks, and what would it cost? Because that is how a product leader thinks.
Privacy is not a feature — it is a right. The Take It Down Act exists because real people have had their most intimate moments weaponized without consent, and AI platforms have been complicit by design or by neglect. Both are unacceptable. I have spent over two decades building products where the security of a cardholder’s data was non-negotiable — where taking someone offline wasn’t a metric, it was a person harmed. That same standard belongs in every AI system touching human lives. Individual privacy is not an obstacle to innovation. It is the boundary that makes innovation trustworthy.
When I stood up at an AI Ethics panel and asked where the ethics were, this is part of what I meant. AI systems powerful enough to remove harmful content are also powerful enough to erase legitimate truth — and the line between the two is not always clean. A news story that makes someone uncomfortable is not misinformation. A cultural practice that differs from the mainstream is not dangerous. A scientific finding that challenges consensus is not automatically wrong. We need AI moderation systems honest enough to know the difference — and humble enough to admit when they don’t. Silencing the wrong voice, even once, has consequences that compound quietly over time.
Decentralized Knowledge Graphs exist to make data honest, traceable, and trustworthy. AI built on unverifiable data is not trustworthy AI. People adding real, honest data over time is what allows for clearer solutions to real world problems. If what goes in isn’t honest, what comes out will quietly hinder humanity — not all at once, but gradually, in ways that are hard to trace and harder to reverse. We need systems and processes deliberately designed to support honesty at the point of data entry, not just at the point of output. That is where the real work is.
My smartphone made me smarter because I could look up any topic and speak to it confidently — on the road for work, with friends, with family. Honest AI should be no different. Not a replacement for human judgment, but a tool that sharpens it in real time. The pilot who avoids turbulence because the data was honest. The doctor or nurse who provides better care because the right information arrived at the right moment. The government budget that is lean but effective because the numbers are real. The retailer who stocks, ships, and delivers seamlessly because the system tells the truth about what people actually need. That is the world Honest AI builds — one better decision at a time, made by a human who was given what they needed to make it.
Nation states using AI to harm people is not a hypothetical — it is happening. And yet the conversation about how to build systems that protect us from that kind of override is barely happening at the level it needs to. I am not smart enough to solve this alone, and I know that. But I believe the right people, coming together honestly, could build toward an answer. That is not a dream — or maybe it is, but it is the kind of dream that becomes real when the right people stop waiting for someone else to raise their hand. Consider this mine raised.
Writing
What if the infrastructure already exists to make AI honest — not as a policy, but as a technical guarantee? Five applications of Decentralized Knowledge Graph technology across healthcare, pharmacogenomics, Eastern medicine, truth preservation, and human sovereignty. A proposal for what Honest AI looks like when it is built, not just promised. Written to Trace Labs, OriginTrail, Anthropic, and xAI — and to anyone willing to help build it.
Read on Medium →More writing on Honest AI, decentralized data, and the products worth building. When it’s ready to be said in public, it will be here.
Contact
I am not looking for any role. I am looking for the right one — where intelligent people are building something that genuinely helps people, with honesty at the core of how they do it. If that sounds like your organization, I would love to hear from you.